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CN118376895B - Method and system for detecting and positioning partial discharge defect of high-voltage sleeve - Google Patents

Method and system for detecting and positioning partial discharge defect of high-voltage sleeve Download PDF

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CN118376895B
CN118376895B CN202410807153.0A CN202410807153A CN118376895B CN 118376895 B CN118376895 B CN 118376895B CN 202410807153 A CN202410807153 A CN 202410807153A CN 118376895 B CN118376895 B CN 118376895B
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partial discharge
frequency current
voltage sleeve
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current pulse
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CN118376895A (en
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李密
陈杰
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Shanghai Lingzhi Internet Of Things Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
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Abstract

The invention provides a method and a system for detecting and positioning partial discharge defects of a high-voltage sleeve, which are used for periodically detecting high-frequency current in a final screen grounding loop of the high-voltage sleeve to obtain a plurality of high-frequency current pulse signals, screening part of the high-frequency current pulse signals to perform phase detection to obtain phase characteristic information, and performing state representation on the high-frequency current signals generated by the high-voltage sleeve; determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information, so as to construct a partial discharge characterization model of the high-voltage sleeve, obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period, and accurately predict the partial discharge state of the high-voltage sleeve; and determining real-time partial discharge characteristic information of the high-voltage sleeve based on the real-time high-frequency current pulse signal of the high-voltage sleeve, comparing the real-time partial discharge characteristic information with the predicted partial discharge characteristic information, determining state information of a partial discharge abnormal region of the high-voltage sleeve, and effectively checking potential safety hazards of the high-voltage sleeve.

Description

Method and system for detecting and positioning partial discharge defect of high-voltage sleeve
Technical Field
The invention relates to the field of discharge detection, in particular to a method and a system for detecting and positioning partial discharge defects of a high-voltage sleeve.
Background
The high-voltage bushing of the transformer is core equipment of the transformer, is used as an insulating isolation device between the transformer and the outside, and can ensure the working safety of the transformer. The high-voltage bushing is required to bear the high voltage action from the transformer in the working process, and when the high-voltage bushing is used for a long time, the problems of insulation aging and the like can be avoided, so that the high-voltage bushing is easy to break down by the high voltage from the transformer to generate partial discharge. The partial discharge of the high voltage bushing contains high frequency current components that can cause irreversible damage to the adjacent electronics, thereby affecting the proper operation of the overall transformer system. In addition, the high frequency electric field formed by the partial discharge of the high voltage bushing breaks down the surrounding air, thereby creating a certain safety risk. In order to ensure normal and safe operation of the transformer, the partial discharge defect of the high-voltage bushing needs to be accurately detected, so that potential safety hazards existing in the high-voltage bushing can be timely found.
Disclosure of Invention
The invention aims to provide a method and a system for detecting and positioning partial discharge defects of a high-voltage sleeve, which are used for periodically detecting high-frequency current in a final screen grounding loop of the high-voltage sleeve to obtain a plurality of high-frequency current pulse signals, screening part of the high-frequency current pulse signals to perform phase detection to obtain phase characteristic information, and performing state representation on the high-frequency current signals generated by the high-voltage sleeve; determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information, so as to construct a partial discharge characterization model of the high-voltage sleeve, obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period, accurately predict the partial discharge state of the high-voltage sleeve, and provide a reference for the follow-up identification of partial discharge defects; and determining real-time partial discharge characteristic information of the high-voltage sleeve based on the real-time high-frequency current pulse signal of the high-voltage sleeve, comparing the real-time partial discharge characteristic information with the predicted partial discharge characteristic information, determining the existence state information of the partial discharge abnormal region of the high-voltage sleeve, accurately detecting the partial discharge state of the high-voltage sleeve in a high-frequency current detection and model construction mode, positioning the partial discharge defect and the degree thereof in time, and effectively checking the potential safety hazard of the high-voltage sleeve.
The invention is realized by the following technical scheme:
a method for detecting and positioning partial discharge defects of a high-voltage sleeve comprises the following steps:
Periodically detecting high-frequency current in a final screen grounding loop of the high-voltage sleeve to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals; screening part of the high-frequency current pulse signals to perform phase detection to obtain phase characteristic information of the high-frequency current pulse signals;
determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information; constructing a partial discharge characterization model of the high-voltage sleeve based on the partial discharge signal characteristic parameters, and obtaining predicted partial discharge characteristic information of the high-voltage sleeve in a future time period based on the partial discharge characterization model;
Determining real-time partial discharge characteristic information of the high-voltage sleeve based on a real-time high-frequency current pulse signal of the high-voltage sleeve; and determining existence state information of a partial discharge abnormal region of the high-voltage sleeve based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information.
Optionally, periodically detecting high-frequency current in a final screen grounding loop of the high-voltage sleeve to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals; screening part of the high-frequency current pulse signals for phase detection to obtain phase characteristic information of the high-frequency current pulse signals, wherein the method comprises the following steps:
carrying out continuous high-frequency current detection on a last screen grounding loop of the high-voltage sleeve to obtain high-frequency current signal continuous change data of the high-voltage sleeve; analyzing the continuous change data of the high-frequency current signal, and estimating the distribution characteristic information of the appearance time of the high-frequency current component of the high-voltage sleeve;
Determining a detection period for periodically detecting the high-frequency current of the end screen grounding loop based on the distribution characteristic information of the occurrence time of the high-frequency current component, so as to detect the high-frequency current of the end screen grounding loop, and obtaining high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals;
Acquiring a high-frequency current component duty ratio in a preset frequency range of a high-frequency current pulse signal corresponding to each time interval, and judging the high-frequency current pulse signal to be an effective high-frequency current pulse signal if the high-frequency current component duty ratio exceeds a preset duty ratio threshold; performing phase detection on all the effective high-frequency current pulse signals to obtain phase characteristic information of the high-frequency current pulse signals; the phase characteristic information comprises characteristic information related to the change of the electrical parameter of the high-frequency current pulse signal along with the change of the signal phase.
