A system and device for power safety evaluation

Abstract

The present invention relates to the technical field of power safety, and in particular to a system and device for power safety evaluation, which can discover potential risks in advance, promote the transformation from passive response to faults to active preventive maintenance, effectively extend the life of equipment, reduce maintenance costs, and improve the reliability and stability of power supply; the system comprises: a distribution topology analysis module, which is used to divide the degree of influence of power equipment in the distribution system of the substation according to the distribution topology relationship of the substation area, and obtain a first-order power equipment set, a second-order power equipment set and a third-order power equipment set; a key parameter acquisition module, which is used to collect the key operating parameters of each power equipment in the first-order power equipment set, the second-order power equipment set and the third-order power equipment set; a parameter format conversion module, which is used to align the key operating parameters of each power equipment set, and obtain a first-order power operation feature matrix, a second-order power operation feature matrix and a third-order power operation feature matrix.

Description

Technical Field

[0001] The present invention relates to the technical field of power safety, and in particular to a system and device for evaluating power safety. Background Art

[0002] In the current field of power system management and operation and maintenance, ensuring the stability and safety of the distribution system is a vital task. As the "last mile" of power supply, the distribution system in the substation is directly related to the power supply quality and reliability at the user end. With the acceleration of urbanization and the continuous growth of power demand, the distribution system in the substation is facing more and more complex challenges, including but not limited to equipment aging, load imbalance, natural disasters and human operational errors. These problems may become safety hazards and affect the continuity of power supply and service quality.

[0003] The existing methods for evaluating the safety performance of power distribution systems in substations usually simply detect faults or monitor the operating status of power equipment, but lack a comprehensive evaluation of the multi-level safety performance of power distribution systems in substations. In addition, the existing methods often only focus on a single operating parameter of power equipment, while ignoring the correlation and mutual influence between different operating parameters, resulting in inaccurate and incomplete evaluation results. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a system and device for power safety evaluation that can detect potential risks in advance, promote the transition from passive response to failures to active preventive maintenance, effectively extend equipment life, reduce maintenance costs, and improve the reliability and stability of power supply.

[0005] In a first aspect, the present invention provides a system for power safety assessment, the system comprising:

[0006] The distribution topology analysis module is used to divide the influence degree of the power equipment in the distribution system of the substation according to the distribution topology relationship of the substation area, and obtain the first-order power equipment set, the second-order power equipment set and the third-order power equipment set;

[0007] A key parameter collection module, used to collect key operating parameters of each power device in the first-order power device set, the second-order power device set and the third-order power device set;

[0008] A parameter format conversion module is used to align the key operating parameters of each set of power equipment to obtain a first-order power operation characteristic matrix, a second-order power operation characteristic matrix, and a third-order power operation characteristic matrix;

[0009] The substation power distribution safety assessment module is used to input the first-order power operation characteristic matrix, the second-order power operation characteristic matrix and the third-order power operation characteristic matrix into a pre-built substation power distribution safety assessment model in sequence, and obtain the first-order power safety assessment factor, the second-order power safety assessment factor and the third-order power safety assessment factor respectively;

[0010] A comprehensive evaluation index generation module is used to perform weighted calculation on the first-order power safety evaluation factor, the second-order power safety evaluation factor and the third-order power safety evaluation factor using a preset weight coefficient to obtain a comprehensive evaluation index of power safety in the substation area;

[0011] The safety performance judgment module is used to compare the comprehensive evaluation index of power safety in the substation with the preset evaluation index threshold, and judge whether the safety performance of the substation distribution system is qualified based on the comparison result.

[0012] Furthermore, the power equipment in the first-order power equipment set affects the power supply of the entire substation distribution, the power equipment in the second-order power equipment set affects the power supply of part of the substation distribution, and the power equipment in the third-order power equipment set affects the power supply of independent user loads within the substation.

[0013] Furthermore, the key operating parameters include voltage, current, temperature, vibration frequency and partial discharge amount.

[0014] Furthermore, in the first-order power operation characteristic matrix, the row items represent the same operation parameters of different power equipment, and the column items represent different operation parameters of the same power equipment.

[0015] Furthermore, the method for obtaining the first-order power operation characteristic matrix, the second-order power operation characteristic matrix and the third-order power operation characteristic matrix includes:

[0016] Identify and process outliers in the data, wherein the outlier processing methods include elimination, smoothing, and statistics-based outlier identification algorithms;

[0017] Convert parameters from different sources and formats into a unified standard format;

[0018] Normalize parameters with different magnitudes and units to make them in the same order of magnitude;

[0019] According to the level of equipment, the corresponding power operation characteristic matrix is ​​constructed respectively.

