Fuzzy synthesis-based transformer substation monitoring equipment integrity evaluation method

Abstract

The invention discloses a substation monitoring equipment integrity evaluation method based on fuzzy synthesis. According to the method, firstly, construction of a transformer substation monitoring equipment integrity evaluation index system is studied; a plurality of related standards such as technical specifications of equipment such as a monitoring host, a measurement and control device and a gateway machine of the transformer substation monitoring system are integrated, necessary and universal equipment integrity monitoring indexes in the state monitoring process of the monitoring equipment are compared and selected, and an equipment integrity evaluation index system of the transformer substation monitoring system is constructed. Secondly, how to apply the multilevel fuzzy synthesis method to integrity evaluation of the monitoring equipment is researched, and an integrity evaluation result of the equipment is obtained; furthermore, the feasibility of the method is researched and verified. And forming a closed-loop verification chain in an expert argument mode by adopting a subjective and objective combined verification system through a Kendall harmony coefficient and an acceptance degree index.

Description

Technical Field

[0001] The present invention relates to the field of power system automation, and in particular to a method for evaluating the integrity of substation monitoring equipment based on fuzzy synthesis. Background Art

[0002] Substation monitoring systems include monitoring equipment such as host computers, gateways, and measurement and control devices. Evaluating the status of these monitoring devices provides a foundation for scientifically understanding equipment operating status and guiding targeted inspections and maintenance. Currently, when a substation fails or issues an alarm, the monitoring system generates a significant amount of abnormal information, making it extremely difficult to quickly and accurately locate the fault or alarm and identify its cause. Furthermore, the monitoring information from these monitoring devices is often fragmented, resulting in low information utilization efficiency and inability to fully utilize the data resources. These issues pose challenges to the monitoring and evaluation of substation monitoring equipment, and further research is needed.

[0003] Integrity theory is primarily used in scenarios with high requirements for system security and data accuracy. For example, in the field of satellite navigation, it is used to measure the ability of a positioning system to promptly alert users when it is unable to provide navigation or positioning services. Substation monitoring systems play a vital role in grid stability and power supply security. The reliable operation of monitoring equipment is a key guarantee for the safety and stability of the monitoring system. Furthermore, substation monitoring systems have high requirements for data accuracy. Operations and maintenance personnel need to use real-time data to understand important information such as equipment operating conditions, load conditions, and communication status, so as to promptly identify faults and potential hidden dangers and make decisions. Therefore, this concept has been introduced into the status assessment of substation monitoring equipment, primarily to evaluate the status of monitoring equipment, proactively issue alarms when the status is abnormal, and provide specific reasons for the abnormality.

[0004] Therefore, this patent proposes a substation monitoring equipment integrity assessment method based on fuzzy synthesis, provides a quantitative assessment scheme for equipment integrity, and realizes the integrity assessment of substation monitoring equipment, which has certain practical engineering significance. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for evaluating the integrity of substation monitoring equipment. After the method is applied, the integrity evaluation of the monitoring equipment can be realized, the specific reasons for the reduction of the equipment integrity in the evaluation analysis can be obtained, the alarm information can be given in time, the utilization of the monitoring information of the monitoring equipment can be enhanced, the fault or alarm position can be located quickly and accurately, and the monitoring sensitivity of the substation monitoring equipment can be enhanced.

[0006] The purpose of the present invention is achieved through the following technical solutions:

[0007] A method for evaluating the integrity of substation monitoring equipment based on fuzzy synthesis, the method comprising:

[0008] Step 1, constructing the substation monitoring equipment integrity evaluation index system;

[0009] Step 2, on the basis of the integrity evaluation index system, studying the application of multi-level fuzzy comprehensive method to the monitoring equipment integrity evaluation, obtaining the integrity evaluation result of the equipment;

[0010] Step 3, studying the feasibility of the method and verifying it;

