CN111044859A - GIS equipment fault processing method, storage medium and equipment - Google Patents
GIS equipment fault processing method, storage medium and equipment Download PDFInfo
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- CN111044859A CN111044859A CN201911312918.9A CN201911312918A CN111044859A CN 111044859 A CN111044859 A CN 111044859A CN 201911312918 A CN201911312918 A CN 201911312918A CN 111044859 A CN111044859 A CN 111044859A
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- 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
- G01R31/1227—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 of components, parts or materials
- G01R31/1254—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 of components, parts or materials of gas-insulated power appliances or vacuum gaps
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- G01R31/1227—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 of components, parts or materials
- G01R31/1263—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 of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1281—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 of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of liquids or gases
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Abstract
The application discloses a GIS equipment fault processing method, a storage medium and equipment. The method comprises the following steps: collecting SF6 gas samples in a target gas chamber of GIS equipment, and qualitatively and quantitatively determining the gas content of each SF6 decomposition product in the SF6 gas samples by using a gas chromatograph; determining whether the operation state of the insulation system of the GIS equipment is abnormal or not according to the gas content of each SF6 decomposition product; and determining whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the SF6 decomposers. By the aid of the method, the technical problem that the method for detecting the GIS equipment fault in the prior art does not meet user requirements at present is solved.
Description
Technical Field
The application relates to the field of GIS equipment fault detection, in particular to a GIS equipment fault processing method, a storage medium and equipment.
Background
Gas Insulated metal enclosed switches (GIS) are important devices constituting an electric power system, in which a circuit breaker, a ground switch, a disconnector, a lightning arrester, a transformer, a bus bar, an outlet terminal, and the like are enclosed in a metal case filled with a Gas of a specific pressure SF 6. Once the GIS equipment has insulation fault, huge loss can be caused to the equipment and the power grid. Therefore, accurate judgment and timely elimination of the state and the fault type of the GIS insulation system are important measures for preventing insulation faults and ensuring safe and reliable operation of GIS equipment.
However, the method for detecting the GIS equipment fault in the prior art does not meet the user requirements at present.
Disclosure of Invention
The application provides a GIS equipment fault processing method, a storage medium and equipment, which are used for solving the problem that the existing method for detecting the GIS equipment fault does not meet the user requirement.
According to one aspect of the application, a method for processing faults of GIS equipment is provided. The method comprises the following steps: collecting SF6 gas samples in a target gas chamber of GIS equipment, and qualitatively and quantitatively determining the gas content of each SF6 decomposition product in the SF6 gas samples by using a gas chromatograph; determining whether the operation state of the insulation system of the GIS equipment is abnormal or not according to the gas content of each SF6 decomposition product; and determining whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the SF6 decomposers.
Optionally, when it is determined that the abnormal state of the insulation system of the GIS device is a partial discharge fault, the method further includes: and establishing a fault diagnosis model by adopting a self-adaptive neural fuzzy inference system, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model.
Optionally, the gas content of each SF6 decomposition product includes at least any one of: SO2, H2S, SO2F2, SOF2, SOF4, S2OF10, CF4 and CO2, wherein the unit is uL/L.
Optionally, before depending on the mutual ratio between the gas contents of the respective SF6 decomposers, the method further comprises: determining a preset mutual ratio among the gas contents of the SF6 decomposers, wherein the preset mutual ratio is a boundary value of different types of fault judgment of the insulation system; determining whether the abnormal state of the insulation system of the GIS device is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the respective SF6 decomposers, including: comparing the mutual ratio of the gas contents of the SF6 decomposers with the preset mutual ratio to determine whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault; wherein the preset mutual ratio between the gas contents of the respective SF6 decomposition products comprises at least any one of the following: c (SO2)/c (H2S), c (SOF2)/c (S2OF10), c (SO2)/c (SOF2), c (SO2F2+ SOF4)/c (SOF2), c (SO2F2)/c (SOF 2).
