Method and device for evaluating power supply reliability of overhead line considering distributed power supply

Abstract

The invention provides an overhead line power supply reliability assessment method and device considering a distributed power supply. The method comprises the following steps: acquiring an assessment parameter set of a first line; calculating the evaluation parameter set according to a preset evaluation method to obtain the number of households during first power failure and the number of households during second power failure; obtaining the total number of lines and the total number of users corresponding to the medium-voltage overhead line set; determining a third number of households during power failure according to the total number of lines, the first number of households during power failure and the second number of households during power failure; the third number of households during power failure represents the number of households during power failure of all medium-voltage overhead lines; determining the average power failure time of the users according to the number of households in the third power failure and the total number of the users; and determining the target power supply reliability corresponding to the medium-voltage overhead line set according to the user average power failure time. Various evaluation parameters can be comprehensively considered, so that the accuracy of power supply reliability evaluation of the medium-voltage overhead line is improved.

Description

Technical Field

[0001] The present application relates to the technical field of power distribution networks, and in particular to a method and device for evaluating the reliability of overhead line power supply taking into account distributed power sources. Background Art

[0002] As a crucial component of the power system, medium-voltage overhead lines connect the entire distribution network to users and provide a crucial link in distributing electricity to them. The reliability of their power supply is directly linked to both users and emerging technologies. However, traditional methods for assessing the reliability of medium-voltage overhead lines only consider fault conditions within the overhead lines themselves, such as the number of outages and repair time. These methods fail to fully consider emerging technologies like feeder automation and distributed power sources, making it difficult to accurately assess the reliability of medium-voltage overhead lines.

[0003] Therefore, how to improve the accuracy of power supply reliability assessment of medium voltage overhead lines needs to be solved urgently. Summary of the Invention

[0004] The embodiments of the present application provide a method and device for evaluating the power supply reliability of overhead lines taking into account distributed power sources. By clarifying the relationship between various parameters and power supply reliability, the number of households experiencing power outages under different fault conditions in a medium-voltage overhead line set, as well as the average power outage time of users derived therefrom, are accurately calculated, thereby improving the accuracy of the power supply reliability assessment of the medium-voltage overhead lines.

[0005] In a first aspect, an embodiment of the present application provides a method for evaluating the reliability of overhead line power supply taking into account distributed power sources, the method comprising:

[0006] Obtaining an evaluation parameter set of a first line; the first line is any one medium-voltage overhead line in a preset medium-voltage overhead line set;

[0007] The evaluation parameter set is calculated according to a preset evaluation method to obtain the number of households during a first power outage and the number of households during a second power outage; the first number of households during a power outage represents the number of households that can be transferred when a medium-voltage overhead line fault occurs; the second number of households during a power outage represents the number of households that cannot be transferred when a medium-voltage overhead line fault occurs;

[0008] Obtain the total number of lines and the total number of users corresponding to the medium voltage overhead line set;

[0009] Determine the third number of households during a power outage based on the total number of lines, the first number of households during a power outage, and the second number of households during a power outage; the third number of households during a power outage represents the number of households during a power outage caused by a fault in all medium-voltage overhead lines;

[0010] Determine the average power outage time for users based on the number of households at the third power outage and the total number of users;

[0011] The target power supply reliability corresponding to the medium voltage overhead line set is determined according to the average power outage time of the users.

[0012] In a second aspect, an embodiment of the present application provides an overhead line power supply reliability assessment device taking into account distributed power sources, the device comprising a first acquisition module, a calculation module, a second acquisition module, a first determination module, a second determination module, and a third determination module, wherein:

[0013] The first acquisition module is configured to acquire an evaluation parameter set of a first line; the first line is any one of a set of preset medium voltage overhead lines;

[0014] The calculation module is used to calculate the evaluation parameter set according to a preset evaluation method to obtain the number of households during a first power outage and the number of households during a second power outage; the first number of households during a power outage represents the number of households that can be transferred to a medium-voltage overhead line fault power outage; the second number of households during a power outage represents the number of households that cannot be transferred to a medium-voltage overhead line fault power outage;