[0011] From the above technical solution provided by the present application, the above method is to standardize the modeling of the monitoring information inside the substation monitoring equipment, establish a general integrity evaluation index system of the monitoring equipment, and on this basis, complete the integrity evaluation of the monitoring equipment based on the multi-level fuzzy comprehensive method, quickly and accurately locate the fault or alarm position, and strengthen the monitoring ability of the substation monitoring equipment. BRIEF DESCRIPTION OF DRAWINGS

[0012] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0013] Figure 1 The substation monitoring equipment integrity evaluation index system described in the embodiments of the present application;

[0014] Figure 2 The substation monitoring equipment integrity evaluation process based on the multi-level fuzzy comprehensive method described in the embodiments of the present application. DETAILED DESCRIPTION

[0015] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0016] The embodiments of the present application will be further described in detail below in combination with the drawings. The method comprises:

[0017] Step 1, constructing the substation monitoring equipment integrity evaluation index system;

[0018] In the step 1, the specific process is:

[0019] This study examined various relevant standards, including the technical specifications for substation monitoring system equipment, including monitoring hosts, measurement and control devices, and gateways. Essential and universal equipment integrity monitoring indicators were selected for monitoring equipment status, and a comprehensive equipment integrity assessment indicator system for substation monitoring systems was constructed. The system then independently monitored the status of the three major devices in the substation monitoring system: the monitoring hosts, gateways, and measurement and control devices, extracting their respective monitoring indicators. The indicators that were common to each device were then integrated into a unified, universal monitoring equipment assessment indicator system. Following a three-tiered monitoring structure of "equipment-board-monitoring information," each device consists of different boards, each with its own monitoring information. This effectively breaks down the isolation between individual device monitoring models. Furthermore, the indicator system standardized the presentation of monitoring information for each device, enabling the monitoring system to centrally manage status and performance data for each device, improving system consistency and standardization. Furthermore, the hierarchical categorization of the indicator system ensures clear and customized data output, enabling flexible extraction and output of board data and monitoring information based on specific monitoring requirements, providing a data foundation for subsequent substation monitoring system equipment integrity assessments.

[0020] Substation monitoring equipment can be divided into the following categories based on the board: device status board, power board, CPU board, process layer board, and input / output board. The corresponding monitoring information of the board is shown in Table 1.

[0021] Table 1 Monitoring information of each board of substation monitoring equipment

[0022]

[0023] Step 2: Based on the monitoring equipment integrity assessment index system, study the specific process of applying the multi-level fuzzy comprehensive method to the monitoring equipment integrity assessment.

[0024] In step 2, the specific process can be summarized into the following six parts:

[0025] (1) Construction of the equipment integrity assessment index system. According to the equipment monitoring information requirements, a hierarchical index system is established to form a tree-structured evaluation factor set U = {u1, u2, ..., un}.

[0026] (2) Classification of evaluation levels. A four-element evaluation level set V = {good, qualified, caution, severe} = {V1, V2, V3, V4} is established, corresponding to the gradual change of equipment integrity status from normal to severe deterioration.

[0027] "Good" - all indicators of the equipment are within the ideal range and can operate well;

[0028] "Qualified" means that all indicators of the equipment fluctuate within a certain range near the ideal value, the equipment performance is good, and it is operating normally;

[0029] "Attention" - multiple indicators of the equipment tend to deviate from and exceed the range specified by the system, the indicators fluctuate greatly, and approach the threshold, an alarm is issued;

[0030] "Serious" - Certain indicators of the equipment exceed the threshold, are in an abnormal state, and can no longer operate normally, and a serious alarm is issued.

[0031] (3) Construction of fuzzy relationship matrix. By calculating its degradation degree, the membership degree of each indicator to each evaluation level is obtained and the fuzzy relationship matrix is ​​constructed.

[0032] (4) Determination of weight vectors: Invite experts to determine the importance of each indicator and use the G1 method to determine the weight.

[0033] (5) Multi-level fuzzy comprehensive evaluation: The fuzzy relationship matrix is ​​operated with the weight vector to obtain the fuzzy vector of comprehensive evaluation.