[0020] Furthermore, the construction method of the power distribution safety assessment model for the substation area includes:

[0021] Collect historical data of the power distribution system in the substation area, and clean, process and convert the data;

[0022] Select machine learning models as the basis for the power distribution safety assessment model in the substation area;

[0023] The selected model is trained using historical data, and cross-validation is performed to evaluate the performance and generalization ability of the distribution safety assessment model in the substation area;

[0024] According to the training and verification results, the power distribution safety assessment model of the substation is tuned and optimized;

[0025] After completing the construction and optimization of the substation power distribution safety assessment model, the substation power distribution safety assessment model will be deployed to the actual substation power distribution system.

[0026] Furthermore, the substation power distribution safety assessment model adopts any one of decision tree, support vector machine, neural network, regression analysis and time series analysis as the model framework.

[0027] Furthermore, the weight coefficient setting influencing factors of the comprehensive evaluation index generation module include safety performance standards, expert opinions, data-driven analysis and historical failure data analysis.

[0028] Furthermore, factors affecting the setting of preset evaluation index thresholds include industry standards and specifications, historical data, operation and maintenance experience, system characteristics, operating environment, user needs, service quality requirements, technical level and equipment status.

[0029] On the other hand, the present application provides a device for power safety evaluation, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and the computer program, when executed by the processor, implements the steps in any one of the above-mentioned systems.

[0030] Compared with the prior art, the beneficial effects of the present invention are as follows: the system can comprehensively evaluate the safety performance of the distribution system in the substation area from the whole to the part by dividing the power equipment into first-order, second-order and third-order sets; it helps to identify the key equipment that has a significant impact on the stability of the entire power grid, so as to locate the potential risk points more accurately; the system not only collects the traditional basic operating parameters such as voltage and current, but also includes more detailed monitoring indicators such as temperature, vibration frequency and local discharge; it can more comprehensively reflect the health status of the power equipment, timely discover equipment abnormalities, and reduce the safety hazards caused by the undetected abnormality of a single parameter; the parameter format conversion module provides a structured data basis for subsequent evaluation by aligning data and constructing a power operation feature matrix; it enhances the efficiency and accuracy of data analysis, so that the model can better understand and learn the relationship between different parameters and their impact on system safety; the substation distribution safety assessment module adopts a pre-built assessment model, which can handle complex nonlinear relationships, improve the accuracy and Predictive capability; the model conducts safety assessments on equipment at different levels, achieving an in-depth analysis of system safety; the comprehensive evaluation index generated by weighted calculation using weight coefficients can comprehensively consider safety factors at all levels and provide a clear and easy-to-understand system safety overview; the safety performance judgment module realizes automated safety performance judgment by comparing with preset thresholds, providing decision makers with instant feedback and suggestions, facilitating rapid response and handling of safety hazards; the system can not only identify current safety issues, but its forward-looking assessment capabilities can also help to discover potential risks in advance, promote the transition from passive response to faults to active preventive maintenance, effectively extend equipment life, reduce maintenance costs, and improve the reliability and stability of power supply; the power safety evaluation system has significantly improved the scientificity and efficiency of safety management of the substation distribution system through multi-level analysis, comprehensive parameter monitoring, structured data processing, advanced algorithm application and intelligent decision support, and effectively responded to the increasingly complex safety challenges in the process of urbanization. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a logic flow chart of a system for power safety evaluation in an embodiment;

[0032] Figure 2 It is the logic flow chart of the power distribution safety assessment module in the substation. DETAILED DESCRIPTION

[0033] The present application describes the provided systems and devices through flowcharts and / or block diagrams.

[0034] It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine, and these computer-readable program instructions are executed by a computer or other programmable data processing device to produce a device that implements the functions / operations specified by the boxes in the flowchart and / or block diagram.

[0035] These computer-readable program instructions may also be stored in a computer-readable storage medium that enables a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product including functions / operations specified in the blocks in the flowchart and / or block diagram.

[0036] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable data processing apparatus to provide a process for implementing the functions / operations specified in the blocks in the flowchart and / or block diagram.

[0037] The present application is described below in conjunction with the drawings in the present application.

[0038] like Figure 1 to Figure 2 As shown, a system for power safety evaluation of the present invention specifically includes the following modules:

[0039] A power distribution topology analysis module is used to divide the degree of influence of the power equipment in the power distribution system of the substation according to the power distribution topology relationship of the substation, and obtain a first-order power equipment set, a second-order power equipment set and a third-order power equipment set; the power equipment in the first-order power equipment set affects the power supply of the power distribution of the entire substation, the power equipment in the second-order power equipment set affects the power supply of the power distribution of part of the substation, and the power equipment in the third-order power equipment set affects the power supply of independent user loads in the substation;

[0040] A key parameter acquisition module is used to collect key operating parameters of each power device in the first-order power device set, the second-order power device set and the third-order power device set; the key operating parameters include voltage, current, temperature, vibration frequency and partial discharge;

