Method and system for evaluating reliability of power distribution equipment

Abstract

The invention relates to the technical field of data management, and particularly discloses a power distribution equipment reliability assessment method and system, and the method comprises the steps: carrying out the comprehensive analysis to obtain a power distribution equipment historical fault feature value and a power distribution equipment historical fault repair feature value, and importing a power distribution equipment reliability assessment model, comparing to obtain a power distribution equipment reliability initial evaluation grade and a power distribution equipment demand response efficiency evaluation threshold value, obtaining a power distribution equipment demand response efficiency data set, comprehensively analyzing to obtain a power distribution equipment demand response efficiency evaluation value, and reevaluating the power distribution equipment reliability grade by combining the power distribution equipment demand response efficiency evaluation threshold value. The method solves the problems that a traditional method is limited to subjective judgment based on operation experience and historical data, lacks systematicness and scientificity, lacks a comprehensive evaluation framework and cannot effectively integrate different data sources and evaluation indexes, is helpful for carrying out reliability evaluation on the equipment and taking preventive maintenance measures, and improves the reliability of the equipment. The downtime of equipment and the production loss are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to a method and system for evaluating the reliability of power distribution equipment. Background Art

[0002] Power distribution equipment plays a vital role in industrial production and power supply. Any failure or downtime of any equipment may lead to production interruption and economic loss, and may even affect public services and life. As the equipment is used for a longer time, it is prone to aging and failure. The reliability assessment of power distribution equipment has become a key means to ensure the long-term stable operation of the equipment, reduce the risk of failure and improve safety. Reasonable preventive maintenance and resource allocation can reduce maintenance costs, extend the service life of equipment and improve the overall efficiency of equipment.

[0003] For example, the invention patent with announcement number CN104835076B discloses a distribution equipment reliability assessment method and system. The distribution equipment reliability assessment method establishes a distribution network fault impact classification table for each distribution equipment according to the path of the distribution network, and determines the weights of various types of faults and defects according to the functions of each distribution equipment and the external environment; the weights of various types of faults and defects and the corresponding failure rates and correction rates are substituted into relevant calculation formulas to calculate the equipment corrected failure rate λx(i) that can directly evaluate the reliability of the corresponding distribution equipment; the reliability value RS of the entire distribution system can be calculated based on the equipment corrected failure rate λx(i); the reliability of the distribution network and related distribution equipment can be evaluated on the basis of fully considering the impact of the external environment on the distribution network, so as to arrange further inspection and maintenance of the distribution network.

[0004] Nowadays, there are still some shortcomings in the research on the reliability assessment methods of distribution equipment. Specifically, the traditional methods are limited to subjective judgments based on operating experience and historical data, lack of systematicity and scientificity, and lack of a comprehensive assessment framework. They fail to effectively integrate different data sources and evaluation indicators, resulting in subjectivity and inconsistency in the assessment results, making it difficult to accurately predict the failure risk of equipment, and leading to the one-sidedness and limitations of the assessment results. It is difficult to fully understand and optimize the reliability of equipment, and it is impossible to promptly discover and respond to potential problems in equipment operation. Maintenance decisions may not be scientific and efficient enough, resulting in unnecessary maintenance frequency or excessive maintenance, and increased maintenance costs. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method and system for evaluating the reliability of power distribution equipment, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a method for evaluating the reliability of distribution equipment, including the following steps: obtaining a historical fault data set of distribution equipment, and based on the obtained historical fault data set of distribution equipment, comprehensively analyzing to obtain the historical fault characteristic value of distribution equipment; obtaining a historical fault repair data set of distribution equipment, and based on the obtained historical fault repair data set of distribution equipment, comprehensively analyzing to obtain the historical fault repair characteristic value of distribution equipment; importing the historical fault characteristic value of distribution equipment and the historical fault repair characteristic value of distribution equipment into the reliability evaluation model of distribution equipment, and comparing to obtain the initial evaluation grade of distribution equipment reliability and the evaluation threshold of distribution equipment demand response efficiency; obtaining a demand response efficiency data set of distribution equipment, and based on the obtained demand response efficiency data set of distribution equipment, comprehensively analyzing to obtain the demand response efficiency evaluation value of distribution equipment, and re-evaluating the reliability grade of distribution equipment in combination with the demand response efficiency evaluation threshold of distribution equipment.

[0007] As a further method, based on the acquired historical fault data set of distribution equipment, a comprehensive analysis is performed to obtain the historical fault characteristic values ​​of distribution equipment. The specific analysis process is: obtaining the historical fault data set of distribution equipment, the historical fault data set of distribution equipment specifically includes the total number of historical faults of distribution equipment, the historical fault frequency of distribution equipment, and the average downtime caused by historical faults of distribution equipment; based on the acquired historical fault data set of distribution equipment, a comprehensive analysis is performed to obtain the historical fault characteristic values ​​of distribution equipment. The historical fault characteristic values ​​of distribution equipment are used as the analysis basis for comparing to obtain the initial evaluation level of distribution equipment reliability and the evaluation threshold of distribution equipment demand response efficiency.

[0008] As a further method, the historical fault characteristic value of the power distribution equipment, the specific analysis process is as follows: ; In the formula, is the historical fault characteristic value of the power distribution equipment, is the total number of historical failures of power distribution equipment, is the historical failure frequency of power distribution equipment, The average downtime caused by historical failures of power distribution equipment, is the compensation factor for the total number of historical failures of the power distribution equipment. is the compensation factor of the historical fault frequency of the set power distribution equipment, is the compensation factor for the average downtime caused by historical failures of the set power distribution equipment, and e is a natural constant.

[0009] As a further method, based on the acquired historical fault repair data set of distribution equipment, a comprehensive analysis is performed to obtain the historical fault repair characteristic value of distribution equipment. The specific analysis process is: obtain the historical fault repair data set of distribution equipment, and the historical fault repair data set of distribution equipment specifically includes the historical average fault repair time of distribution equipment, the historical average failure-free time of distribution equipment, and the average number of repair times required for the distribution equipment to complete a single fault repair; based on the acquired historical fault repair data set of distribution equipment, a comprehensive analysis is performed to obtain the historical fault repair characteristic value of distribution equipment, and the historical fault repair characteristic value of distribution equipment is used as the analysis basis for comparing to obtain the initial evaluation level of distribution equipment reliability and the distribution equipment demand response efficiency evaluation threshold.

[0010] As a further method, the historical fault repair characteristic value of the power distribution equipment, the specific analysis process is as follows: ; In the formula, is the historical fault repair characteristic value of the power distribution equipment, is the average time for repairing historical faults of power distribution equipment, is the historical mean time between failures of power distribution equipment, The average number of repair times required to repair a single fault in the distribution equipment history. is the compensation factor for the average repair time of historical faults of the power distribution equipment. is the compensation factor of the historical mean time between failures of the power distribution equipment. A compensation factor for the average number of repair times required to complete a single fault repair in the set distribution equipment history.