Optionally, determining a partial discharge signal characteristic parameter of the high-voltage bushing based on the phase characteristic information; based on the partial discharge signal characteristic parameters, constructing a partial discharge characterization model of the high-voltage sleeve, and based on the partial discharge characterization model, obtaining predicted partial discharge characteristic information of the high-voltage sleeve in a future time period, wherein the method comprises the following steps:
The characteristic information of the electrical parameters of the high-frequency current pulse signals contained in the phase characteristic information is related with the change of the signal phase, corresponding electrical parameters are distinguished and extracted, and the characteristic parameters of the partial discharge signals of the high-voltage sleeve are determined; the partial discharge signal characteristic parameters comprise partial discharge peak values, partial discharge change rates, partial discharge factors and partial discharge interference coefficients;
Performing neural network learning on the partial discharge signal characteristic parameters, constructing a partial discharge characterization model of the high-voltage sleeve, and analyzing all high-frequency current pulse signals which are not screened for phase detection by using the partial discharge characterization model to obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period; wherein the predicted partial discharge characteristic information includes partial discharge intensity and occurrence position information of the high-voltage bushing in a future period of time.
Optionally, the periodic high-frequency current detection is performed on the end screen grounding loop of the high-voltage sleeve, so as to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals, including:
Step S1, performing simulation integration according to real-time current values detected by the modules in unit time intervals by using the following formula (1) to obtain high-frequency current pulse signal amplitude values of the high-voltage sleeve in the corresponding unit time intervals,
（1）
In the above-mentioned formula (1),Representing the amplitude of a high-frequency current pulse signal of the high-voltage sleeve in a corresponding unit time interval; Representing the first detected module in a unit time interval A plurality of current values; representing a critical threshold of high frequency current; representing the total number of current values detected by the module in a unit time interval; Representation of if The overall output value is 1, ifThe overall output value is 0;
step S2, performing simulation integration according to the real-time current value detected by the module in the unit time interval by using the following formula (2) to obtain the signal width of the high-frequency current pulse signal of the high-voltage sleeve in the corresponding unit time interval,
（2）
In the above-mentioned formula (2),Representing the signal width of the high-frequency current pulse signal of the high-voltage sleeve in the corresponding unit time interval; A frequency value representing a real-time current value detected by the module within a unit time interval;
Step S3, dividing the signal width of the high-frequency current pulse signal of the high-voltage bushing in the corresponding unit time interval according to the real-time current value detected by the module in the unit time interval by using the following formula (3) to obtain a plurality of high-frequency current pulse signals,
（3）
In the above-mentioned formula (3),Representing the number of the plurality of high-frequency current pulse signals obtained by segmentation; The overall output value is 1 if the expression in the brackets is satisfied, and is 0 if the expression in the brackets is not satisfied.
Optionally, determining real-time partial discharge characteristic information of the high-voltage bushing based on the real-time high-frequency current pulse signal of the high-voltage bushing; determining partial discharge abnormal region existence state information of the high-voltage sleeve based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information, including:
Acquiring a real-time high-frequency current pulse signal of a high-voltage circuit corresponding to the high-voltage sleeve under the condition of continuous power transmission, modeling the real-time high-frequency current pulse signal to obtain real-time partial discharge field distribution information of the high-voltage sleeve, and determining real-time partial discharge intensity and occurrence position information of the high-voltage sleeve to serve as the real-time partial discharge characteristic information;
and comparing the real-time partial discharge intensity and the occurrence position information contained in the real-time partial discharge characteristic information with the partial discharge intensity and the occurrence position information of the future time period contained in the predicted partial discharge characteristic information, and determining the occurrence position information of the partial discharge abnormal region and the discharge intensity of the partial discharge abnormal region of the high-voltage sleeve.
A high voltage bushing partial discharge defect detection and localization system comprising:
the high-frequency current pulse signal detection module is used for periodically detecting high-frequency current of a last screen grounding loop of the high-voltage sleeve to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals;
The high-frequency current phase characteristic determining module is used for screening part of the high-frequency current pulse signals to perform phase detection so as to obtain phase characteristic information of the high-frequency current pulse signals;
The partial discharge signal characteristic determining module is used for determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information;
the partial discharge state prediction module is used for constructing a partial discharge characterization model of the high-voltage sleeve based on the partial discharge signal characteristic parameters and obtaining predicted partial discharge characteristic information of the high-voltage sleeve in a future time period based on the partial discharge characterization model;
the real-time partial discharge state determining module is used for determining real-time partial discharge characteristic information of the high-voltage sleeve based on the real-time high-frequency current pulse signal of the high-voltage sleeve;
And the partial discharge defect identification module is used for determining the existence state information of the partial discharge abnormal region of the high-voltage sleeve based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information.
Optionally, the high-frequency current pulse signal detection module is configured to perform periodic high-frequency current detection on a last screen grounding loop of the high-voltage sleeve, to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals, where the high-frequency current pulse signals include:
carrying out continuous high-frequency current detection on a last screen grounding loop of the high-voltage sleeve to obtain high-frequency current signal continuous change data of the high-voltage sleeve; analyzing the continuous change data of the high-frequency current signal, and estimating the distribution characteristic information of the appearance time of the high-frequency current component of the high-voltage sleeve;
Determining a detection period for periodically detecting the high-frequency current of the end screen grounding loop based on the distribution characteristic information of the occurrence time of the high-frequency current component, so as to detect the high-frequency current of the end screen grounding loop, and obtaining high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals;
the high-frequency current phase characteristic determining module is used for screening part of high-frequency current pulse signals to perform phase detection to obtain phase characteristic information of the high-frequency current pulse signals, and comprises the following steps:
Acquiring a high-frequency current component duty ratio in a preset frequency range of a high-frequency current pulse signal corresponding to each time interval, and judging the high-frequency current pulse signal to be an effective high-frequency current pulse signal if the high-frequency current component duty ratio exceeds a preset duty ratio threshold; performing phase detection on all the effective high-frequency current pulse signals to obtain phase characteristic information of the high-frequency current pulse signals; the phase characteristic information comprises characteristic information related to the change of the electrical parameter of the high-frequency current pulse signal along with the change of the signal phase.