[0041] A parameter format conversion module is used to perform data alignment on key operating parameters of each set of power equipment to obtain a first-order power operation characteristic matrix, a second-order power operation characteristic matrix, and a third-order power operation characteristic matrix; in the first-order power operation characteristic matrix, row items represent the same operating parameters of different power equipment, and column items represent different operating parameters of the same power equipment;

[0042] The substation power distribution safety assessment module is used to input the first-order power operation characteristic matrix, the second-order power operation characteristic matrix and the third-order power operation characteristic matrix into a pre-built substation power distribution safety assessment model in sequence, and obtain the first-order power safety assessment factor, the second-order power safety assessment factor and the third-order power safety assessment factor respectively;

[0043] A comprehensive evaluation index generation module is used to perform weighted calculation on the first-order power safety evaluation factor, the second-order power safety evaluation factor and the third-order power safety evaluation factor using a preset weight coefficient to obtain a comprehensive evaluation index of power safety in the substation area;

[0044] The safety performance judgment module is used to compare the comprehensive evaluation index of power safety in the substation with the preset evaluation index threshold, and judge whether the safety performance of the substation distribution system is qualified based on the comparison result.

[0045] In this embodiment, by dividing the power equipment into first-order, second-order and third-order sets, the safety performance of the distribution system in the substation can be comprehensively evaluated from the whole to the part; it is helpful to identify the key equipment that has a significant impact on the stability of the entire power grid, so as to locate the potential risk points more accurately; the system not only collects the traditional basic operating parameters such as voltage and current, but also includes more detailed monitoring indicators such as temperature, vibration frequency and local discharge; it can more comprehensively reflect the health status of the power equipment, timely discover equipment abnormalities, and reduce the safety hazards caused by the undetected abnormality of a single parameter; the parameter format conversion module provides a structured data basis for subsequent evaluation through data alignment and construction of the power operation feature matrix; enhances the efficiency and accuracy of data analysis, so that the model can better understand and learn the relationship between different parameters and their impact on system safety; the substation distribution safety assessment module adopts a pre-built assessment model, which can handle complex nonlinear relationships and improve the accuracy and prediction ability of the assessment; through The model conducts safety assessments on equipment at different levels, achieving an in-depth analysis of system safety. The comprehensive evaluation index generated by weighted calculation using weight coefficients can comprehensively consider safety factors at all levels and provide a clear and easy-to-understand system safety overview. The safety performance judgment module realizes automated safety performance judgment by comparing with preset thresholds, providing decision makers with instant feedback and suggestions, facilitating rapid response and handling of safety hazards. The system can not only identify current safety issues, but its forward-looking assessment capabilities can also help to discover potential risks in advance, promote the transition from passive response to faults to active preventive maintenance, effectively extend equipment life, reduce maintenance costs, and improve the reliability and stability of power supply. The power safety evaluation system has significantly improved the scientificity and efficiency of safety management of the substation distribution system through multi-level analysis, comprehensive parameter monitoring, structured data processing, advanced algorithm application and intelligent decision support, and effectively responded to the increasingly complex safety challenges in the process of urbanization.

[0046] Specifically, for the power distribution topology analysis module:

[0047] The distribution topology analysis module is the primary link in the power safety assessment system. It is based on the physical connection structure of the distribution network in the substation area and uses mathematical modeling and graph theory algorithms to analyze the dependencies and impacts between various power devices. This process is crucial for accurately evaluating the safety and stability of the distribution system. The distribution topology analysis module includes the following in its specific implementation:

[0048] Data collection and preprocessing: Collect detailed information about the distribution system in the substation area, including the type, location, capacity, rated parameters and connection methods of power equipment such as substations, transformers, lines, switchgear, capacitors, etc.; these data come from the GIS (geographic information system) database, SCADA (supervisory control and data acquisition) system and historical operation and maintenance records of the power system; in the data preprocessing stage, outliers will be cleaned, missing data will be filled, and physical connection relationships will be converted into nodes and edges in the mathematical model;

[0049] Graph theory modeling: Using graph theory, the distribution system of the substation is abstracted into a directed or undirected graph, where nodes represent power equipment and edges represent the physical connection relationship between equipment. The weight of the graph represents the impedance of the line, capacity limitation or the importance of the equipment.

[0050] Impact level classification:

[0051] The first-order power equipment set identifies the key equipment that directly affects the power supply of the entire substation, such as the main transformer, high-voltage incoming line switch, etc. If these equipment fail, it will cause a large-scale power outage, so they are considered the core of the system;

[0052] The second-order power equipment set involves those equipment that affect power distribution in some areas, such as distribution transformers, important branch lines, etc.; although their failure will not paralyze the entire area, it will cause the local area to lose power supply;

[0053] The third-order power equipment set includes those that directly serve end users, such as low-voltage lines, switches before user meters, etc. The failure of these devices only affects the power supply to individual users or a small area;

[0054] Algorithm application: After establishing the graph model of the power distribution network, various graph algorithms are applied to analyze the impact range and importance of the equipment, such as the shortest path algorithm, minimum spanning tree algorithm or connectivity analysis, to determine the fault propagation path and potential impact area of ​​the equipment; in particular, the centrality index in complex network theory can be used to quantify the importance of the equipment and then divide the equipment set;

[0055] Output and integration: The power distribution topology analysis module ultimately outputs three equipment sets, providing a basis for subsequent key parameter collection, feature matrix construction, and safety assessment.