[0011] As a further method, the historical fault characteristic values ​​and the historical fault repair characteristic values ​​of the distribution equipment are introduced into the distribution equipment reliability assessment model, and the initial reliability evaluation grade of the distribution equipment and the evaluation threshold value of the demand response efficiency of the distribution equipment are obtained by comparison. The specific analysis process is as follows: the historical fault characteristic values ​​and the historical fault repair characteristic values ​​of the distribution equipment are introduced into the distribution equipment reliability assessment model, and the reliability evaluation value of the distribution equipment is obtained by comprehensive analysis. The reliability evaluation value of the distribution equipment is used as the analysis basis for comparing the initial reliability evaluation grade of the distribution equipment and the evaluation threshold value of the demand response efficiency of the distribution equipment; the reliability evaluation value of the distribution equipment is compared with the reliability reference evaluation value of the distribution equipment stored in the database; if the reliability evaluation value of the distribution equipment is lower than the reliability reference evaluation value of the distribution equipment, the reliability of the distribution equipment corresponding to the reliability evaluation value of the distribution equipment is average, and the distribution equipment corresponding to the reliability evaluation value of the distribution equipment is average. The initial reliability evaluation grade of the power distribution equipment is marked as level one; if the reliability evaluation value of the power distribution equipment is equal to the reference evaluation value of the power distribution equipment reliability, then the reliability of the power distribution equipment corresponding to the reliability evaluation value of the power distribution equipment is good, and the initial reliability evaluation grade of the power distribution equipment corresponding to the reliability evaluation value of the power distribution equipment is marked as level two; if the reliability evaluation value of the power distribution equipment is higher than the reference evaluation value of the power distribution equipment reliability, then the reliability of the power distribution equipment corresponding to the reliability evaluation value of the power distribution equipment is excellent, and the initial reliability evaluation grade of the power distribution equipment corresponding to the reliability evaluation value of the power distribution equipment is marked as level three; the reliability evaluation value of the power distribution equipment is compared with the distribution equipment demand response efficiency evaluation threshold value corresponding to each distribution equipment reliability evaluation value stored in the database to obtain the distribution equipment demand response efficiency evaluation threshold value corresponding to the distribution equipment reliability evaluation value, indicating the distribution equipment demand response efficiency evaluation threshold value of the distribution equipment corresponding to the reliability evaluation value of the power distribution equipment.

[0012] As a further method, a distribution equipment demand response efficiency data set specifically includes the distribution equipment demand response time, the distribution equipment demand response power generation efficiency, the distribution equipment actual response distribution amount, and the distribution equipment required response distribution amount.

[0013] As a further method, based on the obtained distribution equipment demand response efficiency data set, a comprehensive analysis is performed to obtain the distribution equipment demand response efficiency evaluation value. The specific analysis process is: based on the obtained distribution equipment demand response efficiency data set, a comprehensive analysis is performed to obtain the distribution equipment demand response efficiency evaluation value. The distribution equipment demand response efficiency evaluation value is used as the analysis basis for re-evaluating the reliability level of the distribution equipment.

[0014] As a further method, the reliability level of the distribution equipment is re-evaluated in combination with the distribution equipment demand response efficiency evaluation threshold. The specific analysis process is: compare the distribution equipment demand response efficiency evaluation value with the distribution equipment demand response efficiency evaluation threshold; if the distribution equipment demand response efficiency evaluation value is higher than the distribution equipment demand response efficiency evaluation threshold, then the distribution equipment reliability initial evaluation level of the distribution equipment corresponding to the distribution equipment demand response efficiency evaluation value is increased by one level, and the distribution equipment reliability re-evaluation level of the distribution equipment is obtained; if the distribution equipment demand response efficiency evaluation value is equal to the distribution equipment demand response efficiency evaluation threshold, then the distribution equipment reliability initial evaluation level of the distribution equipment corresponding to the distribution equipment demand response efficiency evaluation value remains unchanged, and is recorded as the distribution equipment reliability re-evaluation level of the distribution equipment; if the distribution equipment demand response efficiency evaluation value is lower than the distribution equipment demand response efficiency evaluation threshold, then the distribution equipment reliability initial evaluation level of the distribution equipment corresponding to the distribution equipment demand response efficiency evaluation value is reduced by one level, and the distribution equipment reliability re-evaluation level of the distribution equipment is obtained.

[0015] The second aspect of the present invention provides a reliability evaluation system for power distribution equipment, including a historical fault characteristic value acquisition module, a historical fault repair characteristic value acquisition module, a reliability initial evaluation level acquisition module and a reliability re-evaluation level acquisition module, wherein: the historical fault characteristic value acquisition module is used to acquire a historical fault data set of power distribution equipment, and based on the acquired historical fault data set of power distribution equipment, a comprehensive analysis is performed to obtain the historical fault characteristic value of the power distribution equipment; the historical fault repair characteristic value acquisition module is used to acquire a historical fault repair data set of power distribution equipment, and based on the acquired historical fault repair data set of power distribution equipment, a comprehensive analysis is performed to obtain the distribution equipment historical fault characteristic value; The historical fault repair characteristic values ​​of the power distribution equipment; the reliability initial evaluation grade acquisition module is used to import the historical fault characteristic values ​​of the power distribution equipment and the historical fault repair characteristic values ​​of the power distribution equipment into the power distribution equipment reliability assessment model, and compare to obtain the distribution equipment reliability initial evaluation grade and the power distribution equipment demand response efficiency assessment threshold; the reliability re-evaluation grade acquisition module is used to obtain the power distribution equipment demand response efficiency data set, based on the obtained power distribution equipment demand response efficiency data set, comprehensively analyze to obtain the power distribution equipment demand response efficiency assessment value, and re-evaluate the power distribution equipment reliability grade in combination with the power distribution equipment demand response efficiency assessment threshold.

[0016] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a method and system for evaluating the reliability of power distribution equipment, which can fully understand the failure mode, frequency and repair efficiency of the equipment, thereby conducting a more comprehensive and in-depth evaluation of the reliability of the equipment, improving the objectivity and scientific nature of the evaluation, and avoiding the uncertainty and errors caused by subjective judgment and experience reliance in traditional methods. By establishing a reliability evaluation model, it is possible to predict possible future failures of the equipment and the demand response efficiency, which helps to take preventive maintenance measures and reduce equipment downtime and production losses. After conducting an initial reliability evaluation and demand response efficiency evaluation of the power distribution equipment, targeted maintenance and management strategies can be formulated to optimize the operating efficiency and maintenance costs of the equipment and improve the overall efficiency and reliability of the equipment.

[0017] (2) The present invention obtains the initial reliability rating of the distribution equipment and the demand response efficiency assessment threshold of the distribution equipment by comparing the historical fault characteristic values ​​of the distribution equipment with the historical fault repair characteristic values ​​of the distribution equipment. It can accurately assess the reliability level of the distribution equipment, help identify the failure mode and frequency of the equipment, and predict possible future failures of the equipment, so as to take preventive maintenance measures in advance and reduce equipment downtime and production losses. The analysis based on historical data can provide an objective basis and scientific support for management decisions. According to the evaluation results, reasonable maintenance plans and resource allocation strategies can be formulated to optimize the operating efficiency and maintenance costs of the equipment, respond to changes in the equipment operating conditions in a timely manner, and optimize maintenance scheduling and resource utilization.

