CN119199526B - A green energy generator monitoring system - Google Patents
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Abstract
本发明涉及发电机组监测领域，公开了一种绿色能源发电机组监测系统，包括：发电机组监测模块，用于对发电机组进行实时监测，获取发电机组的基础运行数据信息；水源监测模块，用于获取当前发电机组的水源供给信息；异常分析模块，用于接收所述基础运行数据信息和水源供给信息，并对所述基础运行数据信息和水源供给信息进行潜在异常分析，获得发电机组异常变动系数；异常判断模块，用于对发电机组异常变动系数与预先设置的阈值区间进行对比，并根据对比结果判断当前发电机组是否存在异常；异常预警模块，用于根据判断结果生成对应的预警信号，并执行当前预警信号对应的预警策略；本发明实现了对发电机组故障的提前判断。
The present invention relates to the field of generator set monitoring, and discloses a green energy generator set monitoring system, comprising: a generator set monitoring module, used for real-time monitoring of the generator set, and obtaining basic operation data information of the generator set; a water source monitoring module, used for obtaining water source supply information of the current generator set; an abnormality analysis module, used for receiving the basic operation data information and water source supply information, and performing potential abnormality analysis on the basic operation data information and water source supply information, and obtaining the abnormal variation coefficient of the generator set; an abnormality judgment module, used for comparing the abnormal variation coefficient of the generator set with a preset threshold interval, and judging whether the current generator set has an abnormality according to the comparison result; an abnormality warning module, used for generating a corresponding warning signal according to the judgment result, and executing a warning strategy corresponding to the current warning signal; the present invention realizes early judgment of generator set failure.
Description
Technical Field
The invention relates to the field of generator set monitoring, in particular to a green energy generator set monitoring system.
Background
The green energy generator sets refer to generator sets which generate electricity by utilizing renewable energy sources such as wind energy, solar energy and water energy, clean energy sources are generally used by the generator sets, and the generator sets do not generate atmospheric pollution and greenhouse gas emission, are environment-friendly, can help to reduce dependence on fossil fuels and promote sustainable development, comprise wind power generator sets, solar power generator sets, hydroelectric generator sets and the like, and are widely applied and developed in the global scope along with the improvement of environmental awareness and the improvement of technology.
Hydroelectric generation is increasingly paid attention as an important source of green energy, because of different areas, the environments of the hydroelectric generating sets are also greatly different when the hydroelectric generating sets are operated, the operation states of the hydroelectric generating sets are required to be monitored in order to ensure that the hydroelectric generating sets are in effective working states, but the existing hydroelectric generating sets are also provided with defects, for example, the existing monitoring technology is mainly carried out in a specific parameter detection mode, only can alarm when the parameters are abnormal in a monotonous mode, and a pre-analysis process is lacking, so that the prediction capability of the hydroelectric generating sets on faults is limited, the monitoring and diagnosis can be usually carried out after the faults are generated, and early warning cannot be carried out in advance.
Disclosure of Invention
The invention aims to provide a green energy generator set monitoring system which solves the technical problems.
The aim of the invention can be achieved by the following technical scheme:
A green energy genset monitoring system comprising:
The generator set monitoring module is used for monitoring the generator set in real time and acquiring basic operation data information of the generator set;
The water source monitoring module is used for acquiring water source supply information of the current generator set;
The abnormality analysis module is used for receiving the basic operation data information and the water source supply information, and carrying out potential abnormality analysis on the basic operation data information and the water source supply information to obtain an abnormal variation coefficient of the generator set;
The abnormality judging module is used for comparing the generator set abnormality variation coefficient with a preset threshold interval and judging whether the current generator set is abnormal or not according to a comparison result;
And the abnormal early warning module is used for generating a corresponding early warning signal according to the judgment result and executing an early warning strategy corresponding to the current early warning signal.
As a further technical scheme, the basic operation data information comprises a generator set vibration parameter, an operation temperature parameter and an operation rotating speed parameter, and the water source supply information comprises a water area water level parameter and a water flow information.
As a further technical solution, the process of performing potential anomaly analysis on the basic operation data information and the water source supply information includes:
acquiring risk coefficients of generator sets in a preset time period And water source risk factor;
Dividing the preset time period into a plurality of time segments, wherein the total number of terms of the time segments is;
By the formula:
;
calculating to obtain the abnormal change coefficient of the whole generator set ;
Wherein, 、For the weight coefficient, according to the historical data and the experience data, the weight coefficient is selected and determined,;
Abnormal change coefficient of integral motor groupWith a preset threshold intervalComparing;
If it is Judging that the whole generator set is abnormal in operation;
If it is Judging the possibility of abnormal operation of the whole generator set;
If it is And judging that the whole generator set works well.