[0015] The second acquisition module is used to obtain the total number of lines and the total number of users corresponding to the medium voltage overhead line set;

[0016] The first determining module is used to determine the third number of households during a power outage based on the total number of lines, the first number of households during a power outage, and the second number of households during a power outage; the third number of households during a power outage represents the number of households during a power outage caused by a fault in all medium voltage overhead lines;

[0017] The second determining module is configured to determine an average power outage time for users based on the number of households at the third power outage and the total number of users;

[0018] The third determination module is configured to determine a target power supply reliability corresponding to the set of medium-voltage overhead lines according to the average power outage time of the users.

[0019] In a third aspect, an embodiment of the present application provides an electronic device comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program comprises instructions for executing the steps of any method of the first aspect of the embodiment of the present application.

[0020] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the above-mentioned computer-readable storage medium stores a computer program for electronic data exchange, wherein the above-mentioned computer program enables a computer to execute part or all of the steps described in any method of the first aspect of the embodiment of the present application.

[0021] In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a computer to execute some or all of the steps described in any method of the first aspect of the embodiments of the present application. The computer program product may be a software installation package.

[0022] By implementing the embodiments of the present application, the relationship between various parameters and power supply reliability can be clarified, and the number of households experiencing power outages under different fault conditions of the medium-voltage overhead line set and the average power outage time of users derived therefrom can be accurately calculated, thereby improving the accuracy of the power supply reliability assessment of the medium-voltage overhead line. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0024] Figure 1 This is a system architecture diagram of a power supply reliability assessment system provided in an embodiment of the present application;

[0025] Figure 2 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application;

[0026] Figure 3 This is a scenario architecture diagram of a power supply reliability assessment provided by an embodiment of the present application;

[0027] Figure 4 This is a schematic diagram of a process for power supply reliability assessment provided by an embodiment of the present application;

[0028] Figure 5 1 is a flow chart of a method for evaluating the reliability of overhead line power supply taking into account distributed power sources, provided in an embodiment of the present application;

[0029] Figure 6 This is a flow chart of calculating the number of households during the first power outage provided by an embodiment of the present application;

[0030] Figure 7 This is a schematic diagram of a process for determining target power supply reliability provided by an embodiment of the present application;

[0031] Figure 8 This is a block diagram of the functional modules of an overhead line power supply reliability assessment device taking into account distributed power sources provided in an embodiment of the present application. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0033] The terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish between different objects, not to describe a particular order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0034] It should be understood that the term "and / or" in this document is merely a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document indicates that the associated objects are in an "or" relationship. The "plurality" appearing in the embodiments of this application refers to two or more.

[0035] In the embodiments of the present application, "at least one item" or similar expressions refers to any combination of these items, including any combination of single items or plural items, and refers to one or more, and multiple refers to two or more. For example, at least one item (item) of a, b, or c can represent the following seven situations: a, b, c, a and b, a and c, b and c, a, b, and c. Among them, each of a, b, and c can be an element or a set containing one or more elements.

[0036] The "connection" appearing in the embodiments of the present application refers to various connection methods such as direct connection or indirect connection to achieve communication between devices, and the embodiments of the present application do not impose any limitations on this.

[0037] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0038] The following are the explanations of the relevant terms involved in this application:

[0039] The number of households with transferable power supply during a power outage due to a fault in a medium-voltage overhead line refers to the product of the number of users who should have lost power and the duration of the power outage when a fault occurs in the overhead line. However, due to the existence of conditions for power transfer, some users are able to obtain power through other lines. The number of households at the time of the power outage corresponding to the users who still have no power after deducting the power transfer is

[0040] Number of households affected by power outage due to failure of medium-voltage overhead lines that cannot be transferred: refers to the product of the number of households affected by power outage and the duration of the power outage when a medium-voltage overhead line fails and power cannot be transferred through other lines.