[0018] (3) The present invention obtains the distribution equipment demand response efficiency data set, conducts comprehensive analysis to obtain the distribution equipment demand response efficiency evaluation value, and re-evaluates the distribution equipment reliability level in combination with the distribution equipment demand response efficiency evaluation threshold. This can objectively reflect the response capability of the distribution equipment under different workloads and operating conditions, so that managers can more accurately evaluate the operating status and performance level of the equipment, thereby timely discovering potential operating problems or performance degradation. Re-evaluating the reliability level can provide managers with more decision-making support information, including formulating long-term equipment investment and update plans to ensure that the equipment can operate stably in the long term and meet business needs and standards. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0020] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0021] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0022] Figure 3 This is an image of the reliability evaluation value of the distribution equipment changing with the historical fault characteristic value of the distribution equipment. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0024] Reference Figure 1 As shown, the first aspect of the present invention provides a method for evaluating the reliability of power distribution equipment, including: obtaining a historical fault data set of the power distribution equipment, and obtaining a historical fault characteristic value of the power distribution equipment through comprehensive analysis based on the obtained historical fault data set of the power distribution equipment.

[0025] Specifically, based on the acquired historical fault data set of power distribution equipment, a comprehensive analysis is performed to obtain the historical fault characteristic value of power distribution equipment. The specific analysis process is as follows: the historical fault data set of power distribution equipment is acquired. The historical fault data set of power distribution equipment specifically includes the total number of historical faults of power distribution equipment, the historical fault frequency of power distribution equipment, and the average downtime caused by historical faults of power distribution equipment. The total number of historical faults of power distribution equipment refers to the total number of failures of a specific power distribution equipment within a certain time range, which can help evaluate the reliability of the equipment and understand how many times the equipment has failed within a period of time. The historical failure frequency of power distribution equipment refers to the frequency of failures of power distribution equipment within a certain time range, expressed in times or ratios, such as several failures per year, which can help evaluate the stability and failure rate of the equipment. The average downtime caused by historical failures of power distribution equipment refers to the average time that the power distribution equipment needs to be shut down for maintenance after each failure, which can help evaluate the impact of the equipment failure, as well as the efficiency of the maintenance work and the availability of the equipment. Based on the acquired historical fault data set of power distribution equipment, a comprehensive analysis is performed to obtain the historical fault characteristic value of power distribution equipment. The historical fault characteristic value of power distribution equipment is used as the analysis basis for comparing the initial evaluation level of the reliability of the power distribution equipment and the evaluation threshold of the demand response efficiency of the power distribution equipment.

[0026] In a specific embodiment, the total number of failures is a basic indicator, which directly reflects how many times the equipment has failed within a certain time range. If the total number of failures is high, it may mean that the equipment has a major reliability problem or insufficient maintenance. The failure frequency is the ratio of the number of failures to the equipment operating time. It can more intuitively reflect the stability and failure rate of the equipment. A high failure frequency may mean that the equipment has a higher risk and requires more frequent maintenance and overhaul. The average downtime reflects the impact of each failure on the equipment downtime and repair. If the average downtime is long, it may cause production interruptions and losses. A high total number and frequency of failures may lead to a longer average downtime, which in turn affects the failure frequency and total number. Reducing the average downtime can improve equipment availability and production efficiency.

[0027] In a specific embodiment, the characteristic values ​​obtained by analyzing the historical fault data set can more comprehensively reflect the fault conditions and operating conditions of the distribution equipment, thereby improving the accuracy of the reliability assessment, helping to identify problems and potential risks of the equipment, and providing support for the formulation of targeted maintenance measures. Based on the historical fault characteristic values, more effective maintenance plans can be formulated, including preventive maintenance and troubleshooting strategies. By analyzing the failure frequency and downtime, the maintenance priority and frequency can be determined, and the maintenance efficiency and equipment availability can be improved. The weak links and common failure modes of the equipment can be identified, and the equipment design, operation and maintenance strategies can be improved in a targeted manner, thereby improving the performance and reliability of the equipment. By reasonably analyzing the historical fault data, the maintenance needs of the equipment can be more accurately predicted, unnecessary maintenance and downtime can be avoided, maintenance costs can be reduced, and the service life of the equipment can be extended.

[0028] Furthermore, the specific analysis process of the historical fault characteristic value of the power distribution equipment is as follows: ; In the formula, is the historical fault characteristic value of the power distribution equipment, is the total number of historical failures of power distribution equipment, is the historical failure frequency of power distribution equipment, The average downtime caused by historical failures of power distribution equipment, is the compensation factor for the total number of historical failures of the power distribution equipment. is the compensation factor of the historical fault frequency of the set power distribution equipment, is the compensation factor for the average downtime caused by historical failures of the set power distribution equipment, and e is a natural constant.

[0029] It should be explained that the above-mentioned historical fault characteristic values ​​of the power distribution equipment are calculated by the total number of historical faults of the power distribution equipment, the historical fault frequency of the power distribution equipment, and the average downtime caused by the historical faults of the power distribution equipment. The total number of historical faults of the power distribution equipment, the historical fault frequency of the power distribution equipment, and the average downtime caused by the historical faults of the power distribution equipment are normalized. The total number of failures and the frequency are calculated, which can comprehensively evaluate the failure conditions of the equipment in the past period of time, help managers understand the stability and operational reliability of the equipment, and identify possible problem areas and failure modes. The historical failure frequency reflects the frequency of equipment failures in a specific time period, which can help predict the failure trends that the equipment may face in the future, and help to formulate preventive maintenance strategies to reduce possible downtime and production interruptions in the future. Based on the analysis of historical fault characteristic values, managers can take predictive maintenance measures, that is, repair or replace key components before the equipment has problems, which can reduce the downtime and maintenance costs caused by sudden failures and improve the availability and production efficiency of the equipment. The analysis results of historical fault characteristic values ​​can provide decision support for managers, including equipment updates and investment planning, and identify high-frequency failures or long-term downtime problems. ,Managers can formulate long-term equipment maintenance and update strategies to ensure that the equipment operates in the best condition, which is helpful to evaluate the reliability of equipment. Every time an equipment failure occurs, the operator or maintenance personnel will record the detailed information of the failure in the system, including the failure time, failure type, and repair time. Every time an equipment failure occurs, the operator or maintenance personnel will record the detailed information of the failure in the system, including the failure time, failure type, and repair time. The set total number of historical failures of distribution equipment, the historical failure frequency of distribution equipment, and the compensation factor of the average downtime caused by the historical failures of distribution equipment are obtained from the database. According to the historical data, a mapping set of the total number of historical failures of distribution equipment, the historical failure frequency of distribution equipment, and the average downtime caused by the historical failures of distribution equipment and the total number of historical failures of distribution equipment, the historical failure frequency of distribution equipment, and the compensation factor of the average downtime caused by the historical failures of distribution equipment are established. The total number of historical failures of distribution equipment, the historical failure frequency of distribution equipment, and the average downtime caused by the historical failures of distribution equipment corresponding to the current total number of historical failures of distribution equipment, the historical failure frequency of distribution equipment, and the average downtime caused by the historical failures of distribution equipment are obtained.

[0030] A historical fault repair data set of power distribution equipment is obtained, and based on the obtained historical fault repair data set of power distribution equipment, a comprehensive analysis is performed to obtain a historical fault repair feature value of the power distribution equipment.

