Intelligent substation secondary system detection result evaluation method, computer equipment and computer readable storage medium

Abstract

The invention relates to an intelligent substation secondary system detection result evaluation method, computer equipment and a computer readable storage medium, and belongs to the technical field of substation secondary systems. The method comprises the following steps: acquiring indexes of each detection item on site, and calculating the specific gravity and entropy weight value of each index subjected to direction processing by using an entropy method, so as to obtain the score of each detection item; and comparing the score of each detection item with the standard score of the corresponding item, if the item detection item with the score smaller than the standard score exists, determining that the test is unqualified, otherwise, determining that the test is qualified. The method can objectively and accurately evaluate the reliability of the secondary system of the intelligent substation.

Description

Technical Field

[0001] The present invention relates to a method for evaluating detection results of a secondary system of an intelligent substation, a computer device and a computer-readable storage medium, and belongs to the technical field of secondary systems of substations. Background Art

[0002] As a distributed real-time system, the smart substation is an important part of the secondary system in the power system. It is responsible for protecting, controlling, measuring and monitoring the power grid and its equipment to ensure the safe and stable operation of the power system. Smart substation testing is a key link to ensure the smooth commissioning of smart substations. The reliability and effectiveness of the secondary equipment and system functions of smart substations depend on the guarantee of testing technology. The testing of the secondary equipment of smart substations not only includes unit testing of equipment such as merging units and smart terminal digital protection, but also requires comprehensive system-level testing of the communication, interoperability and component systems between equipment.

[0003] In the existing research on the reliability evaluation of the secondary system of smart substations, the weight of each indicator in each test item is usually measured based on experience or offline calibration. The evaluation process is highly subjective and is not sufficient to objectively evaluate the overall reliability of the secondary system of smart substations. Summary of the invention

[0004] The purpose of the present invention is to provide a smart substation secondary system detection result evaluation method, computer equipment and computer readable storage medium to solve the problem that the existing secondary system detection result evaluation method cannot objectively evaluate the overall reliability of the secondary system.

[0005] To achieve the above object, the solution of the present invention includes:

[0006] The invention discloses a method for evaluating detection results of a secondary system of a smart substation. The method collects indicators of various detection items on site, calculates the proportion of each indicator and the entropy weight value by using an entropy method, and then obtains the score of each detection item according to the proportion of each indicator and the entropy weight value; compares the score of each detection item with the standard score of the corresponding detection item, and if there is a detection item with a score less than the standard score, it means that the detection item has failed the test, otherwise it means that the detection item has passed the test.

[0007] Furthermore, when calculating the proportion and entropy weight values, the indicators are classified into positive indicators and negative indicators, and the positive indicators and negative indicators are normalized respectively. The normalization formula for the positive indicators is as follows:

[0008]

[0009] The normalization formula for negative indicators is as follows:

[0010]

[0011] In the formula, A ij represents the normalized data of the jth indicator of the i-th test item, X jmin represents the minimum value of the jth indicator among n detection items, X jmax It represents the maximum value of the jth indicator among n detection items, ε is a very small constant, i=1,2,…n, j=1,2,…m.

[0012] Furthermore, the weight calculation formula of each indicator is as follows:

[0013]

[0014] In the formula, Q ij It indicates the weight of the jth indicator of the i-th test item.

[0015] Furthermore, the entropy weight value is calculated from the entropy value obtained by calculating the proportion of each indicator.

[0016] Furthermore, the entropy value of each indicator is calculated using the following formula:

[0017]

[0018]

[0019] In the formula, e j is the entropy value of the jth indicator, and the constant λ is related to the number of detection item indicators m.

[0020] Furthermore, the entropy weight value calculation formula is as follows:

[0021]

[0022] In the formula, w j is the entropy weight value of the jth indicator.

[0023] Furthermore, the score of each test item is the weighted sum of the proportion of each indicator in the test item and the entropy weight value. The calculation formula of the test item score is:

[0024]

[0025] In the formula, S i is the score of the i-th detection item.

[0026] Furthermore, if all test items are qualified, the Euclidean distance H is determined according to the scores of each test item and the standard scores of each test item. The reliability of the substation secondary system is judged by the size of the Euclidean distance H. The calculation formula of the Euclidean distance H is as follows:

[0027]

[0028] In the formula, S i is the score of the i-th test item, is the standard score of the i-th test item, and n is the total number of test items.