Optionally, in a case where the determined gas content of each SF6 decomposition product includes an H2S gas content and an SO2 gas content, determining whether an abnormality occurs in an operation state of an insulation system of the GIS device according to the gas content of each SF6 decomposition product includes: under the condition that the H2S gas content and the SO2 gas content are judged to meet the conditions that c (H2S) is less than or equal to 2 and c (SO2) is less than or equal to 2, the operation state of an insulation system of the GIS equipment is determined to be normal, and the process is ended; and under the condition that the H2S gas content and the SO2 gas content are judged to meet the conditions of c (H2S) > 5 or c (SO2) > 5, determining that the operation state of the insulation system of the GIS equipment is abnormal, and continuously executing the step of determining whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the SF6 decomposers.
Optionally, in a case where the determined gas content of each SF6 decomposition product includes an SO2 gas content, an SOF2 gas content, an SOF4 gas content, and an SO2F2 gas content, determining whether the abnormal state occurring in the insulation system of the GIS device is a thermal fault or an electrical discharge fault according to a mutual ratio between the gas contents of the respective SF6 decomposition products includes: determining that the abnormal state of the insulation system of the GIS device is a thermal fault when judging that the mutual ratio of the gas contents of the respective SF6 decomposed products meets the conditions of c (SO2)/c (SOF2) >0.1 and c (SO2F2+ SOF4)/c (SOF2) < 0.1; and determining that the abnormal state of the insulation system of the GIS equipment is an electrical discharge fault when the mutual ratio of the gas contents of the various SF6 decomposition products is judged to meet the condition of c (SO2F2)/c (SOF2) > 0.3.
Optionally, after determining that the abnormal state occurring in the insulation system OF the GIS device is a discharge fault, and in a case where the determined gas content OF each SF6 decomposition product includes an SO2 gas content, an H2S gas content, an SOF2 gas content, and an S2OF10) gas content, the method further includes: under the condition that the mutual ratio of the gas contents of the SF6 decomposers is judged to meet the condition that c (SO2)/c (H2S) is more than or equal to 1 and less than or equal to 3, determining that the discharge fault occurring in the insulation system of the GIS equipment is an arc high-energy discharge fault; under the condition that the mutual ratio of the gas contents of the SF6 decomposers is judged to meet the condition that c (SO2)/c (H2S) is more than or equal to 2 and less than or equal to 5, determining that the discharging fault occurring in the insulation system of the GIS equipment is an arc low-energy discharging fault; and under the condition that the mutual ratio OF the gas contents OF the SF6 decomposers is judged to meet the condition that 8 is less than or equal to SOF2/S2OF10 is less than or equal to 25, determining that the discharging fault OF the insulation system OF the GIS equipment is partial discharge.
Optionally, the establishing a fault diagnosis model by using a self-adaptive neuro-fuzzy inference system, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model includes: establishing a partial discharge sample data set according to a preset fault type, wherein the preset fault type comprises at least any one of the following: high voltage conductor overhang defects (N-type insulation defects), free metal particle defects (P-type insulation defects), insulator metal contaminant defects (M-type insulation defects), and insulator outer air gap defects (G-type insulation defects); and (3) establishing a fault diagnosis model based on an adaptive neural fuzzy inference system based on a partial discharge sample data set by using SF6 gas decomposition component analysis ratio codes, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model.
According to another aspect of the present application, there is provided a storage medium including a stored program, wherein the program executes the method for processing a failure of a GIS device according to any one of the above.
According to another aspect of the present application, a processor is provided, the processor is configured to execute a program, where the program executes to perform the fault handling method for the GIS device according to any one of the above.