[0031] Specifically, based on the acquired historical fault repair data set of power distribution equipment, a comprehensive analysis is performed to obtain the historical fault repair characteristic value of power distribution equipment. The specific analysis process is: obtain the historical fault repair data set of power distribution equipment. The historical fault repair data set of power distribution equipment specifically includes the historical average fault repair time of power distribution equipment, the historical average fault-free time of power distribution equipment, and the average number of repairs required for the distribution equipment to complete a single fault repair in history. The historical average fault repair time of power distribution equipment refers to the average time required to repair the fault when the power distribution equipment fails. A shorter average repair time usually indicates that the equipment is easy to repair and the maintenance process is smooth. A longer average repair time usually indicates that the equipment is difficult to repair. The historical average fault-free time of power distribution equipment refers to the average time that the power distribution equipment is in continuous normal operation, that is, the average time that the equipment can continue to operate in the absence of a fault. A longer average fault-free time indicates that the equipment has high stability and low fault frequency, which is conducive to the continuity of production and operation. The average number of repairs required to complete a single fault repair in history of power distribution equipment refers to the average number of repairs required to completely solve the fault after the power distribution equipment fails. A smaller average number of repairs indicates that the equipment is easy to repair, while a larger number of repairs may mean that the equipment is difficult to repair. Based on the acquired data set of historical fault repair of distribution equipment, a comprehensive analysis is performed to obtain the characteristic value of historical fault repair of distribution equipment. The characteristic value of historical fault repair of distribution equipment is used as the analysis basis for comparing the initial evaluation level of distribution equipment reliability and the evaluation threshold of distribution equipment demand response efficiency.

[0032] In a specific embodiment, a shorter mean time to repair a fault usually means that the equipment is less difficult to maintain and may require fewer repairs to solve the problem. A longer mean time between failures is usually associated with a shorter mean time to repair a fault. If the equipment does not fail for a long time, it usually indicates that the equipment has high stability.

[0033] In a specific embodiment, a comprehensive analysis of the historical fault repair data set of the power distribution equipment can obtain a more comprehensive equipment maintenance evaluation, including data indicators in multiple aspects such as the average fault repair time, the mean time between failures, and the average number of repairs required to complete a single fault repair, which helps to fully understand the maintenance status of the equipment. The historical fault repair characteristic values ​​of the power distribution equipment can be used to more accurately evaluate the reliability of the equipment, help determine the reliability level of the equipment, and provide a more scientific basis for the maintenance and management of the equipment, thereby improving the reliability and stability of the equipment. Based on the historical fault repair characteristic values, the demand response efficiency of the equipment can be better evaluated, which helps to determine the response speed and efficiency of the equipment when facing faults, and provide guidance for improving maintenance strategies and improving equipment operating efficiency. The historical fault repair characteristic values ​​obtained by comprehensive analysis can help managers better understand the maintenance status of the equipment, help to formulate more effective maintenance plans and improve equipment management strategies, thereby improving the reliability, stability and operating efficiency of the equipment.

[0034] Furthermore, the specific analysis process of the historical fault repair characteristic value of the power distribution equipment is as follows: ; In the formula, is the historical fault repair characteristic value of the power distribution equipment, is the average time for repairing historical faults of power distribution equipment, is the historical mean time between failures of power distribution equipment, The average number of repair times required to repair a single fault in the distribution equipment history. is the compensation factor for the average repair time of historical faults of the power distribution equipment. is the compensation factor of the historical mean time between failures of the power distribution equipment. A compensation factor for the average number of repair times required to complete a single fault repair in the set distribution equipment history.

[0035] It should be explained that the above-mentioned historical fault repair characteristic values ​​of distribution equipment are calculated through the average duration of historical fault repairs of distribution equipment, the average fault-free time of distribution equipment, and the average number of repair times required for distribution equipment to complete a single fault repair in history. The average duration of historical fault repairs of distribution equipment, the average fault-free time of distribution equipment, and the average number of repair times required for distribution equipment to complete a single fault repair in history are normalized. Based on the analysis of historical fault repair characteristic values, managers can formulate predictive maintenance policies, analyze the average number of repair times required to complete a single fault repair in history, identify equipment components with frequent faults, and perform maintenance or replacement in advance, thereby reducing downtime that may be caused by future faults and understanding faults. The average duration and number of repairs can help managers optimize resource allocation, ensure that the maintenance team can effectively respond to and handle equipment failures at critical moments, help reduce maintenance costs, and minimize the possibility of production interruptions. The historical fault repair characteristic values ​​provide objective data support, which can provide decision support for managers and engineers to formulate long-term equipment management and maintenance strategies, optimize equipment life and overall operational efficiency, and enhance the competitiveness and sustainable development capabilities of enterprises. Based on the historical fault repair characteristic values, it is helpful to evaluate equipment reliability. The maintenance management system or fault recording system records the detailed information of each equipment failure, including the time when the failure occurred, the start time of the repair, and the time when the repair was completed. The average time taken to repair a historical fault of the distribution equipment can be calculated, that is, the average time taken to repair each fault. The time series database or historical data storage system stores the operation data of the equipment, including working time and downtime, and can calculate the historical mean time between failures of the distribution equipment, that is, the average time period of continuous operation of the equipment. The monitoring system monitors the operation status and performance parameters of the equipment in real time, and can record the specific circumstances when the equipment fails, including the average number of repairs required during the repair process. The compensation factors for the historical mean time taken to repair a historical fault of the distribution equipment, the historical mean time between failures of the distribution equipment, and the average number of repairs required to complete a single fault repair of the distribution equipment are obtained from the database. A mapping set of historically measured average fault repair time of distribution equipment, average fault-free time of distribution equipment, average number of repair times required for distribution equipment to complete a single fault repair and compensation factors of historical average fault repair time of distribution equipment, average fault-free time of distribution equipment, and average number of repair times required for distribution equipment to complete a single fault repair is established based on historical data to obtain the compensation factors of historical average fault repair time of distribution equipment, historical average fault-free time of distribution equipment, and average number of repair times required for distribution equipment to complete a single fault repair corresponding to the current average fault repair time of distribution equipment, historical average fault-free time of distribution equipment, and average number of repair times required for distribution equipment to complete a single fault repair

[0036] The historical fault characteristic values ​​and historical fault repair characteristic values ​​of distribution equipment are imported into the distribution equipment reliability assessment model, and the initial assessment grade of distribution equipment reliability and the evaluation threshold of distribution equipment demand response efficiency are obtained by comparison.