Optionally, the partial discharge signal characteristic determining module is configured to determine a partial discharge signal characteristic parameter of the high-voltage sleeve based on the phase characteristic information, and includes:
The characteristic information of the electrical parameters of the high-frequency current pulse signals contained in the phase characteristic information is related with the change of the signal phase, corresponding electrical parameters are distinguished and extracted, and the characteristic parameters of the partial discharge signals of the high-voltage sleeve are determined; the partial discharge signal characteristic parameters comprise partial discharge peak values, partial discharge change rates, partial discharge factors and partial discharge interference coefficients;
The partial discharge state prediction module is configured to construct a partial discharge characterization model of the high-voltage sleeve based on the partial discharge signal feature parameter, and obtain predicted partial discharge feature information of the high-voltage sleeve in a future time period based on the partial discharge characterization model, and includes:
Performing neural network learning on the partial discharge signal characteristic parameters, constructing a partial discharge characterization model of the high-voltage sleeve, and analyzing all high-frequency current pulse signals which are not screened for phase detection by using the partial discharge characterization model to obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period; wherein the predicted partial discharge characteristic information includes partial discharge intensity and occurrence position information of the high-voltage bushing in a future period of time.
Optionally, the real-time partial discharge state determining module is configured to determine real-time partial discharge characteristic information of the high-voltage bushing based on a real-time high-frequency current pulse signal of the high-voltage bushing, and includes:
Acquiring a real-time high-frequency current pulse signal of a high-voltage circuit corresponding to the high-voltage sleeve under the condition of continuous power transmission, modeling the real-time high-frequency current pulse signal to obtain real-time partial discharge field distribution information of the high-voltage sleeve, and determining real-time partial discharge intensity and occurrence position information of the high-voltage sleeve to serve as the real-time partial discharge characteristic information;
The partial discharge defect identification module is configured to determine existence state information of a partial discharge abnormal region of the high-voltage sleeve based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information, and includes:
and comparing the real-time partial discharge intensity and the occurrence position information contained in the real-time partial discharge characteristic information with the partial discharge intensity and the occurrence position information of the future time period contained in the predicted partial discharge characteristic information, and determining the occurrence position information of the partial discharge abnormal region and the discharge intensity of the partial discharge abnormal region of the high-voltage sleeve.
Compared with the prior art, the invention has the following beneficial effects:
The method and the system for detecting and positioning the partial discharge defect of the high-voltage sleeve provided by the application are used for periodically detecting the high-frequency current of the end screen grounding loop of the high-voltage sleeve to obtain a plurality of high-frequency current pulse signals, screening part of the high-frequency current pulse signals to perform phase detection to obtain phase characteristic information, and performing state representation on the high-frequency current signals generated by the high-voltage sleeve; determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information, so as to construct a partial discharge characterization model of the high-voltage sleeve, obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period, accurately predict the partial discharge state of the high-voltage sleeve, and provide a reference for the follow-up identification of partial discharge defects; and determining real-time partial discharge characteristic information of the high-voltage sleeve based on the real-time high-frequency current pulse signal of the high-voltage sleeve, comparing the real-time partial discharge characteristic information with the predicted partial discharge characteristic information, determining the existence state information of the partial discharge abnormal region of the high-voltage sleeve, accurately detecting the partial discharge state of the high-voltage sleeve in a high-frequency current detection and model construction mode, positioning the partial discharge defect and the degree thereof in time, and effectively checking the potential safety hazard of the high-voltage sleeve.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
fig. 1 is a schematic flow chart of a method for detecting and positioning partial discharge defects of a high-voltage bushing according to the present invention.
Fig. 2 is a schematic structural diagram of a high-voltage bushing partial discharge defect detecting and positioning system according to the present invention.
Detailed Description
In order that the above objects, features and advantages of the application will be readily understood, a more particular description of the application will be rendered by reference to the appended drawings. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present application are shown in the drawings. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms "comprising" and "having" and any variations thereof herein are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, a method for detecting and positioning a partial discharge defect of a high-voltage bushing according to an embodiment of the application is shown. The method for detecting and positioning the partial discharge defect of the high-voltage sleeve comprises the following steps:
carrying out periodic high-frequency current detection on a last screen grounding loop of the high-voltage sleeve to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals; screening part of the high-frequency current pulse signals to perform phase detection to obtain phase characteristic information of the high-frequency current pulse signals;
Determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information; constructing a partial discharge characterization model of the high-voltage sleeve based on the partial discharge signal characteristic parameters, and obtaining predicted partial discharge characteristic information of the high-voltage sleeve in a future time period based on the partial discharge characterization model;
determining real-time partial discharge characteristic information of the high-voltage sleeve based on the real-time high-frequency current pulse signal of the high-voltage sleeve; and determining existence state information of the partial discharge abnormal region of the high-voltage sleeve based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information.
The method for detecting and positioning the partial discharge defect of the high-voltage sleeve has the advantages that periodic high-frequency current detection is conducted on the end screen grounding loop of the high-voltage sleeve to obtain a plurality of high-frequency current pulse signals, partial high-frequency current pulse signals are screened to conduct phase detection to obtain phase characteristic information, and change state representation is conducted on the high-frequency current signals generated by the high-voltage sleeve; determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information, so as to construct a partial discharge characterization model of the high-voltage sleeve, obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period, accurately predict the partial discharge state of the high-voltage sleeve, and provide a reference for the follow-up identification of partial discharge defects; and determining real-time partial discharge characteristic information of the high-voltage sleeve based on the real-time high-frequency current pulse signal of the high-voltage sleeve, comparing the real-time partial discharge characteristic information with the predicted partial discharge characteristic information, determining the existence state information of the partial discharge abnormal region of the high-voltage sleeve, accurately detecting the partial discharge state of the high-voltage sleeve in a high-frequency current detection and model construction mode, positioning the partial discharge defect and the degree thereof in time, and effectively checking the potential safety hazard of the high-voltage sleeve.
In another embodiment, periodic high-frequency current detection is performed on a final screen grounding loop of the high-voltage sleeve, so that high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals are obtained; screening part of the high-frequency current pulse signals for phase detection to obtain phase characteristic information of the high-frequency current pulse signals, wherein the method comprises the following steps:
Carrying out continuous high-frequency current detection on a last screen grounding loop of the high-voltage sleeve to obtain high-frequency current signal continuous change data of the high-voltage sleeve; analyzing the continuous change data of the high-frequency current signal, and estimating the distribution characteristic information of the appearance time of the high-frequency current component of the high-voltage sleeve;
Determining a detection period for periodically detecting the high-frequency current of the end screen grounding loop based on the distribution characteristic information of the occurrence time of the high-frequency current component, so as to detect the high-frequency current of the end screen grounding loop, and obtaining high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals;
Acquiring a high-frequency current component duty ratio in a preset frequency range of a high-frequency current pulse signal corresponding to each time interval, and judging the high-frequency current pulse signal to be an effective high-frequency current pulse signal if the high-frequency current component duty ratio exceeds a preset duty ratio threshold; performing phase detection on all the effective high-frequency current pulse signals to obtain phase characteristic information of the high-frequency current pulse signals; the phase characteristic information comprises characteristic information related to the change of the electrical parameter of the high-frequency current pulse signal along with the change of the signal phase.