Through the application, the following steps are adopted: collecting SF6 gas samples in a target gas chamber of GIS equipment, and qualitatively and quantitatively determining the gas content of each SF6 decomposition product in the SF6 gas samples by using a gas chromatograph; determining whether the operation state of the insulation system of the GIS equipment is abnormal or not according to the gas content of each SF6 decomposition product; and determining whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the SF6 decomposers, so that the problem that the fault of the GIS equipment is not met by the method for detecting the fault of the GIS equipment in the prior art is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
FIG. 1 is a first flowchart of a method for processing a fault of a GIS device;
FIG. 2 is a flow chart II of a method for processing a fault of a GIS device; and
FIG. 3 is a schematic diagram of the structure of ANFIS.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that: the GIS equipment bears the stress under the coupling of a plurality of physical fields such as an electric field, a magnetic field, a temperature field, mechanical stress, an airflow field and the like in the operation process; when the external stress is too large, the SF6 gas is inevitably decomposed under the action of an electric field and a temperature field, and multiple-component mixed gas with different types and different contents is generated. The applicant can know through research that: different types of faults can cause the SF6 decomposition process to be different from the types and volume fractions of gas decomposition products, so that the operation state and the potential fault types of the GIS equipment can be determined through SF6 gas decomposition component analysis.
Further, a plurality of different judgment criteria and diagnosis methods exist currently for the GIS equipment insulation system operation state and potential fault type judgment method. For example, methods for detecting partial discharge of SF6 electrical equipment include a pulse current method, an ultrasonic method, an ultrahigh frequency method, and an SF6 decomposition component analysis method, but each method has its own application range and disadvantages. However, a complete and unified method for determining the state of the GIS equipment insulation system and diagnosing the fault type is lacked at present; meanwhile, although the SF6 decomposition component analysis method can utilize the content and the ratio of partial stable decomposers to obtain certain results when the partial discharge fault type is determined, the problems of absolute ratio coding and low diagnosis precision still exist.
Obviously, many existing technical solutions do not meet the user requirements.
Aiming at the technical analysis, according to the embodiment of the application, a fault processing method of GIS equipment is provided.
Fig. 1 is a flowchart of a method for processing a failure of a GIS device according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
step S101, collecting SF6 gas samples in a target gas chamber of GIS equipment, and qualitatively and quantitatively determining the gas content of each SF6 decomposition product in the SF6 gas samples by using a gas chromatograph.
Wherein the gas content of each SF6 decomposition product includes at least any one of: SO2, H2S, SO2F2, SOF2, SOF4, S2OF10, CF4 and CO2, wherein the unit is uL/L.
And step S102, determining whether the operation state of the insulation system of the GIS equipment is abnormal or not according to the gas content of each SF6 decomposition product.
Step S103, determining whether the abnormal state of the insulation system of the GIS device is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the SF6 decomposers.
According to the fault processing method of the GIS equipment provided by the embodiment of the application, by collecting SF6 gas samples in a target gas chamber of the GIS equipment, the gas content of each SF6 decomposition product in the SF6 gas samples is determined qualitatively and quantitatively by using a gas chromatograph; determining whether the operation state of the insulation system of the GIS equipment is abnormal or not according to the gas content of each SF6 decomposition product; and determining whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the SF6 decomposers, so that the problem that the fault of the GIS equipment is not met by the method for detecting the fault of the GIS equipment in the prior art is solved.
In addition, in an optional example, in a case where it is determined that the abnormal state occurring in the insulation system of the GIS device is a partial discharge fault, the method further includes: and establishing a fault diagnosis model by adopting a self-adaptive neural fuzzy inference system, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model.
Further, establishing a fault diagnosis model by using a self-adaptive neural fuzzy inference system, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model, wherein the method comprises the following steps: establishing a partial discharge sample data set according to a preset fault type, wherein the preset fault type comprises at least any one of the following: high voltage conductor overhang defects (N-type insulation defects), free metal particle defects (P-type insulation defects), insulator metal contaminant defects (M-type insulation defects), and insulator outer air gap defects (G-type insulation defects); and (3) establishing a fault diagnosis model based on an adaptive neural fuzzy inference system based on a partial discharge sample data set by using SF6 gas decomposition component analysis ratio codes, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model.