[0056] The design and implementation of the above-mentioned distribution topology analysis module, through data collection, preprocessing and graph theory modeling, the distribution topology analysis module can accurately grasp the physical connection structure of the distribution system in the substation, so as to deeply understand the dependencies and influence levels between various power equipment; it helps the system to accurately evaluate the safety and stability of the distribution system, timely discover potential risks and take preventive measures; by dividing the first, second and third order power equipment sets, and applying graph theory algorithms to analyze the impact range and importance of the equipment, the distribution topology analysis module can identify the key equipment that directly affects the power supply of the entire substation, as well as possible fault propagation paths; it helps the system to accurately locate the source of the fault and quickly take countermeasures to minimize the scope and duration of the power outage; by analyzing the impact level and importance of the equipment, the distribution The electrical topology analysis module can provide a basis for optimizing the system's maintenance strategy and resource allocation. For key equipment in the first-order equipment set, it can increase the inspection frequency and improve the spare parts reserve. For the second- and third-order equipment sets, it can reasonably arrange maintenance plans to reduce operation and maintenance costs and risks. By pre-identifying possible fault propagation paths and impact areas, the distribution topology analysis module can help the system establish a sound fault emergency response mechanism. Once a fault occurs, the system can respond quickly based on the pre-analyzed information and take appropriate measures to minimize the impact of the fault on users. The implementation of the distribution topology analysis module can comprehensively improve the safety, stability and operating efficiency of the distribution system, provide strong support for power system management and operation and maintenance, and ensure the continuity of power supply and service quality.

[0057] Specifically, for the key parameter collection module:

[0058] The key parameter acquisition module plays a data-based role in the power safety evaluation system. It is responsible for obtaining operating parameters from the first-order to third-order power equipment collection, and providing accurate data support for subsequent analysis and evaluation. The design and implementation of this module need to comprehensively consider the comprehensiveness, real-time, accuracy and efficiency of the data to ensure that it can cover multiple dimensions that affect the health status of power equipment and system stability. The following is a detailed introduction to the key parameter acquisition module:

[0059] Data collection point determination:

[0060] Voltage and current are monitored in real time through smart meters or sensors installed on transformers, lines, and switchgear. These parameters reflect the load conditions of the equipment and the power quality of the grid.

[0061] Temperature: Use thermal imagers or built-in temperature sensors to monitor key parts of power equipment. High temperatures are often a sign of equipment overload or impending failure.

[0062] Vibration frequency: Install vibration sensors on large rotating equipment (such as generators and motors) to monitor their operating status. Abnormal vibration may indicate bearing damage or unbalanced load;

[0063] Partial discharge: monitor high-voltage equipment (such as GIS switchgear and transformers) through the partial discharge online monitoring system. Partial discharge is an important indicator of insulation degradation and can provide early warning of potential insulation failures.

[0064] Collection technology and equipment:

[0065] Intelligent sensing technology, using Internet of Things (IoT) technologies such as LoRa, Zigbee or NB-IoT communication protocols to achieve long-range, low-power data transmission;

[0066] Sensors and monitoring devices: deploy high-precision and high-stability sensors to ensure the accuracy of data collection;

[0067] Synchronous acquisition, ensuring that the parameter acquisition time of all devices is synchronized, is crucial for analyzing the relationship between parameters and locating faults. It is usually achieved through GPS clock synchronization or Network Time Protocol (NTP);

[0068] Data preprocessing and quality control:

[0069] Remove invalid, erroneous or abnormal data, and eliminate outliers by setting a reasonable threshold range; perform consistency check on data from different sensors to ensure data accuracy and completeness, and perform data fusion when necessary to improve the reliability of data analysis;

[0070] Real-time transmission and storage:

[0071] Use reliable communication networks to transmit data, such as optical fiber, wireless private network or public network encrypted tunnel to ensure the security and timeliness of data transmission; store the collected data in the cloud or local data center, and use distributed databases or time series databases to optimize the storage and query efficiency of large-scale data;

[0072] Security and Privacy Protection:

[0073] Encrypt data in transmission to prevent data leakage, and ensure network security protection of the data acquisition system to prevent illegal access; implement strict data access control to ensure that only authorized personnel can view and process sensitive data.