The beneficial effects of the embodiment are that in actual high-frequency current measurement, a grounding loop is formed on the end screen of the high-voltage sleeve, and then a high-frequency current sensor (HFCT) is arranged on the grounding loop, so that the high-frequency current generated by the high-voltage sleeve due to the action of the transformer is detected by using the high-frequency current sensor. The high-frequency current generated by the high-voltage bushing can change along with the working state of the transformer, so that the high-frequency current generated by the high-frequency bushing is less in certain time periods and more in other time periods, and in order to ensure that the signal detected by the high-frequency current sensor contains enough high-frequency current components to support the phase characteristic analysis of the subsequent high-frequency current pulse signal, the detection period of the high-frequency current sensor needs to be determined first. Therefore, the end screen grounding loop of the high-voltage sleeve is subjected to continuous high-frequency current detection to obtain the high-frequency current signal continuous change data of the high-voltage sleeve, and the high-frequency current component occurrence time distribution characteristic information of the high-voltage sleeve is estimated and obtained, so that the high-frequency current component occurrence time rule of the high-voltage sleeve can be accurately analyzed. And determining a detection period for periodic high-frequency current detection of the end screen grounding loop based on the high-frequency current component occurrence time distribution characteristic information, so that enough high-frequency current components can be detected in the detection period. And then taking the detection period as a reference, carrying out periodic high-frequency current detection on the end screen grounding loop to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals, so that the reliability of the high-frequency current pulse signals can be ensured. And obtaining the high-frequency current component duty ratio of the high-frequency current pulse signal corresponding to each time interval in a preset frequency range, comparing the high-frequency current component duty ratio with a threshold value, and screening effective high-frequency current pulses from the high-frequency current component duty ratio, so that enough effective high-frequency current pulses can be used for carrying out phase detection, and the accuracy of phase characteristic information is ensured.
In another embodiment, a partial discharge signal characteristic parameter of the high voltage bushing is determined based on the phase characteristic information; based on the partial discharge signal characteristic parameters, constructing a partial discharge characterization model of the high-voltage sleeve, and based on the partial discharge characterization model, obtaining predicted partial discharge characteristic information of the high-voltage sleeve in a future time period, wherein the method comprises the following steps:
The characteristic information of the electrical parameters of the high-frequency current pulse signals contained in the phase characteristic information is related with the change of the signal phase, the corresponding electrical parameters are distinguished and extracted, and the characteristic parameters of the partial discharge signals of the high-voltage sleeve are determined; the partial discharge signal characteristic parameters comprise partial discharge peak value, partial discharge change rate, partial discharge factor and partial discharge interference coefficient;
Performing neural network learning on the characteristic parameters of the partial discharge signals, constructing a partial discharge characterization model of the high-voltage sleeve, and analyzing all high-frequency current pulse signals which are not screened for phase detection by using the partial discharge characterization model to obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period; wherein the predicted partial discharge characteristic information includes partial discharge intensity and occurrence position information of the high-voltage bushing in a future period of time.
The phase characteristic information of the high-frequency current pulse signal reflects the characteristic information related to the change of the electrical parameter of the high-frequency current pulse signal along with the signal phase, and the partial discharge signal characteristic parameter of the high-voltage sleeve is determined by distinguishing and extracting the corresponding electrical parameter of the phase characteristic information, so that the partial discharge peak value, the partial discharge change rate, the partial discharge factor and the partial discharge interference coefficient of the high-voltage sleeve in the partial discharge process can be accurately identified and extracted, and the partial discharge state of the high-voltage sleeve is comprehensively quantitatively characterized. And then, carrying out neural network learning on the characteristic parameters of the partial discharge signals, constructing a partial discharge characterization model of the high-voltage sleeve, and analyzing all high-frequency current pulse signals which are not screened for phase detection by utilizing the partial discharge characterization model to obtain the predicted partial discharge characteristic information of the high-voltage sleeve in a future time period, wherein the construction of the partial discharge characterization model belongs to a conventional technical means in the field, and the accurate prediction of the partial discharge intensity and the occurrence position information can be carried out according to the actual electrical parameters of the high-voltage sleeve by adopting the method.
In another embodiment, the periodic high-frequency current detection is performed on the end screen grounding loop of the high-voltage sleeve, so as to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals, including:
step S1, performing simulation integration according to real-time current values detected by the module in a unit time interval by using the following formula (1) to obtain high-frequency current pulse signal amplitude values of the high-voltage sleeve in the corresponding unit time interval,
（1）
In the above-mentioned formula (1),Representing the amplitude of the high-frequency current pulse signal of the high-voltage sleeve in a corresponding unit time interval; Representing the first detected module in a unit time interval A plurality of current values; representing a critical threshold of high frequency current; representing the total number of current values detected by the module in a unit time interval; Representation of if The overall output value is 1, ifThe overall output value is 0;
step S2, performing simulation integration according to the real-time current value detected by the module in the unit time interval by using the following formula (2) to obtain the signal width of the high-frequency current pulse signal of the high-voltage bushing in the corresponding unit time interval,
（2）
In the above-mentioned formula (2),Representing the signal width of the high-frequency current pulse signal of the high-voltage bushing in the corresponding unit time interval; A frequency value representing a real-time current value detected by the module within a unit time interval;
Step S3, dividing the signal width of the high-frequency current pulse signal of the high-voltage bushing in the corresponding unit time interval according to the real-time current value detected by the module in the unit time interval by using the following formula (3) to obtain a plurality of high-frequency current pulse signals,
（3）
In the above-mentioned formula (3),Representing the number of the plurality of high-frequency current pulse signals obtained by segmentation; The overall output value is 1 if the expression in the brackets is satisfied, and is 0 if the expression in the brackets is not satisfied.