Furthermore, the invention has the following advantages: the fault type of the GIS equipment insulation system is comprehensively analyzed and determined, thermal faults and discharge faults are comprehensively considered, and particularly, the specific fault type under the partial discharge condition is determined; the self-adaptive neural fuzzy inference system is adopted for modeling, so that the defects of absolute boundary and low diagnosis accuracy existing in the ratio coding diagnosis process can be avoided, the fault diagnosis process is more visual, the diagnosis result is more precise and accurate, the overhaul pertinence can be effectively improved, the power failure time of GIS equipment is shortened, and the asset utilization rate of power equipment is improved.
Furthermore, in an alternative example, before depending on the mutual ratio between the gas contents of the respective SF6 decomposers, the method further comprises: determining a preset mutual ratio among the gas contents of the SF6 decomposers, wherein the preset mutual ratio is a boundary value of different types of fault judgment of the insulation system; determining whether the abnormal state of the insulation system of the GIS device is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the respective SF6 decomposers, including: and comparing the mutual ratio of the gas contents of the SF6 decomposers with the preset mutual ratio to determine whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault.
It should be noted that: the preset mutual ratio between the gas contents of the respective SF6 decomposition products comprises at least any one of the following: c (SO2)/c (H2S), c (SOF2)/c (S2OF10), c (SO2)/c (SOF2), c (SO2F2+ SOF4)/c (SOF2), c (SO2F2)/c (SOF2), wherein c (SO2) represents the content OF SO2 gas, and the rest is similar.
That is, it is necessary to determine a judgment standard before the mutual ratio between the gas contents of the respective SF6 decomposed products, and after the judgment standard is determined, and the judgment standard determines whether the abnormal state occurring in the insulation system of the GIS device is a thermal fault or a discharge fault.
In addition, as shown in fig. 2, the technical solution of the present application may include the following optimizations:
in a preferred example, in the case where the determined gas content of each SF6 decomposition product includes an H2S gas content and an SO2 gas content, determining whether an abnormality occurs in an operation state of an insulation system of the GIS device according to the gas content of each SF6 decomposition product includes: under the condition that the H2S gas content and the SO2 gas content are judged to meet the conditions that c (H2S) is less than or equal to 2 and c (SO2) is less than or equal to 2, the operation state of an insulation system of the GIS equipment is determined to be normal, and the process is ended; and under the condition that the H2S gas content and the SO2 gas content are judged to meet the conditions of c (H2S) > 5 or c (SO2) > 5, determining that the operation state of the insulation system of the GIS equipment is abnormal, and continuously executing the step of determining whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the SF6 decomposers.
Namely, if the analysis result shows that the GIS equipment insulation system is normal, the fault diagnosis work is stopped; and when the analysis result shows that the GIS equipment insulation system state is abnormal, the next step is carried out to further carry out fault diagnosis.
In a preferred example, in the case where the determined gas contents of the respective SF6 decomposition products include an SO2 gas content, an SOF2 gas content, an SOF4 gas content, and an SO2F2 gas content, the determining whether the abnormal state occurring to the insulation system of the GIS device is a thermal fault or a discharge fault according to a mutual ratio between the gas contents of the respective SF6 decomposition products includes: determining that the abnormal state of the insulation system of the GIS device is a thermal fault when judging that the mutual ratio of the gas contents of the respective SF6 decomposed products meets the conditions of c (SO2)/c (SOF2) >0.1 and c (SO2F2+ SOF4)/c (SOF2) < 0.1; and determining that the abnormal state of the insulation system of the GIS equipment is an electrical discharge fault when the mutual ratio of the gas contents of the various SF6 decomposition products is judged to meet the condition of c (SO2F2)/c (SOF2) > 0.3.
It should be noted that: because GIS equipment thermal fault type does not make further subdivision at present, consequently can output thermal fault. The electrical discharge fault can be subdivided into arc discharge, spark discharge, partial discharge, etc., so that it is necessary to further analyze the electrical discharge fault.