[0074] The design and implementation of the above-mentioned key parameter acquisition module can comprehensively and accurately reflect the operating status of the substation distribution system by collecting the key operating parameters of power equipment at all levels, which is helpful for a more accurate and comprehensive evaluation of the system safety performance; and then effectively discover potential safety hazards and problems, and take timely measures to deal with them, thereby improving the safety of the system; the key parameter acquisition module realizes the real-time collection of operating parameters of power equipment at all levels, and can monitor the health status of the equipment in real time; by monitoring the changing trends and abnormal conditions of key parameters, it can timely discover the operating abnormalities and fault signs of the equipment, which is helpful to prevent the occurrence of equipment failures and improve the reliability and stability of the system; the collected key parameter data can be used for predictive maintenance and fault diagnosis; through the analysis and processing of the data, the operation model and fault diagnosis of the equipment can be established The algorithm can predict and identify potential faults, improve the availability and reliability of equipment, and reduce downtime and maintenance costs. Through real-time monitoring and analysis of key parameter data, a comprehensive understanding of the operating status of the distribution system can be achieved, which is helpful to optimize the operation and management of the system. Through reasonable scheduling and control, load balancing, energy efficiency optimization and other goals can be achieved, and the operation efficiency and economy of the system can be improved. The collected parameter data provides an important basis for safety performance evaluation, and can provide decision makers with accurate data support and scientific basis, strengthen safety performance judgment and decision-making support capabilities, and improve the system's emergency response and safety prevention capabilities. The implementation of the key parameter acquisition module will provide strong support for the safety evaluation and operation management of the distribution system in the substation area, help improve the safety, reliability and economy of the system, and achieve the ultimate goal of power system management and operation and maintenance.

[0075] Specifically, for the parameter format conversion module:

[0076] The parameter format conversion module is a key link in the power safety assessment system. It is responsible for converting the raw data obtained from the key parameter acquisition module into a standardized and structured data format for further analysis and evaluation. The parameter format conversion module needs to perform the following steps:

[0077] Data cleaning: Identify and process outliers in the data. Common methods include elimination, smoothing, and statistical outlier identification algorithms. For missing data due to communication interruptions or other reasons, fill-in strategies can be adopted, such as using the nearest neighbor value, average value, or prediction model to estimate missing values.

[0078] Data alignment: Ensure that data collected by different devices are aligned on the time axis and achieve time consistency of data through timestamp adjustment; convert parameters from different sources and formats into a unified standard format, such as unifying parameter units such as voltage and current into international standard units to ensure consistency of subsequent processing;

[0079] Data normalization: normalize key parameters with different magnitudes and units to the same magnitude for easy comparison and comprehensive analysis; commonly used normalization methods include minimum-maximum normalization and Z-score normalization; in order to reduce the impact of scale differences between different features, scale the features to ensure that the contribution of each feature in the evaluation model matches its actual importance;

[0080] Constructing a feature matrix: When constructing a feature matrix, the row items represent different power equipment, and the column items represent different operating parameters of each device. This layout facilitates the horizontal comparison of the same parameters between devices and the vertical analysis of different parameters of a single device. According to the level of the equipment, the corresponding power operation feature matrix is ​​constructed respectively. This not only helps to understand the system risk distribution in a hierarchical manner, but also provides a data basis for hierarchical safety assessment.

[0081] Data quality verification: After completing the above conversion, a final verification of data quality is performed to ensure that the converted data is complete, accurate and suitable for subsequent safety assessment model input.

[0082] The design and implementation of the above parameter format conversion module can identify and process anomalies in the original data through data cleaning and outlier processing, thereby improving the quality and credibility of the data; it helps to avoid the influence of abnormal data in the subsequent analysis and evaluation process, and ensure the accuracy of the evaluation results; data alignment and unified format conversion ensure the consistency of data collected by different devices in time and format; it helps to eliminate confusion and errors caused by different data sources or formats, making the subsequent processing process smoother and more effective; normalization processing makes key parameters with different magnitudes and units at the same order of magnitude, which is convenient for comparison and comprehensive analysis; constructing a feature matrix makes parameter comparison between devices more intuitive and clear, which helps to identify The differences and commonalities between devices provide a basis for understanding the distribution of system risks; constructing a corresponding power operation characteristic matrix helps to achieve a hierarchical safety assessment of equipment; by analyzing the operating parameters of equipment at different levels, we can better understand the degree of impact of equipment at all levels on system safety, so as to take targeted measures to improve the overall safety of the system; the final data quality verification ensures that the converted data is complete, accurate, and suitable for subsequent safety assessment model input; it helps to ensure the accuracy and reliability of the assessment model, making the assessment results more credible; these steps of the parameter format conversion module help to improve the data quality, consistency and availability of the power safety evaluation system, and provide important support and guarantee for the stable operation and safety assessment of the system.