[0029] The present invention also provides a computer device, comprising one or more processors, wherein the processor is used to store one or more programs, and when the one or more programs are executed by the one or more processors, the instructions of the smart substation secondary system evaluation method are implemented.

[0030] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed, a method for evaluating detection results of a secondary system of a smart substation is implemented.

[0031] Beneficial effects of the present invention: The present invention belongs to an improved invention. The present invention first collects the indicators of each detection item on site, and then uses the entropy method to analyze the indicators of each detection item, obtains the proportion and entropy weight value of each indicator in each detection item, and then obtains the project score reflecting the score of each detection item. By comparing the relationship between the score of each detection item and the standard score of the corresponding detection item, the evaluation of the detection results of the secondary system of the smart substation is realized. In the present invention, the entropy method is used to process the indicators, and the obtained detection item scores can objectively and accurately reflect the operating status and performance changes of the secondary equipment, provide data support for substation operation and maintenance decisions, and avoid the influence of subjective factors on the reliability evaluation of the secondary system detection results. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a flow chart of the evaluation method of the detection results of the secondary system of the smart substation;

[0033] Figure 2 is the result analysis flow chart;

[0034] Figure 3 It is the division diagram of the smart substation secondary system detection result evaluation system. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0036] The idea of ​​the present invention is to classify the test results of each project of the secondary system in advance, classify the data into positive indicators (the larger the better) and negative indicators (the smaller the better), normalize each type of indicator, and calculate the proportion and entropy weight value of each normalized indicator based on the entropy method, so as to obtain a project score matrix reflecting the score results of each project, and objectively judge whether the secondary system reliability test results are qualified by comparing the size of each project score in the project score matrix and the standard score matrix.

[0037] Among them, the entropy method is a multi-index decision analysis method that calculates the weight of the index through a mathematical formula, reduces the influence of human subjective judgment, and improves the objectivity of the evaluation. Based on the information entropy theory, the entropy method scientifically quantifies the amount of information and the degree of discreteness of the index, and provides a theoretical basis for determining the weight of the index. The entropy method can also dynamically adjust the weight according to the changes in the data to meet the evaluation needs at different time points or under different conditions. When applying the entropy method, the method can be adjusted according to the actual situation, such as preprocessing the index or non-negative processing of the data. The entropy method determines the characteristics of the weight based on the data characteristics, so that the evaluation results are more in line with the actual data distribution.

[0038] An embodiment of a method for evaluating detection results of a secondary system of a smart substation:

[0039] like Figure 1 The figure shows a flow chart of the evaluation method for the detection results of the secondary system of the smart substation. The purpose and expected use of the evaluation system are pre-set. Based on the evaluation objectives, a set of indicators that can fully reflect the characteristics of the object being evaluated are selected. The indicators are representative, independent, measurable and comparable.

[0040] Furthermore, a detailed data collection plan is developed, including data sources, collection methods, time points and frequencies, to ensure data quality and consistency. On-site test data of the smart substation secondary system is collected and processed according to the test items of the smart substation secondary system.

[0041] Table 1 is a schematic diagram of the test items for the secondary system of the smart substation, and the test items include environmental testing, network storm, whole group transmission and load testing. According to the test items in Table 1, the test result index system shown in Table 2 is constructed, wherein the primary index is characterized by the secondary index, and the indexes used for calculation in the present invention are all secondary indexes.

[0042] Table 1 Smart substation secondary system detection items

[0043]

[0044] Table 2 Test result index system

[0045]

[0046] Furthermore, assuming that the substation secondary system has n on-site inspection items, each inspection item has m indicators, and the evaluation data matrix shown below is constructed:

[0047]

[0048] Among them, X ij is the value of the jth indicator in the i-th detection item.

[0049] Furthermore, the data is processed according to the data type and data directionality. For example, the basic performance test of the entire station in the secondary indicator of the first-level indicator general inspection should be classified as Boolean data, and the basic performance verification of the entire station secondary system is 1 if passed and 0 if failed. The optical port receiving power in the secondary indicator is as large as possible within the standard range, while the action time test of the secondary indicator is as small as possible. Therefore, these two types of indicators should adopt different data processing methods according to the specific type of the indicator.