The beneficial effects of the embodiment are that by utilizing the formula (1), the high-frequency current pulse signal amplitude of the high-voltage sleeve in the corresponding unit time interval is obtained by performing simulation integration according to the real-time current value detected by the module in the unit time interval, so that the floating irregular high-frequency current state is converted into a regular high-frequency current pulse signal, and the subsequent control analysis is convenient; then, by using the formula (2), performing simulation integration according to the real-time current value detected by the module in the unit time interval to obtain the signal width of the high-frequency current pulse signal of the high-voltage sleeve in the corresponding unit time interval, so that the integration of the signal width into one interval is convenient for converting the floating irregular high-frequency current state into a regular high-frequency current pulse signal; and then, the formula (3) is utilized to divide the signal width of the high-frequency current pulse signal of the high-voltage sleeve in the corresponding unit time interval according to the real-time current value detected by the module in the unit time interval, so as to obtain a plurality of high-frequency current pulse signals, and the high-frequency current state with irregular floating can be more truly restored by utilizing the plurality of high-frequency current pulse signals, so that the foundation is laid for the phase characteristic analysis of the subsequent high-frequency current pulse signals, and the accuracy of the system is ensured.
In another embodiment, real-time partial discharge characteristic information of the high-voltage bushing is determined based on the real-time high-frequency current pulse signal of the high-voltage bushing; determining partial discharge abnormal region existence state information of the high-voltage bushing based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information, including:
Acquiring a real-time high-frequency current pulse signal of a high-voltage circuit corresponding to the high-voltage sleeve under the condition of continuous power transmission, modeling the real-time high-frequency current pulse signal to obtain real-time partial discharge field distribution information of the high-voltage sleeve, thereby determining real-time partial discharge intensity and occurrence position information of the high-voltage sleeve, and taking the real-time partial discharge intensity and occurrence position information as real-time partial discharge characteristic information;
And comparing the real-time partial discharge intensity and the generation position information contained in the real-time partial discharge characteristic information with the partial discharge intensity and the generation position information of the future time period contained in the predicted partial discharge characteristic information, and determining the generation position information of the partial discharge abnormal region and the discharge intensity of the partial discharge abnormal region of the high-voltage sleeve.
The method has the beneficial effects that the real-time high-frequency current pulse signals of the high-voltage circuit corresponding to the high-voltage sleeve under the condition of continuous power transmission are obtained, the real-time high-frequency current pulse signals are subjected to modeling processing, and the real-time local discharge field distribution information of the high-voltage sleeve is obtained, so that the actual local discharge intensity and the occurrence position of the high-voltage sleeve can be accurately calculated. And comparing the real-time partial discharge intensity and the occurrence position information contained in the real-time partial discharge characteristic information with the partial discharge intensity and the occurrence position information of the future time period contained in the predicted partial discharge characteristic information to obtain the difference between the partial discharge intensity and the occurrence position of the partial discharge, and carrying out statistical analysis on the difference to determine the occurrence position information of the partial discharge abnormal region and the discharge intensity of the partial discharge abnormal region of the high-voltage sleeve, so that the partial discharge defect formed by overlarge partial discharge intensity of the high-voltage sleeve can be accurately positioned.
Referring to fig. 2, a partial discharge defect detecting and positioning system for a high voltage bushing according to an embodiment of the application is shown. The high-voltage bushing partial discharge defect detection and positioning system comprises:
the high-frequency current pulse signal detection module is used for periodically detecting high-frequency current of a last screen grounding loop of the high-voltage sleeve to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals;
The high-frequency current phase characteristic determining module is used for screening part of the high-frequency current pulse signals to perform phase detection so as to obtain phase characteristic information of the high-frequency current pulse signals;
the partial discharge signal characteristic determining module is used for determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information;
the partial discharge state prediction module is used for constructing a partial discharge characterization model of the high-voltage sleeve based on the partial discharge signal characteristic parameters and obtaining predicted partial discharge characteristic information of the high-voltage sleeve in a future time period based on the partial discharge characterization model;
the real-time partial discharge state determining module is used for determining real-time partial discharge characteristic information of the high-voltage sleeve based on the real-time high-frequency current pulse signal of the high-voltage sleeve;
and the partial discharge defect identification module is used for determining the existence state information of the partial discharge abnormal region of the high-voltage sleeve based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information.
The method has the beneficial effects that the partial discharge defect detection and positioning system of the high-voltage sleeve performs periodic high-frequency current detection on the end screen grounding loop of the high-voltage sleeve to obtain a plurality of high-frequency current pulse signals, screens part of the high-frequency current pulse signals to perform phase detection to obtain phase characteristic information, and performs change state representation on the high-frequency current signals generated by the high-voltage sleeve; determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information, so as to construct a partial discharge characterization model of the high-voltage sleeve, obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period, accurately predict the partial discharge state of the high-voltage sleeve, and provide a reference for the follow-up identification of partial discharge defects; and determining real-time partial discharge characteristic information of the high-voltage sleeve based on the real-time high-frequency current pulse signal of the high-voltage sleeve, comparing the real-time partial discharge characteristic information with the predicted partial discharge characteristic information, determining the existence state information of the partial discharge abnormal region of the high-voltage sleeve, accurately detecting the partial discharge state of the high-voltage sleeve in a high-frequency current detection and model construction mode, positioning the partial discharge defect and the degree thereof in time, and effectively checking the potential safety hazard of the high-voltage sleeve.
In another embodiment, the high-frequency current pulse signal detection module is configured to perform periodic high-frequency current detection on a last screen grounding loop of a high-voltage sleeve, to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals, where the high-frequency current pulse signals include:
Carrying out continuous high-frequency current detection on a last screen grounding loop of the high-voltage sleeve to obtain high-frequency current signal continuous change data of the high-voltage sleeve; analyzing the continuous change data of the high-frequency current signal, and estimating the distribution characteristic information of the appearance time of the high-frequency current component of the high-voltage sleeve;
Determining a detection period for periodically detecting the high-frequency current of the end screen grounding loop based on the distribution characteristic information of the occurrence time of the high-frequency current component, so as to detect the high-frequency current of the end screen grounding loop, and obtaining high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals;
the high-frequency current phase characteristic determining module is used for screening part of high-frequency current pulse signals to perform phase detection to obtain phase characteristic information of the high-frequency current pulse signals, and comprises the following steps:
Acquiring a high-frequency current component duty ratio in a preset frequency range of a high-frequency current pulse signal corresponding to each time interval, and judging the high-frequency current pulse signal to be an effective high-frequency current pulse signal if the high-frequency current component duty ratio exceeds a preset duty ratio threshold; performing phase detection on all the effective high-frequency current pulse signals to obtain phase characteristic information of the high-frequency current pulse signals; the phase characteristic information comprises characteristic information related to the change of the electrical parameter of the high-frequency current pulse signal along with the change of the signal phase.