[0037] Specifically, the historical fault characteristic values ​​and the historical fault repair characteristic values ​​of the distribution equipment are imported into the distribution equipment reliability assessment model, and the initial reliability evaluation grade of the distribution equipment and the evaluation threshold value of the demand response efficiency of the distribution equipment are obtained by comparison. The specific analysis process is as follows: the historical fault characteristic values ​​and the historical fault repair characteristic values ​​of the distribution equipment are imported into the distribution equipment reliability assessment model, and the reliability evaluation value of the distribution equipment is obtained by comprehensive analysis. The reliability evaluation value of the distribution equipment is used as the analysis basis for comparing the initial reliability evaluation grade of the distribution equipment and the evaluation threshold value of the demand response efficiency of the distribution equipment; the reliability evaluation value of the distribution equipment is compared with the reliability reference evaluation value of the distribution equipment stored in the database; if the reliability evaluation value of the distribution equipment is lower than the reliability reference evaluation value of the distribution equipment, the reliability of the distribution equipment corresponding to the reliability evaluation value of the distribution equipment is average, and the reliability of the distribution equipment corresponding to the reliability evaluation value of the distribution equipment is average. The initial reliability evaluation grade of the distribution equipment is marked as level one; if the reliability evaluation value of the distribution equipment is equal to the reference reliability evaluation value of the distribution equipment, the reliability of the distribution equipment corresponding to the reliability evaluation value of the distribution equipment is good, and the initial reliability evaluation grade of the distribution equipment corresponding to the reliability evaluation value of the distribution equipment is marked as level two; if the reliability evaluation value of the distribution equipment is higher than the reference reliability evaluation value of the distribution equipment, the reliability of the distribution equipment corresponding to the reliability evaluation value of the distribution equipment is excellent, and the initial reliability evaluation grade of the distribution equipment corresponding to the reliability evaluation value of the distribution equipment is marked as level three; the reliability evaluation value of the distribution equipment is compared with the distribution equipment demand response efficiency evaluation threshold value corresponding to each distribution equipment reliability evaluation value stored in the database to obtain the distribution equipment demand response efficiency evaluation threshold value corresponding to the distribution equipment reliability evaluation value, indicating the distribution equipment demand response efficiency evaluation threshold value of the distribution equipment corresponding to the reliability evaluation value of the distribution equipment.

[0038] It needs to be explained that comparing and marking the reliability assessment value of the distribution equipment obtained by the above comparison with the reference reliability assessment value of the distribution equipment can provide an objective and real-time reliability assessment, and help managers understand the actual reliability level of the distribution equipment. According to the initial assessment grade mark corresponding to the obtained reliability assessment value, managers can quickly judge the reliability grade of the distribution equipment and take corresponding maintenance and management measures in time to ensure the normal operation of the equipment. The reliability assessment value of the distribution equipment is compared with the demand response efficiency assessment threshold of the distribution equipment stored in the database to obtain the demand response efficiency assessment threshold of the distribution equipment, which helps to guide the response speed and efficiency of the equipment when facing faults, improve the recognition and processing speed of equipment faults, and reduce the downtime caused by faults. By analyzing the obtained distribution equipment reliability assessment value and demand response efficiency assessment threshold, managers can optimize the equipment maintenance plan, formulate more scientific and effective maintenance strategies, and improve the reliability and operation efficiency of the equipment.

[0039] It should be explained that the above distribution equipment reliability assessment model has the following specific analysis process: ; In the formula, is the reliability evaluation value of power distribution equipment, is the historical fault characteristic value of the power distribution equipment, Repair characteristic values ​​of historical faults of power distribution equipment.

[0040] It needs to be explained that the above-mentioned importing of historical fault characteristic values ​​and historical fault repair characteristic values ​​of distribution equipment into the reliability assessment model of distribution equipment and comprehensive analysis to obtain the reliability assessment value of distribution equipment based on historical fault data can provide an objective and scientific basis for assessment, avoid bias based on subjective judgment, accurately assess the reliability level of equipment in past fault and maintenance records, and comprehensively consider historical fault characteristics and repair characteristics to comprehensively analyze the reliability status of equipment. Assessment based on historical fault data can help predict the failure trend and frequency of equipment in the future, take preventive maintenance measures, and replace or repair components that may have problems in a timely manner, thereby reducing the risk of sudden equipment failures and improving equipment reliability and availability. Reliability assessment results can provide managers with important decision-making support, including optimizing equipment maintenance plans, adjusting operation strategies, and formulating long-term equipment updates and investment plans, which will help optimize resource allocation, reduce operating costs, and improve the overall economic benefits of equipment.

[0041] like Figure 3As shown, it is an image of the distribution equipment reliability evaluation value changing with the distribution equipment historical fault characteristic value, where the x-axis represents the distribution equipment historical fault characteristic value, and the y-axis represents the distribution equipment reliability evaluation value. It can help intuitively understand how the distribution equipment historical fault characteristic value affects the distribution equipment reliability evaluation value. The larger the distribution equipment historical fault characteristic value, the larger the distribution equipment reliability evaluation value, indicating that the distribution equipment is more reliable. As the distribution equipment historical fault characteristic value increases, the influence of the distribution equipment historical fault characteristic value on the distribution equipment reliability evaluation value gradually weakens. The distribution equipment historical fault repair characteristic value is set to 4 unchanged, and only the size of the distribution equipment historical fault characteristic value is changed. Example values ​​of the distribution equipment historical fault characteristic value are as follows: Table 1: Example values ​​of historical fault characteristic values ​​of power distribution equipment in the reliability evaluation value of power distribution equipment

[0042] It should be noted that the larger the distribution equipment historical fault repair characteristic value is, the larger the distribution equipment reliability evaluation value is, indicating that the distribution equipment is more reliable. As the distribution equipment historical fault repair characteristic value increases, the influence of the distribution equipment historical fault repair characteristic value on the distribution equipment reliability evaluation value gradually increases. The distribution equipment historical fault characteristic value is set to 2 and remains unchanged, and only the size of the distribution equipment historical fault repair characteristic value is changed. Example values ​​of the distribution equipment historical fault repair characteristic value are as follows: Table 2: Example values ​​of distribution equipment historical fault repair characteristic values ​​in distribution equipment reliability evaluation values

[0043] It needs to be explained that the above-mentioned historical fault characteristic values ​​of distribution equipment and the historical fault repair characteristic values ​​of distribution equipment are compared to obtain the initial reliability assessment level of distribution equipment and the demand response efficiency assessment threshold of distribution equipment, which can accurately assess the reliability level of distribution equipment, help identify the failure mode and frequency of equipment, and predict possible future failures of equipment, so as to take preventive maintenance measures in advance and reduce equipment downtime and production losses. Analysis based on historical data can provide objective basis and scientific support for management decisions, and reasonable maintenance plans and resource allocation strategies can be formulated according to the evaluation results to optimize the operating efficiency and maintenance costs of equipment, respond to changes in equipment operating conditions in a timely manner, and optimize maintenance scheduling and resource utilization.

[0044] Obtain a distribution equipment demand response efficiency data set, and based on the obtained distribution equipment demand response efficiency data set, obtain a distribution equipment demand response efficiency evaluation value through comprehensive analysis. Combined with the distribution equipment demand response efficiency evaluation threshold, re-evaluate the distribution equipment reliability level.

[0045] Specifically, the distribution equipment demand response efficiency data set includes distribution equipment demand response time, distribution equipment demand response power generation efficiency, distribution equipment actual response distribution, and distribution equipment required response distribution. The distribution equipment demand response time refers to the time it takes for distribution equipment to respond from receiving a demand signal or a problem, which measures the distribution equipment's ability to respond quickly to problems or demands. A shorter demand response time means that the equipment can respond to problems or demands more quickly, improving the stability and reliability of the system. The distribution equipment demand response power generation efficiency refers to the power generation efficiency achieved when the equipment is required to respond to demand, which is used to measure the energy utilization efficiency of the distribution equipment when responding to demand. High power generation efficiency means that the equipment can convert energy in a more efficient way when responding to demand, reducing the system operating cost. The distribution equipment actual response distribution refers to the distribution actually taken by the distribution equipment in the face of demand distribution, which is used to evaluate the equipment's ability to respond to problems or demands in actual operation. The distribution equipment required response distribution refers to the ideal response distribution that the distribution equipment needs to take under specific circumstances. It is determined based on the equipment design and operation requirements and is used to evaluate the equipment's ability to respond to problems or demands under ideal circumstances.