[0083] Specifically, for the power distribution safety assessment module in the substation area:

[0084] The substation power distribution safety assessment module is the core component of the entire power safety assessment system. Based on advanced data analysis technology and machine learning algorithms, it conducts in-depth analysis of the collected key operating parameters to assess the safety status of the substation power distribution system. The specific implementation details of this module are as follows:

[0085] Constructing a power distribution safety assessment model for the substation area:

[0086] Collect historical data of the power distribution system in the substation, including operating parameters of power equipment, historical fault data, substation topology, etc.; then clean, process and convert the data for subsequent modeling and analysis;

[0087] Selecting a machine learning model as the basis of the model; the machine learning model includes decision trees, support vector machines, neural networks, regression analysis, and time series analysis;

[0088] Use historical data to train the selected model, and use cross-validation and other methods to evaluate the performance and generalization ability of the model to ensure that the model can accurately capture the safety performance of the distribution system in the substation area and has a certain predictive ability;

[0089] Based on the results of training and validation, the model is tuned and optimized; this may involve adjusting the model's hyperparameters, feature selection, algorithm selection, etc. to improve the performance and stability of the model;

[0090] After completing the model construction and optimization, the substation power distribution safety assessment model will be deployed to the actual substation power distribution system for real-time monitoring and evaluation of the system's safety performance; at the same time, corresponding data interfaces and feedback mechanisms will be established to enable timely adjustment of the model and the adoption of measures to address potential safety risks.

[0091] The design and implementation of the above-mentioned substation power distribution safety assessment module, through in-depth analysis of historical data and the use of advanced machine learning algorithms, the substation power distribution safety assessment model can more accurately assess the safety status of the substation power distribution system; it helps to discover potential safety hazards and problems, and take corresponding preventive and maintenance measures, thereby improving the overall safety of the system; with the help of machine learning model training and optimization, the substation power distribution safety assessment model can have a certain predictive ability, can predict possible failures or safety risks in the substation power distribution system, take measures to intervene in advance, and reduce potential losses and impacts; by collecting, processing and analyzing a large amount of historical data, the substation power distribution safety assessment model can provide data-driven decision support for system management and operation and maintenance personnel; it can output the evaluation results and predictions based on the model. Information can be used to formulate more effective operation and maintenance strategies and plans, and optimize the operating efficiency and safety performance of the system; the substation distribution safety assessment model can be deployed to the actual distribution system to achieve real-time monitoring and evaluation of the system safety performance; at the same time, the establishment of corresponding data interfaces and feedback mechanisms can timely adjust the model and take measures to deal with potential safety risks to ensure the stable operation of the system; by timely discovering and resolving safety hazards, the substation distribution safety assessment model can help optimize the utilization of system resources, reduce downtime and maintenance costs caused by faults or accidents, and thus reduce the overall cost of system operation; the construction of the substation distribution safety assessment model can effectively improve the safety performance, predictive capabilities and operation and maintenance efficiency of the distribution system, and provide important support and guarantee for the development and sustainable operation of the power industry.

[0092] Specifically, for the comprehensive evaluation index generation module:

[0093] The comprehensive evaluation index generation module plays a vital role in the power safety evaluation system. It is responsible for integrating the safety evaluation factors of various levels obtained from the power distribution safety evaluation module into a comprehensive evaluation index in order to comprehensively evaluate the safety performance of the entire power distribution system in the power distribution area.

[0094] In the comprehensive evaluation index generation module, it is necessary to determine the weight coefficients of the safety assessment factors at each level. The factors affecting the setting of the weight coefficients include:

[0095] Safety performance standards, the setting of weight coefficients should be consistent with the established safety performance standards; different power systems have different safety performance requirements, some systems pay more attention to continuous power supply capabilities, while other systems pay more attention to the ability to respond quickly to sudden failures; therefore, the setting of weight coefficients should be adjusted according to specific safety performance goals;

[0096] Expert opinions play a vital role in determining weight coefficients. Usually, a team of experts or practitioners in the field of power systems are invited to participate in the process of formulating weight coefficients. Their experience and knowledge can help identify which factors have the greatest impact on the safety performance of the power system, thereby guiding the reasonable setting of weight coefficients.

[0097] Data-driven analysis: Data-driven methods can identify key factors that affect safety performance by analyzing historical data and system operation conditions, and set weight coefficients based on data distribution and statistical analysis results; providing a more objective basis to ensure that the setting of weight coefficients is more scientific and reasonable;

[0098] Historical failure data analysis: Based on historical failure records and accident analysis, certain types of equipment or parameters may prove to be highly correlated with safety accidents; these high-risk factors should be given higher weights so that they can be given more attention in the evaluation system;

[0099] Weighted calculation: Once the weight coefficient is determined, the comprehensive evaluation index generation module can perform weighted calculation on the safety assessment factors at all levels; multiply the evaluation result of each factor by the corresponding weight coefficient, and then sum the weighted results to obtain the comprehensive evaluation index;

[0100] Generation of comprehensive evaluation index: After the weighted calculation is completed, the comprehensive evaluation index generation module will use the weighted sum as the comprehensive evaluation index of the power safety in the substation; this index is used to measure the safety performance of the entire substation distribution system, and compare it with the preset evaluation index threshold to determine whether the system's safety performance is qualified.