The beneficial effects of the embodiment are that in actual high-frequency current measurement, a grounding loop is formed on the end screen of the high-voltage sleeve, and then a high-frequency current sensor (HFCT) is arranged on the grounding loop, so that the high-frequency current generated by the high-voltage sleeve due to the action of the transformer is detected by using the high-frequency current sensor. The high-frequency current generated by the high-voltage bushing can change along with the working state of the transformer, so that the high-frequency current generated by the high-frequency bushing is less in certain time periods and more in other time periods, and in order to ensure that the signal detected by the high-frequency current sensor contains enough high-frequency current components to support the phase characteristic analysis of the subsequent high-frequency current pulse signal, the detection period of the high-frequency current sensor needs to be determined first. Therefore, the end screen grounding loop of the high-voltage sleeve is subjected to continuous high-frequency current detection to obtain the high-frequency current signal continuous change data of the high-voltage sleeve, and the high-frequency current component occurrence time distribution characteristic information of the high-voltage sleeve is estimated and obtained, so that the high-frequency current component occurrence time rule of the high-voltage sleeve can be accurately analyzed. And determining a detection period for periodic high-frequency current detection of the end screen grounding loop based on the high-frequency current component occurrence time distribution characteristic information, so that enough high-frequency current components can be detected in the detection period. And then taking the detection period as a reference, carrying out periodic high-frequency current detection on the end screen grounding loop to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals, so that the reliability of the high-frequency current pulse signals can be ensured. And obtaining the high-frequency current component duty ratio of the high-frequency current pulse signal corresponding to each time interval in a preset frequency range, comparing the high-frequency current component duty ratio with a threshold value, and screening effective high-frequency current pulses from the high-frequency current component duty ratio, so that enough effective high-frequency current pulses can be used for carrying out phase detection, and the accuracy of phase characteristic information is ensured.
In another embodiment, the partial discharge signal characteristic determining module is configured to determine a partial discharge signal characteristic parameter of the high voltage bushing based on the phase characteristic information, including:
The characteristic information of the electrical parameters of the high-frequency current pulse signals contained in the phase characteristic information is related with the change of the signal phase, the corresponding electrical parameters are distinguished and extracted, and the characteristic parameters of the partial discharge signals of the high-voltage sleeve are determined; the partial discharge signal characteristic parameters comprise partial discharge peak value, partial discharge change rate, partial discharge factor and partial discharge interference coefficient;
The partial discharge state prediction module is used for constructing a partial discharge characterization model of the high-voltage sleeve based on the partial discharge signal characteristic parameters, obtaining predicted partial discharge characteristic information of the high-voltage sleeve in a future time period based on the partial discharge characterization model, and comprises the following steps:
Performing neural network learning on the characteristic parameters of the partial discharge signals, constructing a partial discharge characterization model of the high-voltage sleeve, and analyzing all high-frequency current pulse signals which are not screened for phase detection by using the partial discharge characterization model to obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period; wherein the predicted partial discharge characteristic information includes partial discharge intensity and occurrence position information of the high-voltage bushing in a future period of time.
The phase characteristic information of the high-frequency current pulse signal reflects the characteristic information related to the change of the electrical parameter of the high-frequency current pulse signal along with the signal phase, and the partial discharge signal characteristic parameter of the high-voltage sleeve is determined by distinguishing and extracting the corresponding electrical parameter of the phase characteristic information, so that the partial discharge peak value, the partial discharge change rate, the partial discharge factor and the partial discharge interference coefficient of the high-voltage sleeve in the partial discharge process can be accurately identified and extracted, and the partial discharge state of the high-voltage sleeve is comprehensively quantitatively characterized. And then, carrying out neural network learning on the characteristic parameters of the partial discharge signals, constructing a partial discharge characterization model of the high-voltage sleeve, and analyzing all high-frequency current pulse signals which are not screened for phase detection by utilizing the partial discharge characterization model to obtain the predicted partial discharge characteristic information of the high-voltage sleeve in a future time period, wherein the construction of the partial discharge characterization model belongs to a conventional technical means in the field, and the accurate prediction of the partial discharge intensity and the occurrence position information can be carried out according to the actual electrical parameters of the high-voltage sleeve by adopting the method.
In another embodiment, the real-time partial discharge state determining module is configured to determine real-time partial discharge characteristic information of the high-voltage bushing based on a real-time high-frequency current pulse signal of the high-voltage bushing, and includes:
Acquiring a real-time high-frequency current pulse signal of a high-voltage circuit corresponding to the high-voltage sleeve under the condition of continuous power transmission, modeling the real-time high-frequency current pulse signal to obtain real-time partial discharge field distribution information of the high-voltage sleeve, thereby determining real-time partial discharge intensity and occurrence position information of the high-voltage sleeve, and taking the real-time partial discharge intensity and occurrence position information as real-time partial discharge characteristic information;
the partial discharge defect recognition module is used for determining existence state information of a partial discharge abnormal region of the high-voltage sleeve based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information, and comprises the following steps:
And comparing the real-time partial discharge intensity and the generation position information contained in the real-time partial discharge characteristic information with the partial discharge intensity and the generation position information of the future time period contained in the predicted partial discharge characteristic information, and determining the generation position information of the partial discharge abnormal region and the discharge intensity of the partial discharge abnormal region of the high-voltage sleeve.
The method has the beneficial effects that the real-time high-frequency current pulse signals of the high-voltage circuit corresponding to the high-voltage sleeve under the condition of continuous power transmission are obtained, the real-time high-frequency current pulse signals are subjected to modeling processing, and the real-time local discharge field distribution information of the high-voltage sleeve is obtained, so that the actual local discharge intensity and the occurrence position of the high-voltage sleeve can be accurately calculated. And comparing the real-time partial discharge intensity and the occurrence position information contained in the real-time partial discharge characteristic information with the partial discharge intensity and the occurrence position information of the future time period contained in the predicted partial discharge characteristic information to obtain the difference between the partial discharge intensity and the occurrence position of the partial discharge, and carrying out statistical analysis on the difference to determine the occurrence position information of the partial discharge abnormal region and the discharge intensity of the partial discharge abnormal region of the high-voltage sleeve, so that the partial discharge defect formed by overlarge partial discharge intensity of the high-voltage sleeve can be accurately positioned.