[0046] In a specific embodiment, a shorter response time is generally associated with a higher response efficiency because the device is able to quickly and efficiently convert energy and generate electricity. Efficient power generation efficiency generally results in the device being able to provide more electricity with fewer resources, thereby increasing the actual response power distribution. The actual response power distribution may be limited by technical capabilities, changes in market demand, and equipment operating conditions. The amount of electricity that the device can actually provide during a specific period of time may be lower than the expected required response power distribution.

[0047] Specifically, based on the obtained distribution equipment demand response efficiency data set, a comprehensive analysis is performed to obtain the distribution equipment demand response efficiency evaluation value. The specific analysis process is: based on the obtained distribution equipment demand response efficiency data set, a comprehensive analysis is performed to obtain the distribution equipment demand response efficiency evaluation value. The distribution equipment demand response efficiency evaluation value is used as the analysis basis for re-evaluating the reliability level of the distribution equipment.

[0048] In a specific embodiment, the demand response efficiency evaluation value is based on data analysis, which can provide an objective and scientific evaluation basis, avoid bias and error based on subjective judgment, enhance the accuracy and credibility of the evaluation, and comprehensively analyze the demand response efficiency data to comprehensively consider the actual response capability of the distribution equipment under different workloads and operating conditions, which helps managers to fully understand the performance of the equipment in actual operation, identify and solve possible performance bottlenecks or optimization space, and re-evaluation based on the demand response efficiency evaluation value can help predict the future performance and maintenance needs of the equipment, take preventive maintenance measures in time, reduce the risk of sudden equipment failure, and improve the reliability and sustainability of the equipment. The evaluation results can provide important decision-making support for managers, including optimizing the use and operation strategies of equipment, adjusting resource allocation and investment decisions, and formulating more effective maintenance plans, thereby improving equipment operation efficiency and reducing overall costs. Based on data-driven analysis, equipment management strategies and operating procedures can be continuously improved, and regular monitoring and evaluation can be carried out. Managers can adjust strategies in time to improve the overall management efficiency of equipment and achieve continuous optimization and improvement of operation.

[0049] Furthermore, in combination with the distribution equipment demand response efficiency evaluation threshold, the distribution equipment reliability level is re-evaluated, and the specific analysis process is: compare the distribution equipment demand response efficiency evaluation value with the distribution equipment demand response efficiency evaluation threshold; if the distribution equipment demand response efficiency evaluation value is higher than the distribution equipment demand response efficiency evaluation threshold, then the distribution equipment reliability initial evaluation level of the distribution equipment corresponding to the distribution equipment demand response efficiency evaluation value is increased by one level, and the distribution equipment reliability re-evaluation level of the distribution equipment is obtained; if the distribution equipment demand response efficiency evaluation value is equal to the distribution equipment demand response efficiency evaluation threshold, then the distribution equipment reliability initial evaluation level of the distribution equipment corresponding to the distribution equipment demand response efficiency evaluation value remains unchanged, and is recorded as the distribution equipment reliability re-evaluation level of the distribution equipment; if the distribution equipment demand response efficiency evaluation value is lower than the distribution equipment demand response efficiency evaluation threshold, then the distribution equipment reliability initial evaluation level of the distribution equipment corresponding to the distribution equipment demand response efficiency evaluation value is reduced by one level, and the distribution equipment reliability re-evaluation level of the distribution equipment is obtained.

[0050] It should be explained that the comparison between the above-mentioned distribution equipment demand response efficiency evaluation value and the set evaluation threshold can help managers accurately evaluate the response capability of the equipment under the actual workload. An evaluation value higher than the threshold means that the equipment is more efficient in responding to demand and can provide the required power quickly and effectively. When the evaluation value is higher than the threshold, the equipment's initial reliability rating will be increased by one level, which can help managers promptly recognize the good performance of the equipment and may reduce the frequency of unnecessary maintenance or inspection of the equipment, as well as optimize the operation strategy to further improve the service life and efficiency of the equipment. When the evaluation value is lower than the threshold, the equipment's initial reliability rating will be reduced by one level, indicating that the equipment may have lower efficiency or performance issues when responding to demand, which can prompt managers to take necessary maintenance measures in a timely manner to prevent further degradation of equipment performance and reduce potential operational risks. Through regular demand response efficiency evaluation and re-evaluation, it can Using data-driven methods to better optimize equipment maintenance and operation management decisions not only improves management efficiency, but also contributes to long-term equipment operation optimization and performance improvement. Accurately evaluating and adjusting the reliability level of equipment can optimize the allocation and use of resources and reduce maintenance and operating costs. Reasonable equipment management strategies can help organizations effectively utilize resources and improve overall economic benefits. If the initial reliability rating of the distribution equipment is level three, the reliability rating of the distribution equipment will be re-rated to level four after one level increase, and the reliability rating of the distribution equipment will be re-rated to level two after one level decrease. If the initial reliability rating of the distribution equipment is level two, the reliability rating of the distribution equipment will be re-rated to level three after one level increase, and the reliability rating of the distribution equipment will be re-rated to level one after one level decrease. If the initial reliability rating of the distribution equipment is level one, the reliability rating of the distribution equipment will be re-rated to level two after one level increase, and the reliability rating of the distribution equipment will be re-rated to level zero after one level decrease.

[0051] It should be explained that the above-mentioned method obtains the distribution equipment demand response efficiency data set, obtains the distribution equipment demand response efficiency evaluation value through comprehensive analysis, and re-evaluates the distribution equipment reliability level in combination with the distribution equipment demand response efficiency evaluation threshold. This can objectively reflect the response capability of the distribution equipment under different workloads and operating conditions, and enable managers to more accurately evaluate the operating status and performance level of the equipment, thereby promptly discovering potential operating problems or performance degradation. Re-evaluating the reliability level can provide managers with more decision-making support information, including formulating long-term equipment investment and update plans to ensure that the equipment can operate stably and in a long term and meet business needs and standards.

[0052] It should be explained that the above distribution equipment demand response efficiency evaluation value is analyzed in the following specific process: ; In the formula, is the demand response efficiency evaluation value of distribution equipment, is the demand response time of the power distribution equipment, Demand response generation efficiency for distribution equipment, It is the actual response power distribution of the power distribution equipment. The required response power distribution of the power distribution equipment. is the compensation factor for the set distribution equipment demand response time, is the compensation factor for the power generation efficiency of the set distribution equipment demand response, It is the compensation factor for the ratio of the actual response power distribution of the distribution equipment to the required response power distribution of the distribution equipment.