[0034] (6) Results and Analysis. The fuzzy comprehensive evaluation results are defuzzified to obtain the specific evaluation results shown in Table 2, namely the equipment integrity level. The equipment integrity level is analyzed to provide the possible conditions that may occur under this level.

[0035] Table 2. Comments on fuzzy comprehensive evaluation method

[0036]

[0037] Step 3: Study the feasibility of the proposed method and verify it;

[0038] In step 3, the specific process is:

[0039] To verify the feasibility of the proposed substation monitoring equipment integrity assessment method, a verification system combining subjective and objective factors was adopted, and a closed-loop verification chain was formed through expert demonstration. The feasibility verification indicators of the expert demonstration are as follows:

[0040] (1) Kendall's coefficient of concordance: A statistic used to measure the degree of consistency in the evaluation results of multiple evaluators on a group of objects. The value range is between 0 and 1. W = 0 means that the evaluations of the evaluators are completely inconsistent; W = 1 means that the evaluations of the evaluators are completely consistent.

[0041]

[0042] Where W is the Kendall concordance coefficient (0≤W≤1); N is the number of objects being rated; K is the number of raters; R i The sum of the ratings of the rated objects; m i is the number of repeated grades in the evaluation results of the i-th evaluator; n ijis the number of identical grades in the jth repeated grade in the evaluation results of the i-th evaluator.

[0043] (2) Approval: refers to the degree of approval or acceptance of a certain thing or individual.

[0044]

[0045] Among them, S i is the expert rating; η is the expert recognition.

[0046] 1) Conceptual Verification: The 12 authoritative experts mentioned above were invited to provide a feasibility score (1-5 points) for the indicator system and evaluation method. The specific expert scoring data are shown in Table 3 below.

[0047] Table 3 Expert scoring details

[0048]

[0049] The Kendall harmony coefficient and acceptance were further calculated, where K = 12 and N = 2, and the results are shown in Table 4 below.

[0050] Table 4 Results of the expert discussion meeting

[0051]

[0052] As shown in Table 4, most authoritative experts gave high scores to the feasibility of the indicator system and evaluation method proposed in this chapter, so the approval rate exceeded 80%; at the same time, the Kendall harmony coefficient was 0.762, reflecting that the experts' recognition was relatively consistent.

[0053] It should be noted that the contents not described in detail in the embodiments of the present invention belong to the prior art known to those skilled in the art.

[0054] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for evaluating the integrity of substation monitoring equipment based on fuzzy synthesis, characterized in that: The method comprises: Step 1: Construct an integrity assessment index system for substation monitoring equipment; Step 2: Based on the integrity assessment index system, the multi-level fuzzy comprehensive method is applied to the integrity assessment of monitoring equipment to obtain the integrity assessment results of the equipment; Step 3: Study the feasibility of the proposed method and verify it.