In general, the method and the system for detecting and positioning the partial discharge defect of the high-voltage sleeve periodically detect high-frequency current in the end screen grounding loop of the high-voltage sleeve to obtain a plurality of high-frequency current pulse signals, screen part of the high-frequency current pulse signals for phase detection to obtain phase characteristic information, and characterize the change state of the high-frequency current signals generated by the high-voltage sleeve; determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information, so as to construct a partial discharge characterization model of the high-voltage sleeve, obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period, accurately predict the partial discharge state of the high-voltage sleeve, and provide a reference for the follow-up identification of partial discharge defects; and determining real-time partial discharge characteristic information of the high-voltage sleeve based on the real-time high-frequency current pulse signal of the high-voltage sleeve, comparing the real-time partial discharge characteristic information with the predicted partial discharge characteristic information, determining the existence state information of the partial discharge abnormal region of the high-voltage sleeve, accurately detecting the partial discharge state of the high-voltage sleeve in a high-frequency current detection and model construction mode, positioning the partial discharge defect and the degree thereof in time, and effectively checking the potential safety hazard of the high-voltage sleeve.
The foregoing is merely one specific embodiment of the invention, and any modifications made in light of the above teachings are intended to fall within the scope of the invention.

Claims (3)

1. The method for detecting and positioning the partial discharge defect of the high-voltage sleeve is characterized by comprising the following steps of:
Periodically detecting high-frequency current in a final screen grounding loop of the high-voltage sleeve to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals; screening part of the high-frequency current pulse signals to perform phase detection to obtain phase characteristic information of the high-frequency current pulse signals;
determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information; constructing a partial discharge characterization model of the high-voltage sleeve based on the partial discharge signal characteristic parameters, and obtaining predicted partial discharge characteristic information of the high-voltage sleeve in a future time period based on the partial discharge characterization model;
Determining real-time partial discharge characteristic information of the high-voltage sleeve based on a real-time high-frequency current pulse signal of the high-voltage sleeve; determining existence state information of a partial discharge abnormal region of the high-voltage sleeve based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information; the method comprises the steps of periodically detecting high-frequency current in a final screen grounding loop of a high-voltage sleeve, and obtaining high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals; screening part of the high-frequency current pulse signals for phase detection to obtain phase characteristic information of the high-frequency current pulse signals, wherein the method comprises the following steps:
carrying out continuous high-frequency current detection on a last screen grounding loop of the high-voltage sleeve to obtain high-frequency current signal continuous change data of the high-voltage sleeve; analyzing the continuous change data of the high-frequency current signal, and estimating the distribution characteristic information of the appearance time of the high-frequency current component of the high-voltage sleeve;
Determining a detection period for periodically detecting the high-frequency current of the end screen grounding loop based on the distribution characteristic information of the occurrence time of the high-frequency current component, so as to detect the high-frequency current of the end screen grounding loop, and obtaining high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals;
Acquiring a high-frequency current component duty ratio in a preset frequency range of a high-frequency current pulse signal corresponding to each time interval, and judging the high-frequency current pulse signal to be an effective high-frequency current pulse signal if the high-frequency current component duty ratio exceeds a preset duty ratio threshold; performing phase detection on all the effective high-frequency current pulse signals to obtain phase characteristic information of the high-frequency current pulse signals; the phase characteristic information comprises characteristic information related to the change of the electrical parameter of the high-frequency current pulse signal along with the change of the signal phase;
Wherein, based on the phase characteristic information, determining partial discharge signal characteristic parameters of the high-voltage sleeve; based on the partial discharge signal characteristic parameters, constructing a partial discharge characterization model of the high-voltage sleeve, and based on the partial discharge characterization model, obtaining predicted partial discharge characteristic information of the high-voltage sleeve in a future time period, wherein the method comprises the following steps:
The characteristic information of the electrical parameters of the high-frequency current pulse signals contained in the phase characteristic information is related with the change of the signal phase, corresponding electrical parameters are distinguished and extracted, and the characteristic parameters of the partial discharge signals of the high-voltage sleeve are determined; the partial discharge signal characteristic parameters comprise partial discharge peak values, partial discharge change rates, partial discharge factors and partial discharge interference coefficients;
Performing neural network learning on the partial discharge signal characteristic parameters, constructing a partial discharge characterization model of the high-voltage sleeve, and analyzing all high-frequency current pulse signals which are not screened for phase detection by using the partial discharge characterization model to obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period; wherein the predicted partial discharge characteristic information comprises partial discharge intensity and occurrence position information of the high-voltage sleeve in a future time period;
the method comprises the steps of determining real-time partial discharge characteristic information of the high-voltage sleeve based on a real-time high-frequency current pulse signal of the high-voltage sleeve; determining partial discharge abnormal region existence state information of the high-voltage sleeve based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information, including:
Acquiring a real-time high-frequency current pulse signal of a high-voltage circuit corresponding to the high-voltage sleeve under the condition of continuous power transmission, modeling the real-time high-frequency current pulse signal to obtain real-time partial discharge field distribution information of the high-voltage sleeve, and determining real-time partial discharge intensity and occurrence position information of the high-voltage sleeve to serve as the real-time partial discharge characteristic information;
and comparing the real-time partial discharge intensity and the occurrence position information contained in the real-time partial discharge characteristic information with the partial discharge intensity and the occurrence position information of the future time period contained in the predicted partial discharge characteristic information, and determining the occurrence position information of the partial discharge abnormal region and the discharge intensity of the partial discharge abnormal region of the high-voltage sleeve.