In a preferred example, after determining that the abnormal state occurring to the insulation system OF the GIS device is a discharge fault, and in a case where the determined gas content OF each SF6 decomposition product includes an SO2 gas content, an H2S gas content, an SOF2 gas content, and an S2OF10) gas content, the method further includes: under the condition that the mutual ratio of the gas contents of the SF6 decomposers is judged to meet the condition that c (SO2)/c (H2S) is more than or equal to 1 and less than or equal to 3, determining that the discharge fault occurring in the insulation system of the GIS equipment is an arc high-energy discharge fault; under the condition that the mutual ratio of the gas contents of the SF6 decomposers is judged to meet the condition that c (SO2)/c (H2S) is more than or equal to 2 and less than or equal to 5, determining that the discharging fault occurring in the insulation system of the GIS equipment is an arc low-energy discharging fault; and under the condition that the mutual ratio OF the gas contents OF the SF6 decomposers is judged to meet the condition that 8 is less than or equal to SOF2/S2OF10 is less than or equal to 25, determining that the discharging fault OF the insulation system OF the GIS equipment is partial discharge.
Further, after the discharging fault occurring in the insulation system of the GIS equipment is determined to be partial discharge, a fault diagnosis model is established by adopting a self-adaptive neural fuzzy inference system, and the specific type of the partial discharge fault is diagnosed; and then testing the unknown sample for specific fault types.
Specifically, the partial discharge fault type can be further subdivided into a high-voltage conductor protrusion defect (N-type insulation defect), a free metal particle defect (P-type insulation defect), an insulator metal contaminant defect (M-type insulation defect), and an insulator outer air gap defect (G-type insulation defect). The codes and judgment rules of the SF6 gas decomposition component analysis method are shown in tables 1 and 2 below.
TABLE 1 component content ratio code
TABLE 2 insulation Defect identification and judgment rules
When the specific type of the partial discharge fault is determined, the defects that the coding boundary is too hard and the diagnosis precision is low exist in the tables 1 and 2. The invention adopts an Adaptive Neural Fuzzy Inference System (ANFIS) to establish a fault diagnosis model.
The ANFIS continuously adjusts and optimizes parameters of the fuzzy inference system by inputting training data and utilizing the self-adaptive learning capability of the neural network, and automatically realizes the fuzzification, fuzzy inference, defuzzification and other processes of the fuzzy inference system. The ANFIS continuously adjusts and optimizes key parameters of the inference system under the drive of data, so that subjective selection or set of parameters of the inference system is avoided, fuzzy rules stored in input data are adaptively learned, potential rules of a nonlinear system are more accurately described, and the method has good generalization capability.
The ANFIS is composed of 5 layers of functional relations and comprises a fuzzy layer, a fuzzy inference layer, a standardization layer, a de-fuzzy layer and an output layer. A typical two-input single-output ANFIS structure is shown in FIG. 3, where x, y are the input quantities and O is the output of the entire system. The fuzzy rule of the system is shown as the following formula:
in the formula: a1, A2, B1 and B2 are membership functions of the fuzzy inference system.
Based on the code values shown in table 1, the ANFIS model input-output codes were established as shown in table 3 below.
TABLE 3 ANFIS model input-output encoding based on SF6 gas decomposition component analysis
The fault type shown by the serial number 5 is represented by F5 when the ratio code shown in table 1 is not satisfied, and represents a case where a specific fault type of partial discharge cannot be specified.
In this case, the content of SF6 gas decomposition products detected by the gas chromatograph in the GIS device is: c (SO2) ═ 1.2, c (H2S) ═ 0.7, c (SO2F2) ═ 35, c (SOF2) ═ 10, c (SOF4) ═ 0.6, c (S2OF10) ═ 2.4, c (CF4) ═ 2.4, and c (CO2) ═ 30, in uL/L units.
As can be seen from fig. 1 in the appendix, c (SO2) ═ 1.2 and c (H2S) ═ 0.7, which are both less than the threshold 2uL/L, it can be determined that the GIS operating state is normal.