[0050] When the data directions are inconsistent, the data needs to be processed to eliminate the impact of different data directions. Data is divided into positive indicators and negative indicators according to different directions. Positive indicators refer to indicators where the larger the data, the better, such as equipment stability; negative indicators refer to indicators where the smaller the data, the better, such as device power consumption, action time, etc. Therefore, when normalizing, the positive indicators are processed positively and the negative indicators are processed inversely to make the data direction completely consistent.

[0051] For the indicators where the bigger the better, the following processing is performed:

[0052]

[0053] For the smaller the better indicator, the following processing is performed:

[0054]

[0055] In the formula, A ij represents the normalized data of the jth indicator of the i-th test item, X jmin represents the minimum value of the jth indicator among the i-th detection items, X jmax It represents the maximum value of the jth indicator among the i-th detection items, ε is a very small constant, i=1,2,…n, j=1,2,…m.

[0056] Specifically, in order to make subsequent calculations, ij The calculation formula Q ijIn the process of taking the logarithm, the situation where the formula is meaningless will not occur. ε is set to a constant greater than 0 and less than or equal to 0.0001. In this embodiment, ε is taken as 0.0001.

[0057] The standard data matrix after direction processing and normalization is as follows:

[0058]

[0059] Furthermore, the proportion of the standard data after direction processing and normalization is calculated based on the entropy method. The calculation formula is as follows:

[0060]

[0061] In the formula, Q ij Indicates the weight of the jth indicator of the i-th test item, A ij It represents the standard data of the jth indicator of the i-th detection item after direction processing and normalization, j=1,2,…m.

[0062] Furthermore, entropy calculation is the core of the entropy method. The entropy method uses entropy to determine the weight of the indicator. The smaller the entropy value, the greater the variability of the indicator and the more information it provides, so the greater the weight. Conversely, the indicator with a large entropy value has a small weight. j Calculated by the following formula:

[0063]

[0064] In the formula, ln is the natural logarithm, and the constant λ is related to the number of test item indicators m.

[0065] Furthermore, the coefficient of difference g of the jth indicator j Calculated by the following formula:

[0066] g j =1-e j

[0067] Among them, for the jth indicator, the indicator value X ij The greater the difference, the greater the effect on the scheme evaluation, and the smaller the entropy value. j The larger the indicator, the more important it is.

[0068] Furthermore, the entropy weight value w of the jth indicator j Calculated by the following formula:

[0069]

[0070] In the formula, j=1,2,…m.

[0071] Evaluation score S of the ith test item of the on-site test results of the secondary system of the smart substation i Calculated by the following formula:

[0072]

[0073] Furthermore, the scoring matrix of the on-site test results of the smart substation secondary system is constructed based on the comprehensive score results of each test item:

[0074] S=[S1…S i …S n ]

[0075] Where S1 represents the evaluation score of the first test item of the substation secondary system on-site test results; S i represents the evaluation score of the ith test item in the on-site test results of the substation secondary system; S n It represents the evaluation score of the nth test item in the on-site test results of the substation secondary system, i=1,2,…n.

[0076] Furthermore, according to the technical specifications such as "Q / GDW 690-2011 Field Verification Specifications for Electronic Transformers", "Q / GDW10427-2017 Technical Specifications for Substation Measurement and Control Devices", and "Technical Specifications for Acquisition Execution Units" and the actual situation of smart substations, the following smart substation standard evaluation data matrix is ​​constructed:

[0077]

[0078] In the formula, is the standard value of the jth indicator of the ith test item.

[0079] According to the above steps, the standard values ​​of each indicator in each project are processed in the direction and normalized, and the proportion and entropy weight value of the processed indicators are calculated using the entropy method to obtain the standard score matrix S of the on-site detection results of the secondary system of the smart substation as shown below: * :

[0080]

[0081] In the formula, Indicates the standard evaluation score of the first test item of the substation secondary system on-site test results; It represents the standard evaluation score of the ith test item in the on-site test results of the substation secondary system; It represents the standard evaluation score of the nth test item in the on-site test results of the substation secondary system.

[0082] In summary, the result analysis is carried out according to the above calculation results. The result analysis flow chart is as follows: Figure 2As shown. Compare the standard score matrix S under item number i * And the size of the project score matrix S. If there is a test item with an evaluation score less than the standard evaluation score, it means that the test result cannot meet the standard requirements, the test is unqualified, and the result analysis is output; if the evaluation scores of all test items are not less than the standard evaluation score, the Euclidean distance H between the evaluation score matrix of the on-site test results of the smart substation secondary system and the standard score matrix is ​​calculated according to the following formula.