2. The method for detecting and locating partial discharge defects of a high-voltage bushing according to claim 1, wherein:
The method for detecting the high-frequency current periodically carries out the detection of the high-frequency current on the end screen grounding loop of the high-voltage sleeve to obtain the high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals respectively, and comprises the following steps:
Step S1, performing simulation integration according to real-time current values detected by the modules in unit time intervals by using the following formula (1) to obtain high-frequency current pulse signal amplitude values of the high-voltage sleeve in the corresponding unit time intervals,
In the above formula (1), E represents a high-frequency current pulse signal amplitude of the high-voltage bushing in a corresponding unit time interval; i (a) represents an a-th current value detected by the module in a unit time interval; i 0 denotes a critical threshold of the high-frequency current; n represents the total number of current values detected by the module in a unit time interval; b [ I (a) -I 0, 0] represents that the overall output value is 1 if I (a) -I 0 is not less than 0, and is 0 if I (a) -I 0 is not less than 0;
Step S2, performing simulation integration according to the real-time current value detected by the module in the unit time interval by using the following formula (2) to obtain the signal width of the high-frequency current pulse signal of the high-voltage sleeve in the corresponding unit time interval,
In the above formula (2), T represents a signal width of the high-frequency current pulse signal of the high-voltage bushing in a corresponding unit time interval; f represents a frequency value of the module detecting the real-time current value in the unit time interval;
Step S3, dividing the signal width of the high-frequency current pulse signal of the high-voltage bushing in the corresponding unit time interval according to the real-time current value detected by the module in the unit time interval by using the following formula (3) to obtain a plurality of high-frequency current pulse signals,
In the above formula (3), N represents the number of divided high-frequency current pulse signals;
F { } indicates that the overall output value is 1 if the expression in the brackets is established, and is 0 if the expression in the brackets is not established.
3. A high voltage bushing partial discharge defect detection and localization system, comprising:
the high-frequency current pulse signal detection module is used for periodically detecting high-frequency current of a last screen grounding loop of the high-voltage sleeve to obtain high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals;
The high-frequency current phase characteristic determining module is used for screening part of the high-frequency current pulse signals to perform phase detection so as to obtain phase characteristic information of the high-frequency current pulse signals;
The partial discharge signal characteristic determining module is used for determining partial discharge signal characteristic parameters of the high-voltage sleeve based on the phase characteristic information;
the partial discharge state prediction module is used for constructing a partial discharge characterization model of the high-voltage sleeve based on the partial discharge signal characteristic parameters and obtaining predicted partial discharge characteristic information of the high-voltage sleeve in a future time period based on the partial discharge characterization model;
the real-time partial discharge state determining module is used for determining real-time partial discharge characteristic information of the high-voltage sleeve based on the real-time high-frequency current pulse signal of the high-voltage sleeve;
The partial discharge defect identification module is used for determining the existence state information of the partial discharge abnormal region of the high-voltage sleeve based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information;
The high-frequency current pulse signal detection module is used for periodically detecting high-frequency current of a last screen grounding loop of the high-voltage sleeve to obtain high-frequency current pulse signals respectively corresponding to the high-voltage sleeve in a plurality of time intervals, and comprises the following steps:
carrying out continuous high-frequency current detection on a last screen grounding loop of the high-voltage sleeve to obtain high-frequency current signal continuous change data of the high-voltage sleeve; analyzing the continuous change data of the high-frequency current signal, and estimating the distribution characteristic information of the appearance time of the high-frequency current component of the high-voltage sleeve;
Determining a detection period for periodically detecting the high-frequency current of the end screen grounding loop based on the distribution characteristic information of the occurrence time of the high-frequency current component, so as to detect the high-frequency current of the end screen grounding loop, and obtaining high-frequency current pulse signals corresponding to the high-voltage sleeve in a plurality of time intervals;
the high-frequency current phase characteristic determining module is used for screening part of high-frequency current pulse signals to perform phase detection to obtain phase characteristic information of the high-frequency current pulse signals, and comprises the following steps:
Acquiring a high-frequency current component duty ratio in a preset frequency range of a high-frequency current pulse signal corresponding to each time interval, and judging the high-frequency current pulse signal to be an effective high-frequency current pulse signal if the high-frequency current component duty ratio exceeds a preset duty ratio threshold; performing phase detection on all the effective high-frequency current pulse signals to obtain phase characteristic information of the high-frequency current pulse signals; the phase characteristic information comprises characteristic information related to the change of the electrical parameter of the high-frequency current pulse signal along with the change of the signal phase;
The partial discharge signal characteristic determining module is configured to determine a partial discharge signal characteristic parameter of the high-voltage sleeve based on the phase characteristic information, and includes:
The characteristic information of the electrical parameters of the high-frequency current pulse signals contained in the phase characteristic information is related with the change of the signal phase, corresponding electrical parameters are distinguished and extracted, and the characteristic parameters of the partial discharge signals of the high-voltage sleeve are determined; the partial discharge signal characteristic parameters comprise partial discharge peak values, partial discharge change rates, partial discharge factors and partial discharge interference coefficients;
The partial discharge state prediction module is configured to construct a partial discharge characterization model of the high-voltage sleeve based on the partial discharge signal feature parameter, and obtain predicted partial discharge feature information of the high-voltage sleeve in a future time period based on the partial discharge characterization model, and includes:
Performing neural network learning on the partial discharge signal characteristic parameters, constructing a partial discharge characterization model of the high-voltage sleeve, and analyzing all high-frequency current pulse signals which are not screened for phase detection by using the partial discharge characterization model to obtain predicted partial discharge characteristic information of the high-voltage sleeve in a future time period; wherein the predicted partial discharge characteristic information comprises partial discharge intensity and occurrence position information of the high-voltage sleeve in a future time period;
The real-time partial discharge state determining module is used for determining real-time partial discharge characteristic information of the high-voltage sleeve based on a real-time high-frequency current pulse signal of the high-voltage sleeve, and comprises the following steps: acquiring a real-time high-frequency current pulse signal of a high-voltage circuit corresponding to the high-voltage sleeve under the condition of continuous power transmission, modeling the real-time high-frequency current pulse signal to obtain real-time partial discharge field distribution information of the high-voltage sleeve, and determining real-time partial discharge intensity and occurrence position information of the high-voltage sleeve to serve as the real-time partial discharge characteristic information;
The partial discharge defect identification module is configured to determine existence state information of a partial discharge abnormal region of the high-voltage sleeve based on the real-time partial discharge characteristic information and the predicted partial discharge characteristic information, and includes:
and comparing the real-time partial discharge intensity and the occurrence position information contained in the real-time partial discharge characteristic information with the partial discharge intensity and the occurrence position information of the future time period contained in the predicted partial discharge characteristic information, and determining the occurrence position information of the partial discharge abnormal region and the discharge intensity of the partial discharge abnormal region of the high-voltage sleeve.
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