As a further technical proposal, the risk coefficient of the generator setAnd water source risk factorThe acquisition process of (1) comprises:
Acquisition of the first Time-dependent change curves of generator set operation state coefficient and water source supply state coefficient in each time period、;
By the formula:
;
Calculation to obtain the first Risk coefficient of generator set in each time interval;
By the formula:
;
Calculation to obtain the first Water source risk coefficient in each time period;
Wherein, Is the firstA start time point and an end time point of each minute; Is the first Standard change curves of the operating state coefficients of the time-sharing generator set,Is the firstStandard change curves of the water source supply state coefficients according to time periods,Is the firstReference values for the generator set operating state coefficients during the respective time intervals,Is the firstReference values for water source supply status coefficients during each time period.
As a further technical scheme, the operation state coefficient of the generator setThe water source supply state coefficientThe acquisition process of (1) comprises:
Acquiring real-time vibration parameters of current generator set Parameters of operating temperatureAnd an operating speed parameter;
Acquiring real-time water level parameters of current water areaAnd water flow information;
By the formula:
;
calculating to obtain the current generator set running state coefficient ;
Wherein if itThenThe value is 0;
If it is ThenThe value is 0;
for the mean value of vibration parameters based on historical data, To be based on the running temperature average of the historical data,To average the operating speed based on the historical data,As a value of the standard vibration parameter,As a value of the standard operating temperature,The standard running rotating speed value;、、 Selecting and determining corresponding application coefficients according to historical data and experimental data;
By the formula:
;
Calculating to obtain the current water source supply state coefficient ;
Wherein if itThenThe value is 0;
If it is Then;
For the average value of the water level parameter based on the history data,To average the flow rate of the water flow based on the historical data,Is a standard water level parameter value, and is used for controlling the water level,As the value of the standard water flow rate,、And selecting and determining the corresponding application coefficients according to historical data and experimental data.
As a further technical scheme, the monitoring system further comprises a regulation and control module, wherein the regulation and control module is used for obtaining a matching coefficient according to water source supply information and the operation state coefficient of the generator set after analysis, and regulating and controlling the operation of the generator set at the current gate according to the matching coefficient.
As a further technical scheme, the matching coefficient obtaining process includes:
Obtaining the number of current gate generator sets Operating state coefficient of each generator set;
By the formula:
;
Calculating and obtaining the matching coefficient of the current gate ;
Wherein, For conversion coefficients, the conversion coefficients are selected and determined according to historical experience data and experimental data,,And the scoring coefficient of the j-th generator set.
As a further technical solution, the scoring coefficient obtaining process includes:
Each obtained generator set operation state coefficient And a preset threshold valueComparing;
If it is And judging that the running state of the generator set is poor, and passing through the formula:
;
If it is Judging that the running state of the generator set is better, and passing through the formula:;
Calculating and obtaining scoring coefficient of j-th generator set ;
Wherein, And selecting and determining the conversion coefficient according to historical data and experience data for presetting the conversion coefficient.
As a further technical scheme, the process of regulating the operation of the generator set at the current gate according to the matching coefficient is as follows:
Matching coefficients for current gate acquisition Match threshold valueComparing;
If the matching coefficient of the current gate < Matching threshold valueJudging that the generating efficiency of the generator set at the current gate is poor, and adjusting the generator set according to a regulation strategy;
If the matching coefficient of the current gate Not less than the matching thresholdAnd judging that the generating efficiency of the generator set at the current gate is normal, and not adjusting.
As a further technical scheme, the regulation and control process of the regulation and control strategy is as follows:
the generator set with the current gate in the working state is listed as a working set;
The generator set which is not in the working state at the current gate is listed as a replacement set;
Acquiring running state coefficients of each generator set of current gate working set in real time Corresponding scoring coefficientsAnd the scoring coefficients of the work groups are arranged in descending order;
Obtaining an average scoring coefficient corresponding to each generator set of the current gate replacement setAnd sort the average scoring coefficients of the replacement groups in descending order;
The generator set scoring coefficient of the last bit of the sequenceAnd the average scoring coefficient for the first order in the replacement setComparing;
If it is <Replacing the generator set in the working group with a generator set of a replacement group;
Repeating the above steps until ≥And stopping regulation.