[0101] The design and implementation of the above-mentioned comprehensive evaluation index generation module, by comprehensively considering factors such as safety performance standards, expert opinions, data-driven analysis, and historical failure data analysis, makes the setting of weight coefficients more comprehensive and objective; it ensures that the comprehensive evaluation indicators can cover many factors and do not favor opinions or assumptions from one aspect, thereby improving the objectivity and accuracy of the evaluation; through the combination of expert opinions and data analysis, the setting of weight coefficients is more reasonable and scientific; the experience of the expert team can help identify key factors, and data analysis provides an objective basis to ensure that the setting of weight coefficients is based on actual conditions and statistical analysis results, thereby improving the rationality and scientificity of the evaluation; based on historical failure data analysis and expert opinions, high-risk factors are given higher weights, thereby The comprehensive evaluation indicators have received more attention; it helps to highlight the potential risks and problems in the system and improve the pertinence and effectiveness of the evaluation system; the generation of comprehensive evaluation indicators is based on weighted calculation, and the results of safety assessment factors at all levels are integrated according to the set weight coefficients to obtain a comprehensive evaluation result; the evaluation results are more operational and practical, providing clear guidance for decision makers, helping them to better understand the safety status of the distribution system in the substation area and take corresponding measures and improvement measures; through consistency with safety performance standards, the generation module of comprehensive evaluation indicators promotes the standardization and normalization of the evaluation system; it helps to establish unified evaluation standards and methods, improves the comparability and repeatability of evaluation results, and also provides reference and reference for future evaluation work.

[0102] Specifically, for the safety performance judgment module:

[0103] The safety performance judgment module is a crucial part of the power safety evaluation system. It is responsible for determining the safety status of the distribution system in the substation based on comprehensive evaluation indicators. The design of this module must be rigorous and scientific to ensure the accuracy and reliability of the judgment results. The following is a detailed introduction to the safety performance judgment module:

[0104] The factors affecting the setting of the preset evaluation index thresholds include:

[0105] Industry standards and specifications, safety specifications of the power industry, national or regional technical standards, and internationally accepted safety guidelines are the basis for setting thresholds; these standards are usually based on long-term research, experience, and accident case summaries, and provide a reference for the minimum requirements for safe operation of the power system;

[0106] Historical data and operation and maintenance experience, past accident cases and operation and maintenance experience have an important influence on determining the preset evaluation index thresholds of safety performance; by analyzing historical data, we can understand some common types of power system faults or accidents and their impact on the safety performance of the system; based on this experience and knowledge, we can set some early warning thresholds or safety performance standards to ensure that the system can maintain safe operation under similar circumstances;

[0107] System characteristics and operating environment. Different distribution systems have different characteristics and operating environments. Therefore, the preset evaluation index thresholds need to be adjusted according to the characteristics of the specific system. For example, a distribution system located in an earthquake-prone area needs to set a stricter vibration frequency threshold to cope with the possible impact of earthquakes. A system in a hot and rainy area needs to set more sensitive thresholds for parameters such as temperature and humidity.

[0108] User needs and service quality requirements. End users have clear requirements for the quality and reliability of power supply, which will also affect the setting of preset evaluation index thresholds. For example, some key users may have strict requirements on power outage time, so the safety performance evaluation index thresholds of the distribution system need to take these special needs into account.

[0109] Technology level and equipment status. The preset evaluation index thresholds will also be affected by the current technology level and equipment status. With the continuous development of technology and the upgrading of equipment, the thresholds of certain indicators may be adjusted to reflect the performance improvement of new technologies and equipment.

[0110] Safety performance qualification judgment: If the comprehensive evaluation index reaches or exceeds the preset evaluation index threshold, the safety performance judgment module will determine that the safety performance of the substation distribution system is qualified; this means that the system is considered safe in the current operating state, can meet the expected power supply demand, and will not cause unacceptable impact on the power supply quality and reliability of the user end;

[0111] Judgment of unqualified safety performance: If the comprehensive evaluation index does not reach the preset evaluation index threshold, the safety performance judgment module will determine that the safety performance of the substation distribution system is unqualified; this means that there are potential safety hazards or operational problems in the system, which may affect the continuity of power supply and service quality; in this case, the system administrator or operation and maintenance personnel need to take corresponding measures in time to ensure that the safety performance of the system is improved and enhanced.