The GIS equipment insulation system fault diagnosis method based on SF6 gas decomposition component analysis and the self-adaptive neural fuzzy inference system of the embodiment of the invention combines the particularity of the power industry, introduces the self-adaptive neural fuzzy inference system into the fault diagnosis of the GIS equipment, provides the GIS equipment insulation system fault diagnosis method based on SF6 gas decomposition component analysis and the self-adaptive neural fuzzy inference system, acquires and obtains SF6 gas decomposition component and content in the GIS equipment through the gas chromatograph, calculates and utilizes the key characteristic gas content and the gas ratio to determine the operation state and the existing defect type of the GIS equipment insulation system; and when the partial discharge exists in the GIS, establishing a fault diagnosis model based on the self-adaptive neural fuzzy inference system, and further determining the specific defect type of the partial discharge. Therefore, the method for completely and uniformly determining the state of the GIS equipment insulation system and diagnosing the fault type is established, the problems of absolute ratio coding and low diagnosis precision in SF6 gas decomposition component analysis are solved, the GIS equipment fault diagnosis process is more visual, the diagnosis result is more precise and accurate, the overhaul pertinence is effectively improved, the power failure time of the GIS equipment is shortened, and the asset utilization rate of the power equipment is improved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
An embodiment of the present invention provides a storage medium on which a program is stored, where the program, when executed by a processor, implements a fault handling method for a GIS device.
The embodiment of the invention provides a processor, which is used for running a program, wherein the fault processing method of GIS equipment is executed when the program runs.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: collecting SF6 gas samples in a target gas chamber of GIS equipment, and qualitatively and quantitatively determining the gas content of each SF6 decomposition product in the SF6 gas samples by using a gas chromatograph; determining whether the operation state of the insulation system of the GIS equipment is abnormal or not according to the gas content of each SF6 decomposition product; and determining whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the SF6 decomposers.
Optionally, when it is determined that the abnormal state of the insulation system of the GIS device is a partial discharge fault, the method further includes: and establishing a fault diagnosis model by adopting a self-adaptive neural fuzzy inference system, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model.
Optionally, the gas content of each SF6 decomposition product includes at least any one of: SO2, H2S, SO2F2, SOF2, SOF4, S2OF10, CF4 and CO2, wherein the unit is uL/L.
Optionally, before depending on the mutual ratio between the gas contents of the respective SF6 decomposers, the method further comprises: determining a preset mutual ratio among the gas contents of the SF6 decomposers, wherein the preset mutual ratio is a boundary value of different types of fault judgment of the insulation system; determining whether the abnormal state of the insulation system of the GIS device is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the respective SF6 decomposers, including: comparing the mutual ratio of the gas contents of the SF6 decomposers with the preset mutual ratio to determine whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault; wherein the preset mutual ratio between the gas contents of the respective SF6 decomposition products comprises at least any one of the following: c (SO2)/c (H2S), c (SOF2)/c (S2OF10), c (SO2)/c (SOF2), c (SO2F2+ SOF4)/c (SOF2), c (SO2F2)/c (SOF 2).
Optionally, in a case where the determined gas content of each SF6 decomposition product includes an H2S gas content and an SO2 gas content, determining whether an abnormality occurs in an operation state of an insulation system of the GIS device according to the gas content of each SF6 decomposition product includes: under the condition that the H2S gas content and the SO2 gas content are judged to meet the conditions that c (H2S) is less than or equal to 2 and c (SO2) is less than or equal to 2, the operation state of an insulation system of the GIS equipment is determined to be normal, and the process is ended; and under the condition that the H2S gas content and the SO2 gas content are judged to meet the conditions of c (H2S) > 5 or c (SO2) > 5, determining that the operation state of the insulation system of the GIS equipment is abnormal, and continuously executing the step of determining whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the SF6 decomposers.