[0053] It should be explained that the above-mentioned distribution equipment demand response efficiency evaluation value is calculated through the distribution equipment demand response time, distribution equipment demand response power generation efficiency, distribution equipment actual response distribution, and distribution equipment required response distribution. The normalization of distribution equipment demand response time, distribution equipment demand response power generation efficiency, distribution equipment actual response distribution, and distribution equipment required response distribution can comprehensively evaluate the response speed and efficiency of distribution equipment in the face of grid demand, which is helpful to evaluate the equipment's response capability and reliability in emergency situations. Analysis of demand response power generation efficiency and required response distribution can help optimize the operation strategy of distribution equipment, improve response efficiency and accuracy, reduce energy waste in the response process, and improve the energy utilization rate of the system. Understanding the distribution equipment demand response efficiency evaluation value can help optimize resource allocation and cost control. Accurate demand response evaluation can effectively plan equipment maintenance plans and operation scheduling, reduce operating costs and improve asset utilization. The distribution equipment demand response efficiency evaluation value provides managers with objective data basis, supports the formulation of long-term equipment management strategies and business decisions, and can help improve the stability and reliability of the power system to cope with the increasingly complex and changing energy market environment. Modern Distribution equipment is usually equipped with monitoring systems and sensors for real-time monitoring of the equipment's operating status and performance parameters, and can record the distribution equipment's demand response time. Electric energy metering equipment is used to measure and record the flow of electric energy in the distribution system, and can provide data on the distribution equipment's demand response power generation efficiency, the distribution equipment's actual response distribution volume, and the required response distribution volume. The set distribution equipment's demand response time, distribution equipment's demand response power generation efficiency, and the compensation factor for the ratio of the distribution equipment's actual response distribution volume to the distribution equipment's required response distribution volume are obtained from the database. Based on historical data, historically measured distribution equipment demand response time, A mapping set of distribution equipment demand response power generation efficiency, the ratio of actual response distribution amount of distribution equipment to required response distribution amount of distribution equipment and compensation factors of demand response time of distribution equipment, demand response power generation efficiency of distribution equipment and the ratio of actual response distribution amount of distribution equipment to required response distribution amount of distribution equipment is obtained to obtain the compensation factors of distribution equipment demand response time, demand response power generation efficiency of distribution equipment and the ratio of actual response distribution amount of distribution equipment to required response distribution amount of distribution equipment corresponding to the current distribution equipment demand response time, demand response power generation efficiency of distribution equipment and the ratio of actual response distribution amount of distribution equipment to required response distribution amount of distribution equipment.

[0054] It needs to be explained that by providing a reliability assessment method and system for distribution equipment, it is possible to fully understand the failure mode, frequency and repair efficiency of the equipment, thereby conducting a more comprehensive and in-depth assessment of the reliability of the equipment, improving the objectivity and scientific nature of the assessment, and avoiding the uncertainty and errors caused by subjective judgment and experience reliance in traditional methods. By establishing a reliability assessment model, it is possible to predict possible future equipment failures and demand response efficiency, which is helpful to take preventive maintenance measures, reduce equipment downtime and production losses, and after conducting an initial reliability assessment and demand response efficiency assessment of the distribution equipment, targeted maintenance and management strategies can be formulated to optimize the operating efficiency and maintenance costs of the equipment and improve the overall efficiency and reliability of the equipment.

[0055] Reference Figure 2 As shown, the second aspect of the present invention provides a distribution equipment reliability evaluation system, including a historical fault characteristic value acquisition module, a historical fault repair characteristic value acquisition module, a reliability initial evaluation level acquisition module and a reliability re-evaluation level acquisition module.

[0056] The historical fault characteristic value acquisition module is used to acquire the historical fault data set of the power distribution equipment, and based on the acquired historical fault data set of the power distribution equipment, comprehensively analyze and obtain the historical fault characteristic value of the power distribution equipment.

[0057] The historical fault repair feature value acquisition module is used to obtain the historical fault repair data set of the distribution equipment, and based on the obtained historical fault repair data set of the distribution equipment, comprehensively analyze and obtain the historical fault repair feature value of the distribution equipment.

[0058] The reliability initial evaluation grade acquisition module is used to import the historical fault characteristic values ​​and historical fault repair characteristic values ​​of the distribution equipment into the distribution equipment reliability evaluation model, and compare them to obtain the distribution equipment reliability initial evaluation grade and the distribution equipment demand response efficiency evaluation threshold.

[0059] The reliability re-evaluation grade acquisition module is used to obtain the distribution equipment demand response efficiency data set. Based on the obtained distribution equipment demand response efficiency data set, a comprehensive analysis is performed to obtain the distribution equipment demand response efficiency evaluation value. Combined with the distribution equipment demand response efficiency evaluation threshold, the reliability grade of the distribution equipment is re-evaluated.

[0060] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A method for evaluating the reliability of power distribution equipment, characterized in that: The following steps are involved: Acquire a historical fault data set of the power distribution equipment, and obtain a historical fault characteristic value of the power distribution equipment through comprehensive analysis based on the acquired historical fault data set of the power distribution equipment; Obtain a historical fault repair data set of power distribution equipment, and based on the obtained historical fault repair data set of power distribution equipment, obtain a historical fault repair feature value of the power distribution equipment through comprehensive analysis; Import the historical fault characteristic values ​​and the historical fault repair characteristic values ​​of the distribution equipment into the distribution equipment reliability assessment model, and compare them to obtain the initial assessment level of the distribution equipment reliability and the evaluation threshold of the distribution equipment demand response efficiency; Obtain a distribution equipment demand response efficiency data set, and based on the obtained distribution equipment demand response efficiency data set, obtain a distribution equipment demand response efficiency evaluation value through comprehensive analysis. Combined with the distribution equipment demand response efficiency evaluation threshold, re-evaluate the distribution equipment reliability level.

2. The method for evaluating the reliability of power distribution equipment according to claim 1, characterized in that: Based on the acquired historical fault data set of the power distribution equipment, the historical fault characteristic value of the power distribution equipment is obtained through comprehensive analysis. The specific analysis process is as follows: Obtain a historical fault data set of the power distribution equipment, which specifically includes the total number of historical faults of the power distribution equipment, the historical fault frequency of the power distribution equipment, and the average downtime caused by the historical faults of the power distribution equipment; Based on the acquired historical fault data set of distribution equipment, a comprehensive analysis is performed to obtain the historical fault characteristic values ​​of distribution equipment. The historical fault characteristic values ​​of distribution equipment are used as the analysis basis for comparing the initial evaluation level of distribution equipment reliability and the evaluation threshold of distribution equipment demand response efficiency.

3. The method for evaluating the reliability of power distribution equipment according to claim 2, characterized in that: The specific analysis process of the historical fault characteristic value of the power distribution equipment is as follows: ； In the formula, is the historical fault characteristic value of the power distribution equipment, is the total number of historical failures of power distribution equipment, is the historical failure frequency of power distribution equipment, The average downtime caused by historical failures of power distribution equipment, is the compensation factor for the total number of historical failures of the power distribution equipment. is the compensation factor of the historical fault frequency of the set power distribution equipment, is the compensation factor for the average downtime caused by historical failures of the set power distribution equipment, and e is a natural constant.