2. The method for evaluating the integrity of substation monitoring equipment based on fuzzy synthesis according to claim 1 is characterized in that: In step 1, a substation monitoring equipment integrity assessment index system is studied and constructed. The specific process is as follows: By studying the technical specifications and other relevant standards for substation monitoring system equipment, including the monitoring host, measurement and control devices, and gateways, the team compared and selected essential and universal equipment integrity monitoring indicators for monitoring equipment status, and constructed an indicator system for substation monitoring system equipment integrity assessment. The team then independently monitored the status of the three major devices in the substation monitoring system, namely the monitoring host, gateway, and measurement and control devices, extracted their respective monitoring indicators, and integrated the common indicators across these devices into a unified, universal monitoring equipment assessment indicator system. Based on a three-level monitoring structure of "equipment-board-monitoring information," equipment consists of different boards, each with its own corresponding monitoring information. This effectively breaks down the isolation between individual equipment monitoring models. Furthermore, the indicator system standardizes the representation of monitoring information for each device, enabling the monitoring system to centrally manage status and performance data for each device, improving system consistency and standardization. Furthermore, the hierarchical classification of the indicator system ensures clear and customized data output, enabling flexible extraction and output of board data and monitoring information based on specific monitoring requirements, providing a data foundation for subsequent substation monitoring system equipment integrity assessments. Substation monitoring equipment can be divided into the following categories based on board type: device status board, power board, CPU board, process layer board, and input / output board. The corresponding monitoring information for each board is shown in Table 1. Table 1 Monitoring information of each board of substation monitoring equipment 3. The method for evaluating the integrity of substation monitoring equipment based on fuzzy synthesis according to claim 1 is characterized in that: In step 2, based on the monitoring equipment integrity assessment index system, the multi-level fuzzy comprehensive method is applied to the monitoring equipment integrity assessment. The specific process is as follows: (1) Construction of the equipment integrity assessment index system. According to the equipment monitoring information requirements, a hierarchical index system is established to form a tree-structured evaluation factor set U = {u1, u2, ..., un}. (2) Classification of evaluation levels. A four-element evaluation level set V = {good, qualified, caution, severe} = {V1, V2, V3, V4} is established, corresponding to the gradual change of equipment integrity status from normal to severe deterioration. "Good" - all indicators of the equipment are within the ideal range and can operate well; "Qualified" means that all indicators of the equipment fluctuate within a certain range near the ideal value, the equipment performance is good, and it is operating normally; "Attention" - Multiple indicators of the equipment tend to deviate from and exceed the range specified by the system, the indicators fluctuate greatly, and approach the threshold, an alarm is issued; "Serious" - Certain indicators of the equipment exceed the threshold, are in an abnormal state, and can no longer operate normally, and a serious alarm is issued. (3) Construction of fuzzy relationship matrix. By calculating its degradation degree, the membership degree of each indicator to each evaluation level is obtained and the fuzzy relationship matrix is ​​constructed. (4) Determination of weight vectors: Invite experts to determine the importance of each indicator and use the G1 method to determine the weight. (5) Multi-level fuzzy comprehensive evaluation: The fuzzy relationship matrix is ​​operated with the weight vector to obtain the fuzzy vector of comprehensive evaluation. (6) Results and Analysis. The fuzzy comprehensive evaluation results are defuzzified to obtain the specific evaluation results shown in Table 2, namely the equipment integrity level. The equipment integrity level is analyzed to provide the possible conditions that may occur under this level. Table 2. Comments on fuzzy comprehensive evaluation method 4. The method for evaluating the integrity of substation monitoring equipment based on fuzzy synthesis according to claim 1 is characterized in that: In step 3, the feasibility of the proposed method is studied and verified. The specific process is as follows: To verify the feasibility of the proposed substation monitoring equipment integrity assessment method, a verification system combining subjective and objective factors was adopted, and a closed-loop verification chain was formed through expert demonstration. The feasibility verification indicators of the expert demonstration are as follows: (1) Kendall's coefficient of concordance: A statistic used to measure the degree of consistency in the evaluation results of multiple evaluators on a group of objects. The value range is between 0 and 1. W = 0 means that the evaluations of the evaluators are completely inconsistent; W = 1 means that the evaluations of the evaluators are completely consistent. Where W is the Kendall concordance coefficient (0≤W≤1); N is the number of objects being rated; K is the number of raters; R i The sum of the ratings of the rated objects; m i is the number of repeated grades in the evaluation results of the i-th evaluator; n ij is the number of identical grades in the jth repeated grade in the evaluation results of the i-th evaluator. (2) Approval: refers to the degree of approval or acceptance of a certain thing or individual. Among them, S i is the expert rating; η is the expert recognition. 1) Conceptual Verification: The 12 authoritative experts mentioned above were invited to provide a feasibility score (1-5 points) for the indicator system and evaluation method. The specific expert scoring data are shown in Table 3 below. Table 3 Expert scoring details The Kendall harmony coefficient and acceptance were further calculated, where K = 12 and N = 2, and the results are shown in Table 4 below. Table 4 Results of the expert discussion meeting As shown in Table 4, most authoritative experts gave high scores to the feasibility of the indicator system and evaluation method proposed in this chapter, so the approval rate exceeded 80%; at the same time, the Kendall harmony coefficient was 0.762, reflecting that the experts' recognition was relatively consistent.

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