The invention has the beneficial effects that:
(1) The method comprises the steps of carrying out real-time monitoring on each generator set in a current area through a generator set monitoring module, combining a water source monitoring module arranged in the current water area, so as to obtain the state of the generator set and the water area supply state, carrying out potential anomaly analysis on the obtained basic operation data information and the obtained water source supply information through an anomaly analysis module, obtaining an anomaly variation coefficient of the generator set, comparing the anomaly variation coefficient of the generator set with a preset threshold interval through anomaly judgment, judging whether the current generator set is abnormal according to a comparison result, generating a corresponding early warning signal once the anomaly is judged, executing an early warning strategy corresponding to the current early warning signal, and carrying out advanced control on the potential risk existing in the current generator set through real-time monitoring and anomaly advanced analysis, so that the generator set is prevented from being greatly damaged by potential faults, and is in a safe working state and high in power generation efficiency.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention;
Fig. 2 is a schematic distribution diagram of a generator set according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention is a green energy generator set monitoring system, comprising:
The generator set monitoring module is used for monitoring the generator set in real time and acquiring basic operation data information of the generator set;
The water source monitoring module is used for acquiring water source supply information of the current generator set;
The abnormality analysis module is used for receiving the basic operation data information and the water source supply information, and carrying out potential abnormality analysis on the basic operation data information and the water source supply information to obtain an abnormal variation coefficient of the generator set;
The abnormality judging module is used for comparing the generator set abnormality variation coefficient with a preset threshold interval and judging whether the current generator set is abnormal or not according to a comparison result;
And the abnormal early warning module is used for generating a corresponding early warning signal according to the judgment result and executing an early warning strategy corresponding to the current early warning signal.
According to the technical scheme, each generator set in a current area is monitored in real time through the generator set monitoring module, the state of the generator set and the water supply state of the water area are obtained through the water source monitoring module arranged in the current area, then potential abnormality analysis is carried out on the obtained basic operation data information and the obtained water supply information through the abnormality analysis module to obtain the generator set abnormality variation coefficient, the generator set abnormality variation coefficient is compared with a preset threshold interval through abnormality judgment, whether the current generator set is abnormal or not is judged according to a comparison result, a corresponding early warning signal is generated once the abnormality is judged, an early warning strategy corresponding to the current early warning signal is executed, the potential risk existing in the current generator set can be controlled in advance through real-time monitoring and abnormality early analysis, the potential faults are prevented from causing larger damage to the generator set, and the generator set is in a safe working state and higher in power generation efficiency.
The basic operation data information comprises a generator set vibration parameter, an operation temperature parameter and an operation rotating speed parameter, and the water source supply information comprises a water area water level parameter and water flow information. In this example, the basic operating data information includes, but is not limited to, generator set vibration parameters, operating temperature parameters, and operating rotational speed parameters, the basic operating parameters are obtained by various sensors in the prior art, such as temperature sensors, vibration sensors, and rotational speed sensors, while the water level parameters and water flow parameters are obtained by instruments and sensors in the prior art, such as a water level meter or a liquid level sensor, and the water flow parameters are obtained by a flow meter.
The process of potential anomaly analysis for the base operational data information and the water source supply information includes:
acquiring risk coefficients of generator sets in a preset time period And water source risk factor;
Dividing the preset time period into a plurality of time segments, wherein the total number of terms of the time segments is;
By the formula:
;
calculating to obtain the abnormal change coefficient of the whole generator set ;
Wherein, 、For the weight coefficient, according to the historical data and the experience data, the weight coefficient is selected and determined,;
Abnormal change coefficient of integral motor groupWith a preset threshold intervalComparing;
If it is Judging that the whole generator set is abnormal in operation;
If it is Judging the possibility of abnormal operation of the whole generator set;
If it is And judging that the whole generator set works well.
Through the technical scheme, the method for analyzing the integral abnormality of the generator set in the current gate is provided, and specifically, the method comprises the following steps ofCalculating to obtain the abnormal change coefficient of the whole generator setGenerating set risk coefficient obtained according to basic operation data information processingWater source risk coefficient obtained from water source supply informationThe association is established by combining the hydraulic resource and the state of the generator set, and the abnormal change coefficient of the whole motor set is calculatedThe change trend of the generator set in the current gate can directly reflect the abnormal condition in the current gate, can rapidly judge whether the generator set in the current gate has potential danger or not, and then the abnormal change coefficient of the whole motor setWith a preset threshold intervalComparing, ifJudging that the whole generator set is abnormal in operation, if soJudging the possibility of abnormal operation of the whole generator set, if soAnd judging that the whole generator set works well.