Optionally, in a case where the determined gas content of each SF6 decomposition product includes an SO2 gas content, an SOF2 gas content, an SOF4 gas content, and an SO2F2 gas content, determining whether the abnormal state occurring in the insulation system of the GIS device is a thermal fault or an electrical discharge fault according to a mutual ratio between the gas contents of the respective SF6 decomposition products includes: determining that the abnormal state of the insulation system of the GIS device is a thermal fault when judging that the mutual ratio of the gas contents of the respective SF6 decomposed products meets the conditions of c (SO2)/c (SOF2) >0.1 and c (SO2F2+ SOF4)/c (SOF2) < 0.1; and determining that the abnormal state of the insulation system of the GIS equipment is an electrical discharge fault when the mutual ratio of the gas contents of the various SF6 decomposition products is judged to meet the condition of c (SO2F2)/c (SOF2) > 0.3.
Optionally, after determining that the abnormal state occurring in the insulation system OF the GIS device is a discharge fault, and in a case where the determined gas content OF each SF6 decomposition product includes an SO2 gas content, an H2S gas content, an SOF2 gas content, and an S2OF10) gas content, the method further includes: under the condition that the mutual ratio of the gas contents of the SF6 decomposers is judged to meet the condition that c (SO2)/c (H2S) is more than or equal to 1 and less than or equal to 3, determining that the discharge fault occurring in the insulation system of the GIS equipment is an arc high-energy discharge fault; under the condition that the mutual ratio of the gas contents of the SF6 decomposers is judged to meet the condition that c (SO2)/c (H2S) is more than or equal to 2 and less than or equal to 5, determining that the discharging fault occurring in the insulation system of the GIS equipment is an arc low-energy discharging fault; and under the condition that the mutual ratio OF the gas contents OF the SF6 decomposers is judged to meet the condition that 8 is less than or equal to SOF2/S2OF10 is less than or equal to 25, determining that the discharging fault OF the insulation system OF the GIS equipment is partial discharge.
Optionally, the establishing a fault diagnosis model by using a self-adaptive neuro-fuzzy inference system, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model includes: establishing a partial discharge sample data set according to a preset fault type, wherein the preset fault type comprises at least any one of the following: high voltage conductor overhang defects (N-type insulation defects), free metal particle defects (P-type insulation defects), insulator metal contaminant defects (M-type insulation defects), and insulator outer air gap defects (G-type insulation defects); and (3) establishing a fault diagnosis model based on an adaptive neural fuzzy inference system based on a partial discharge sample data set by using SF6 gas decomposition component analysis ratio codes, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A GIS device fault processing method is characterized by comprising the following steps:
collecting SF6 gas samples in a target gas chamber of GIS equipment, and qualitatively and quantitatively determining the gas content of each SF6 decomposition product in the SF6 gas samples by using a gas chromatograph;
determining whether the operation state of the insulation system of the GIS equipment is abnormal or not according to the gas content of each SF6 decomposition product;
and determining whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the SF6 decomposers.
2. The method according to claim 1, wherein in case that the abnormal state of the insulation system of the GIS device is determined to be a partial discharge fault, the method further comprises:
and establishing a fault diagnosis model by adopting a self-adaptive neural fuzzy inference system, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model.
3. The method of claim 1 or 2, wherein the gas content of each SF6 decomposition comprises at least any one of: SO2, H2S, SO2F2, SOF2, SOF4, S2OF10, CF4 and CO2, wherein the unit is uL/L.
4. The method according to claim 1 or 2,
before depending on the mutual ratio between the gas contents of the individual SF6 decomposers, the method further comprises: determining a preset mutual ratio among the gas contents of the SF6 decomposers, wherein the preset mutual ratio is a boundary value of different types of fault judgment of the insulation system;
determining whether the abnormal state of the insulation system of the GIS device is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the respective SF6 decomposers, including: comparing the mutual ratio of the gas contents of the SF6 decomposers with the preset mutual ratio to determine whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault;
wherein the preset mutual ratio between the gas contents of the respective SF6 decomposition products comprises at least any one of the following: c (SO2)/c (H2S), c (SOF2)/c (S2OF10), c (SO2)/c (SOF2), c (SO2F2+ SOF4)/c (SOF2), c (SO2F2)/c (SOF 2).