[0083]

[0084] Furthermore, the overall operation status of the current smart substation is judged according to the size of the Euclidean distance H, and the result analysis is output, and the operation and maintenance strategy of the smart substation is adjusted with reference to the result. When each test item is qualified, the larger the H, the more the test results exceed the standard requirements, indicating that the secondary system of this substation can not only meet the relevant technical requirements, but also exceed the requirements of the technical standards in some test items, and the reliability of the secondary system of the smart substation is higher.

[0085] The result analysis is presented to customers in the form of graphics, reports, etc.

[0086] An embodiment of a computer device:

[0087] A computer device includes one or more processors, the processor is used to store one or more programs, when one or more programs are executed by one or more processors, an instruction of a smart substation secondary system evaluation method is implemented, the instructions of the processor in the computer device are divided into the following according to the function: Figure 3 The data acquisition module, data processing module, weight calculation module, comprehensive evaluation module and result display module are shown. Since the method embodiment has already introduced a smart substation secondary system evaluation method clearly and completely, a smart substation secondary system detection result evaluation system will not be described in detail.

[0088] Embodiments of computer readable storage media

[0089] The computer readable storage medium of the present invention stores a computer program thereon, and when the computer program is executed, the above-mentioned intelligent substation secondary system detection result evaluation method is implemented. Since a smart substation secondary system evaluation method has been introduced clearly and completely in the method embodiment, a smart substation secondary system detection result evaluation system is no longer described in detail.

Claims

1. A method for evaluating detection results of a secondary system of a smart substation, characterized in that: Collect the indicators of each test item on site, calculate the proportion and entropy weight of each indicator using the entropy method, and then obtain the score of each test item according to the proportion and entropy weight of each indicator; The score of each test item is compared with the standard score of the corresponding test item. If there is a test item with a score lower than the standard score, it means that the test item has failed the test; otherwise, it means that the test item has passed the test.

2. The method for evaluating detection results of the secondary system of a smart substation according to claim 1, characterized in that: When calculating the proportion and entropy weight values, the indicators are also classified into positive indicators and negative indicators. The positive indicators and negative indicators are normalized respectively. The normalization formula for positive indicators is as follows: The normalization formula for negative indicators is as follows: In the formula, A ij represents the normalized data of the jth indicator of the i-th test item, X jmin represents the minimum value of the jth indicator among n detection items, X jmax It represents the maximum value of the jth indicator among n detection items, ε is a very small constant, i=1,2,…n, j=1,2,…m.

3. The method for evaluating detection results of the secondary system of a smart substation according to claim 2, characterized in that: The calculation formula for the weight of each indicator is as follows: In the formula, Q ij It indicates the proportion of the jth indicator in the i-th test item.

4. The method for evaluating detection results of the secondary system of a smart substation according to claim 3, characterized in that: The entropy weight value is calculated from the entropy value obtained by calculating the proportion of each indicator.

5. The method for evaluating detection results of the secondary system of a smart substation according to claim 4, characterized in that: The calculation formula used for the entropy value of each indicator is as follows: In the formula, e j is the entropy value of the jth indicator, and the constant λ is related to the number of indicators m of the detection item.

6. The method for evaluating detection results of the secondary system of a smart substation according to claim 5, characterized in that: The entropy weight value calculation formula is as follows: In the formula, w j is the entropy weight value of the jth indicator.

7. The method for evaluating detection results of the secondary system of a smart substation according to claim 6, characterized in that: The score of each test item is the weighted sum of the proportion of each indicator in the test item and the entropy weight value. The calculation formula of the score of the test item is: In the formula, S i is the score of the i-th detection item.

8. The method for evaluating detection results of the secondary system of a smart substation according to any one of claims 1 to 7, characterized in that: If all test items are qualified, the Euclidean distance H is determined according to the scores of each test item and the standard scores of each test item. The reliability of the substation secondary system is judged by the size of the Euclidean distance H. The calculation formula of the Euclidean distance H is as follows: In the formula, S i is the score of the i-th test item, is the standard score of the i-th test item, and n is the total number of test items.

9. A computer device, characterized in that: It includes one or more processors, which are used to store one or more programs. When the one or more programs are executed by the one or more processors, the smart substation secondary system detection result evaluation method as described in any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method for evaluating the detection results of the secondary system of the smart substation as described in any one of claims 1 to 8 is implemented.

Images