4. The method for evaluating the reliability of power distribution equipment according to claim 1, characterized in that: Based on the obtained distribution equipment historical fault repair data set, a comprehensive analysis is performed to obtain the distribution equipment historical fault repair feature value. The specific analysis process is as follows: Obtain a historical fault repair data set for power distribution equipment, which specifically includes the historical average fault repair time of power distribution equipment, the historical average fault-free time of power distribution equipment, and the historical average repair times required for power distribution equipment to complete a single fault repair; Based on the acquired data set of historical fault repair of distribution equipment, a comprehensive analysis is performed to obtain the characteristic values ​​of historical fault repair of distribution equipment. The characteristic values ​​of historical fault repair of distribution equipment are used as the analysis basis for comparing the initial evaluation level of distribution equipment reliability and the evaluation threshold of distribution equipment demand response efficiency.

5. The method for evaluating the reliability of power distribution equipment according to claim 4, characterized in that: The specific analysis process of the historical fault repair characteristic value of the power distribution equipment is as follows: ； In the formula, is the historical fault repair characteristic value of the power distribution equipment, is the average time for repairing historical faults of power distribution equipment, is the historical mean time between failures of power distribution equipment, The average number of repair times required to repair a single fault in the distribution equipment history. is the compensation factor for the average repair time of historical faults of the power distribution equipment. is the compensation factor of the historical mean time between failures of the power distribution equipment. A compensation factor for the average number of repair times required to complete a single fault repair in the set distribution equipment history.

6. The method for evaluating the reliability of power distribution equipment according to claim 1, characterized in that: The historical fault characteristic values ​​of the power distribution equipment and the historical fault repair characteristic values ​​of the power distribution equipment are introduced into the power distribution equipment reliability evaluation model, and the initial evaluation level of the power distribution equipment reliability and the evaluation threshold of the power distribution equipment demand response efficiency are obtained by comparison. The specific analysis process is as follows: Import the historical fault characteristic values ​​and historical fault repair characteristic values ​​of the distribution equipment into the distribution equipment reliability assessment model, and obtain the distribution equipment reliability assessment value through comprehensive analysis. The distribution equipment reliability assessment value is used as the analysis basis for obtaining the initial assessment level of the distribution equipment reliability and the evaluation threshold of the distribution equipment demand response efficiency; Comparing the reliability evaluation value of the power distribution equipment with the reliability reference evaluation value of the power distribution equipment stored in the database; If the reliability assessment value of the power distribution equipment is lower than the reference reliability assessment value of the power distribution equipment, the reliability of the power distribution equipment corresponding to the reliability assessment value of the power distribution equipment is average, and the initial reliability assessment grade of the power distribution equipment corresponding to the reliability assessment value of the power distribution equipment is marked as level one; If the reliability assessment value of the power distribution equipment is equal to the reference reliability assessment value of the power distribution equipment, the reliability of the power distribution equipment corresponding to the reliability assessment value of the power distribution equipment is good, and the initial reliability assessment level of the power distribution equipment corresponding to the reliability assessment value of the power distribution equipment is marked as level 2; If the reliability assessment value of the power distribution equipment is higher than the reference reliability assessment value of the power distribution equipment, the reliability of the power distribution equipment corresponding to the reliability assessment value of the power distribution equipment is excellent, and the initial reliability assessment level of the power distribution equipment corresponding to the reliability assessment value of the power distribution equipment is marked as level three; The reliability evaluation value of the distribution equipment is compared with the distribution equipment demand response efficiency evaluation threshold corresponding to each distribution equipment reliability evaluation value stored in the database to obtain the distribution equipment demand response efficiency evaluation threshold corresponding to the distribution equipment reliability evaluation value, which represents the distribution equipment demand response efficiency evaluation threshold of the distribution equipment corresponding to the distribution equipment reliability evaluation value.

7. The method for evaluating the reliability of power distribution equipment according to claim 1, characterized in that: The distribution equipment demand response efficiency data set specifically includes the distribution equipment demand response time, the distribution equipment demand response power generation efficiency, the distribution equipment actual response distribution amount, and the distribution equipment required response distribution amount.

8. The method for evaluating the reliability of power distribution equipment according to claim 7, characterized in that: Based on the obtained distribution equipment demand response efficiency data set, a comprehensive analysis is performed to obtain a distribution equipment demand response efficiency evaluation value. The specific analysis process is as follows: Based on the obtained distribution equipment demand response efficiency data set, a comprehensive analysis is performed to obtain the distribution equipment demand response efficiency evaluation value, which is used as the analysis basis for re-evaluating the reliability level of the distribution equipment.

9. The method for evaluating the reliability of power distribution equipment according to claim 8, characterized in that: The reliability level of the power distribution equipment is re-evaluated in combination with the evaluation threshold of the power distribution equipment demand response efficiency. The specific analysis process is as follows: comparing the distribution equipment demand response efficiency evaluation value with the distribution equipment demand response efficiency evaluation threshold; If the distribution equipment demand response efficiency evaluation value is higher than the distribution equipment demand response efficiency evaluation threshold, the distribution equipment reliability initial evaluation level of the distribution equipment corresponding to the distribution equipment demand response efficiency evaluation value is increased by one level to obtain the distribution equipment reliability re-evaluation level of the distribution equipment; If the distribution equipment demand response efficiency evaluation value is equal to the distribution equipment demand response efficiency evaluation threshold, the distribution equipment reliability initial evaluation level of the distribution equipment corresponding to the distribution equipment demand response efficiency evaluation value remains unchanged and is recorded as the distribution equipment reliability re-evaluation level of the distribution equipment; If the distribution equipment demand response efficiency evaluation value is lower than the distribution equipment demand response efficiency evaluation threshold, the distribution equipment reliability initial evaluation level of the distribution equipment corresponding to the distribution equipment demand response efficiency evaluation value is reduced by one level to obtain the distribution equipment reliability re-evaluation level of the distribution equipment.

10. A reliability assessment system for power distribution equipment, characterized in that: The reliability assessment method for power distribution equipment as claimed in any one of claims 1 to 9 comprises a historical fault characteristic value acquisition module, a historical fault repair characteristic value acquisition module, a reliability initial assessment grade acquisition module and a reliability reassessment grade acquisition module, wherein: The historical fault characteristic value acquisition module is used to acquire a historical fault data set of the power distribution equipment, and based on the acquired historical fault data set of the power distribution equipment, comprehensively analyze and obtain the historical fault characteristic value of the power distribution equipment; The historical fault repair characteristic value acquisition module is used to acquire a historical fault repair data set of the power distribution equipment, and based on the acquired historical fault repair data set of the power distribution equipment, comprehensively analyze and obtain the historical fault repair characteristic value of the power distribution equipment; The reliability initial evaluation grade acquisition module is used to import the historical fault characteristic values ​​and the historical fault repair characteristic values ​​of the distribution equipment into the distribution equipment reliability evaluation model, and compare to obtain the distribution equipment reliability initial evaluation grade and the distribution equipment demand response efficiency evaluation threshold; The reliability re-evaluation grade acquisition module is used to obtain a distribution equipment demand response efficiency data set, and based on the obtained distribution equipment demand response efficiency data set, a comprehensive analysis is performed to obtain a distribution equipment demand response efficiency evaluation value, and the distribution equipment reliability grade is re-evaluated in combination with the distribution equipment demand response efficiency evaluation threshold.

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