[0112] The design and implementation of the above-mentioned safety performance judgment module can accurately judge the safety status of the distribution system in the substation by comparing the comprehensive evaluation index with the preset threshold value; timely discover potential safety hazards or operation problems in the system, which helps the system administrator or operation and maintenance personnel to take corresponding measures to improve the safety and stability of the system; based on historical data and operation and maintenance experience, the safety performance judgment module can set reasonable early warning thresholds or safety performance standards; it helps to optimize maintenance and operation strategies, so that the system can better adapt to the actual operating environment and user needs, and improve operation and maintenance efficiency and cost-effectiveness; timely discover and judge that the safety performance of the system is unqualified, which can prompt relevant departments or personnel to take necessary measures Measures are taken to reduce the risk and loss of accidents; it helps to ensure the continuity of power supply and service quality, and reduce power outage losses and safety accidents caused by power system failures; by ensuring that the safety performance of the distribution system in the substation meets the expected standards and requirements, it can improve the end-user's satisfaction and trust in power supply; users are highly concerned about the stability and reliability of the power system, and the effective operation of the safety performance judgment module helps to meet user needs and improve user experience; the design and implementation of the safety performance judgment module is of great significance to improving the safety, stability and operating efficiency of the power system, and can effectively ensure the reliability and safety of power supply and promote the healthy development of the power industry.

[0113] In addition, the present application also provides a device for power safety evaluation, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected via a bus. When the computer program is executed by the processor, each process of the above-mentioned method for controlling output data is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0114] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A system for power safety assessment, characterized in that: The system is applied to the safety performance evaluation of the power distribution system in the substation area, and the system comprises: The distribution topology analysis module is used to divide the influence degree of the power equipment in the distribution system of the substation according to the distribution topology relationship of the substation area, and obtain the first-order power equipment set, the second-order power equipment set and the third-order power equipment set; A key parameter collection module, used to collect key operating parameters of each power device in the first-order power device set, the second-order power device set and the third-order power device set; A parameter format conversion module is used to align the key operating parameters of each set of power equipment to obtain a first-order power operation characteristic matrix, a second-order power operation characteristic matrix, and a third-order power operation characteristic matrix; The substation power distribution safety assessment module is used to input the first-order power operation characteristic matrix, the second-order power operation characteristic matrix and the third-order power operation characteristic matrix into a pre-built substation power distribution safety assessment model in sequence, and obtain the first-order power safety assessment factor, the second-order power safety assessment factor and the third-order power safety assessment factor respectively; A comprehensive evaluation index generation module is used to perform weighted calculation on the first-order power safety evaluation factor, the second-order power safety evaluation factor and the third-order power safety evaluation factor using a preset weight coefficient to obtain a comprehensive evaluation index of power safety in the substation area; The safety performance judgment module is used to compare the comprehensive evaluation index of power safety in the substation area with the preset evaluation index threshold, and judge whether the safety performance of the power distribution system in the substation area is qualified according to the comparison result; The power equipment in the first-order power equipment set affects the power supply of the entire distribution area, the power equipment in the second-order power equipment set affects the power supply of part of the distribution area, and the power equipment in the third-order power equipment set affects the power supply of independent user loads in the distribution area; The key operating parameters include voltage, current, temperature, vibration frequency and partial discharge; In the first-order power operation characteristic matrix, the row items represent the same operation parameters of different power equipment, and the column items represent different operation parameters of the same power equipment; The method for obtaining the first-order power operation characteristic matrix, the second-order power operation characteristic matrix and the third-order power operation characteristic matrix includes: Identify and process outliers in the data, wherein the outlier processing methods include elimination, smoothing, and statistics-based outlier identification algorithms; Convert parameters from different sources and formats into a unified standard format; Normalize parameters with different magnitudes and units to make them in the same order of magnitude; According to the level of equipment, the corresponding power operation characteristic matrix is ​​constructed respectively; The construction method of the power distribution safety assessment model for the substation area includes: Collect historical data of the power distribution system in the substation area, and clean, process and convert the data; Select machine learning models as the basis for the power distribution safety assessment model in the substation area; The selected model is trained using historical data, and cross-validation is performed to evaluate the performance and generalization ability of the distribution safety assessment model in the substation area; According to the training and verification results, the power distribution safety assessment model of the substation is tuned and optimized; After completing the construction and optimization of the substation power distribution safety assessment model, the substation power distribution safety assessment model will be deployed to the actual substation power distribution system.

2. A system for power safety evaluation as claimed in claim 1, characterized in that: The substation power distribution safety assessment model adopts any one of decision tree, support vector machine, neural network, regression analysis and time series analysis as the model framework.

3. A system for power safety evaluation as claimed in claim 1, characterized in that: The factors affecting the weight coefficient setting of the comprehensive evaluation index generation module include safety performance standards, expert opinions, data-driven analysis, and historical failure data analysis.

4. A system for power safety assessment as claimed in claim 1, characterized in that: The factors affecting the setting of preset evaluation index thresholds include industry standards and specifications, historical data, operation and maintenance experience, system characteristics, operating environment, user needs, service quality requirements, technical level and equipment status.

5. A device for power safety evaluation, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and characterized in that: When the computer program is executed by the processor, the steps of the system according to any one of claims 1 to 4 are implemented.

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