Risk coefficient of the generator setAnd water source risk factorThe acquisition process of (1) comprises:
Acquisition of the first Time-dependent change curves of generator set operation state coefficient and water source supply state coefficient in each time period、;
By the formula:
;
Calculation to obtain the first Risk coefficient of generator set in each time interval;
By the formula:
;
Calculation to obtain the first Water source risk coefficient in each time period;
Wherein, Is the firstA start time point and an end time point of each minute; Is the first Standard change curves of the operating state coefficients of the time-sharing generator set,Is the firstStandard change curves of the water source supply state coefficients according to time periods,Is the firstReference values for the generator set operating state coefficients during the respective time intervals,Is the firstReference values for water source supply status coefficients during each time period.
Through the technical scheme, the risk coefficient of the generator set is obtainedAnd water source risk factorSpecifically, obtain the firstTime-dependent change curves of generator set operation state coefficient and water source supply state coefficient in each time period、And by the formula: Calculation to obtain the first Risk coefficient of generator set in each time intervalAnd then passing through the formula: Calculation to obtain the first Water source risk coefficient in each time periodThe running state of each generator set in the current gate and the water supply state of the current water area can be reflected in real time through the formula, and the risk coefficient of the generator setThe larger the generator set, the more unstable the generator set operates, the greater the potential failure possibility is, the water source risk coefficientThe water level and the flow rate of the water source are insufficient, and high-efficiency power generation cannot be realized.
The running state coefficient of the generator setThe water source supply state coefficientThe acquisition process of (1) comprises:
Acquiring real-time vibration parameters of current generator set Parameters of operating temperatureAnd an operating speed parameter;
Acquiring real-time water level parameters of current water areaAnd water flow information;
By the formula:
;
calculating to obtain the current generator set running state coefficient ;
Wherein if itThenThe value is 0;
If it is ThenThe value is 0;
for the mean value of vibration parameters based on historical data, To be based on the running temperature average of the historical data,To average the operating speed based on the historical data,As a value of the standard vibration parameter,As a value of the standard operating temperature,The standard running rotating speed value;、、 Selecting and determining corresponding application coefficients according to historical data and experimental data;
By the formula:
;
Calculating to obtain the current water source supply state coefficient ;
Wherein if itThenThe value is 0;
If it is Then;
For the average value of the water level parameter based on the history data,To average the flow rate of the water flow based on the historical data,Is a standard water level parameter value, and is used for controlling the water level,As the value of the standard water flow rate,、And selecting and determining the corresponding application coefficients according to historical data and experimental data.
Through the technical scheme, the method for acquiring the running state coefficient of the generator set is providedCoefficient of water supply stateIn particular, the method for obtaining real-time vibration parameters of the generator set in real timeParameters of operating temperatureAnd an operating speed parameterSimultaneously acquiring real-time water level parameters of the current water areaAnd water flow informationAnd by the formula: calculating to obtain the current generator set running state coefficient And by the formula: calculating to obtain the current water source supply state coefficient It is apparent from the above formula that the lower the water level in the water area is, the lower the water flow rate is, the water source supply state coefficient isThe larger the water source is, the worse the water source is supplied, when the vibration parameter isLarger operating temperature parameterHigher and operating speed parametersThe larger the difference between the standard running rotating speed value and the generator set running state coefficient is representedThe larger the generator set, the more unstable the running state of the generator set, and the running state coefficient of the generator setThe generator set with potential danger can be found in advance, and the danger source is timely restrained and prevented from being enlarged.
The monitoring system further comprises a regulation and control module, wherein the regulation and control module is used for acquiring a matching coefficient according to water source supply information and the operation state coefficient of the generator set after analysis, and regulating and controlling the operation of the generator set at the current gate according to the matching coefficient.
The process for obtaining the matching coefficient comprises the following steps:
Obtaining the number of current gate generator sets Operating state coefficient of each generator set;
By the formula:
;
Calculating and obtaining the matching coefficient of the current gate ;
Wherein, For conversion coefficients, the conversion coefficients are selected and determined according to historical experience data and experimental data,,And the scoring coefficient of the j-th generator set.