5. The method as claimed in claim 1 or 2, wherein in case that the determined gas content of each SF6 decomposition product comprises H2S gas content and SO2 gas content, determining whether an abnormality occurs in an insulation system operation state of the GIS equipment according to the gas content of each SF6 decomposition product comprises:
under the condition that the H2S gas content and the SO2 gas content are judged to meet the conditions that c (H2S) is less than or equal to 2 and c (SO2) is less than or equal to 2, the operation state of an insulation system of the GIS equipment is determined to be normal, and the process is ended;
and under the condition that the H2S gas content and the SO2 gas content are judged to meet the conditions of c (H2S) > 5 or c (SO2) > 5, determining that the operation state of the insulation system of the GIS equipment is abnormal, and continuously executing the step of determining whether the abnormal state of the insulation system of the GIS equipment is a thermal fault or a discharge fault according to the mutual ratio of the gas contents of the SF6 decomposers.
6. The method as claimed in claim 1 or 2, wherein in case the determined gas contents of the respective SF6 decomposition products include SO2 gas content, SOF2 gas content, SOF4 gas content and SO2F2 gas content, the determining whether the abnormal state occurred in the insulation system of the GIS equipment is a thermal fault or a discharge fault according to the mutual ratio between the gas contents of the respective SF6 decomposition products comprises:
determining that the abnormal state of the insulation system of the GIS device is a thermal fault when judging that the mutual ratio of the gas contents of the respective SF6 decomposed products meets the conditions of c (SO2)/c (SOF2) >0.1 and c (SO2F2+ SOF4)/c (SOF2) < 0.1;
and determining that the abnormal state of the insulation system of the GIS equipment is an electrical discharge fault when the mutual ratio of the gas contents of the various SF6 decomposition products is judged to meet the condition of c (SO2F2)/c (SOF2) > 0.3.
7. The method according to claim 1 or 2, wherein after determining that the abnormal state occurring in the insulation system OF the GIS device is a discharge fault, and in the case where the determined gas content OF each SF6 decomposition product includes an SO2 gas content, an H2S gas content, an SOF2 gas content, and an S2OF10) gas content, the method further comprises:
under the condition that the mutual ratio of the gas contents of the SF6 decomposers is judged to meet the condition that c (SO2)/c (H2S) is more than or equal to 1 and less than or equal to 3, determining that the discharge fault occurring in the insulation system of the GIS equipment is an arc high-energy discharge fault;
under the condition that the mutual ratio of the gas contents of the SF6 decomposers is judged to meet the condition that c (SO2)/c (H2S) is more than or equal to 2 and less than or equal to 5, determining that the discharging fault occurring in the insulation system of the GIS equipment is an arc low-energy discharging fault;
and under the condition that the mutual ratio OF the gas contents OF the SF6 decomposers is judged to meet the condition that 8 is less than or equal to SOF2/S2OF10 is less than or equal to 25, determining that the discharging fault OF the insulation system OF the GIS equipment is partial discharge.
8. The method of claim 2, wherein building a fault diagnosis model using an adaptive neuro-fuzzy inference system, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model comprises:
establishing a partial discharge sample data set according to a preset fault type, wherein the preset fault type comprises at least any one of the following: high voltage conductor overhang defects (N-type insulation defects), free metal particle defects (P-type insulation defects), insulator metal contaminant defects (M-type insulation defects), and insulator outer air gap defects (G-type insulation defects);
and (3) establishing a fault diagnosis model based on an adaptive neural fuzzy inference system based on a partial discharge sample data set by using SF6 gas decomposition component analysis ratio codes, and diagnosing the specific type of the partial discharge fault according to the fault diagnosis model.
9. A storage medium characterized in that the storage medium includes a stored program, wherein the program executes the fault handling method of the GIS device according to any one of claims 1 to 8.
10. An apparatus comprising at least one processor, and at least one memory connected to the processor, a bus; the processor and the memory complete mutual communication through a bus; the processor is used for calling the program instructions in the memory to execute the fault handling method of the GIS device in any one of claims 1 to 8.
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