Through above-mentioned technical scheme, through setting up regulation and control module in this embodiment to acquire the matching coefficient after based on according to water source supply information and generating set running state coefficient analysis, can directly reflect the matching degree of current gate generating set and rivers condition according to the matching coefficient, specifically, through the formula: Calculating and obtaining the matching coefficient of the current gate Wherein, the method comprises the steps of,For conversion coefficients, the conversion coefficients are selected and determined according to historical experience data and experimental data,,The scoring coefficient of the j-th generator set; as can be seen from the foregoing,The number of generator sets required by the current water flow condition can be reflected,The larger the number of generator sets that need to be operated,The accumulated calculation of the scoring coefficient and the running state coefficient of each generator set is reflected, and the acquired matching coefficient of the current gate is further calculatedMatch threshold valueComparing if the matching coefficient of the current gate< Matching threshold valueJudging that the generating efficiency of the generator set at the current gate is poor, and adjusting the generator set according to a regulation strategy; if the matching coefficient of the current gateNot less than the matching thresholdAnd judging that the generating efficiency of the generator set at the current gate is normal, and not adjusting.
The scoring coefficient obtaining process comprises the following steps:
Each obtained generator set operation state coefficient And a preset threshold valueComparing;
If it is And judging that the running state of the generator set is poor, and passing through the formula:
;
If it is Judging that the running state of the generator set is better, and passing through the formula:;
Calculating and obtaining scoring coefficient of j-th generator set ;
Wherein, And selecting and determining the conversion coefficient according to historical data and experience data for presetting the conversion coefficient. Through the above technical solution, in this embodiment, a method for obtaining a scoring coefficient of each generator set is provided, and specifically, an operation state coefficient of each generator set is obtainedAnd a preset threshold valueComparing, ifAnd judging that the running state of the generator set is poor, and passing through the formula: If (1) Judging that the running state of the generator set is better, and passing through the formula: calculating and obtaining the scoring coefficient of the j-th generator set The power generation efficiency of each running unit can be intuitively judged through the grading coefficient, so that the power generation efficiency is high when the working power generation unit is selected, and the power generation unit with stable running state is used, and the maximum hydraulic resource utilization rate is achieved.
The regulation and control process of the regulation and control strategy comprises the following steps:
the generator set with the current gate in the working state is listed as a working set;
The generator set which is not in the working state at the current gate is listed as a replacement set;
Acquiring running state coefficients of each generator set of current gate working set in real time Corresponding scoring coefficientsAnd the scoring coefficients of the work groups are arranged in descending order;
Obtaining an average scoring coefficient corresponding to each generator set of the current gate replacement setAnd sort the average scoring coefficients of the replacement groups in descending order;
The generator set scoring coefficient of the last bit of the sequenceAnd the average scoring coefficient for the first order in the replacement setComparing;
If it is <Replacing the generator set in the working group with a generator set of a replacement group;
Repeating the above steps until ≥And stopping regulation.
Through the above technology, the embodiment provides a regulation method for executing a regulation strategy, specifically, when a working generator set needs to be regulated, the operation state coefficient of each generator set of the current gate working set is obtained in real time firstCorresponding scoring coefficientsAnd the scoring coefficients of the work groups are arranged in descending orderObtaining an average scoring coefficient corresponding to each generator set of the current gate replacement groupAnd sort the average scoring coefficients of the replacement groups in descending orderThe generator set scoring coefficient of the last bit of the sequenceAnd the average scoring coefficient for the first order in the replacement setComparing, if<Replacing the generator set in the working group with the generator set of the replacement group, and repeating the steps until≥The control is stopped, so that the running generator set can be timely replaced by a timely supplementing box, the maximum utilization efficiency of the current hydraulic resource is achieved, and meanwhile, the stable state of the running generator set is ensured.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
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| CN115833400A (en) * | 2023-02-07 | 2023-03-21 | 山东盛日电力集团有限公司 | Monitoring and early warning method and system for power equipment of transformer substation |
| CN118889700A (en) * | 2024-09-30 | 2024-11-01 | 广州市汇源通信建设监理有限公司 | An operation status supervision system based on power monitoring |
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| CN118889700A (en) * | 2024-09-30 | 2024-11-01 | 广州市汇源通信建设监理有限公司 | An operation status supervision system based on power monitoring |
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