[0041] Line fault outage rate: the ratio of the number or duration of power outages caused by faults of medium voltage overhead lines to the total operating time within a certain period of time.

[0042] As a crucial component of the power system, medium-voltage overhead lines connect the entire distribution network to users and provide a crucial link in distributing electricity to them. The reliability of their power supply is directly linked to both users and emerging technologies. However, traditional methods for assessing the reliability of medium-voltage overhead lines only consider fault conditions within the overhead lines themselves, such as the number of outages and repair time. These methods fail to fully consider emerging technologies like feeder automation and distributed power sources, making it difficult to accurately assess the reliability of medium-voltage overhead lines. Therefore, improving the accuracy of medium-voltage overhead line reliability assessments is an urgent issue.

[0043] To solve the above problems, an embodiment of the present application provides a method and device for evaluating the power supply reliability of overhead lines taking into account distributed power sources, obtaining an evaluation parameter set of a first line; the first line is any medium-voltage overhead line in a preset medium-voltage overhead line set; the evaluation parameter set is calculated according to a preset evaluation method to obtain the number of households at the first power outage and the number of households at the second power outage; the first number of households at the power outage represents the number of households that can be transferred when the medium-voltage overhead line fails; the second number of households at the power outage represents the number of households that cannot be transferred when the medium-voltage overhead line fails; the total number of lines and the total number of users corresponding to the medium-voltage overhead line set are obtained; the third number of households at the power outage is determined based on the total number of lines, the first number of households at the power outage and the second number of households at the power outage; the third number of households at the power outage represents the number of households at the power outage due to all medium-voltage overhead lines; the average power outage time of users is determined based on the third number of households and the total number of users; the target power supply reliability corresponding to the medium-voltage overhead line set is determined based on the average power outage time of users. By clarifying the relationship between various parameters and power supply reliability, the number of households experiencing power outages under different fault conditions of the medium-voltage overhead line set and the resulting average power outage time for users can be accurately calculated, thereby improving the accuracy of power supply reliability assessment of medium-voltage overhead lines.

[0044] For easier understanding, see Figure 1 , Figure 1 This is a system architecture diagram of a power supply reliability assessment system provided in an embodiment of the present application. The system includes a data acquisition layer, a data processing layer, a reliability assessment layer, and a result output layer. In this system architecture, each layer is interconnected through data transmission and processing processes. The data acquisition layer provides basic data to the data processing layer, which integrates parameters and calculates the number of households and average outage duration for various power outages. The reliability assessment layer determines the power supply reliability level, and the result output layer presents the assessment results in the form of reports and visualizations.

[0045] The data collection layer is responsible for collecting various data related to the power supply system and serves as the foundation of the power supply reliability assessment system. Basic line parameters such as the average length and average number of sections of a single overhead line can be obtained from the power system's line ledger or geographic information system. Fault-related parameters such as the overhead line outage rate, average fault troubleshooting, isolation, and restoration time for feeder automation, average fault troubleshooting, isolation, and restoration time for non-feeder automation, and average overhead line fault repair time can also be collected. Automation and distributed power generation-related parameters such as the effective coverage rate of feeder automation, distributed power generation support rate, and distributed power generation availability factor can also be obtained. Furthermore, user-related parameters such as the total number of users served by a single overhead line and the total number of users can be obtained from the user information system.

[0046] The data processing layer organizes, analyzes, and calculates collected data to support reliability assessments. It removes noise, errors, and duplicate information, improving data quality and ensuring accuracy and consistency. It also integrates data from different sources, for example, linking line data, operational data, and user data for comprehensive analysis. It also calculates various power supply reliability indicators, such as outage frequency, outage duration, and power supply reliability rate, based on specific algorithms and formulas.

[0047] Among them, the reliability assessment layer can conduct a comprehensive assessment of the reliability of the power supply system based on the results obtained by the data processing layer. According to the average power outage time of users, the target power supply reliability level corresponding to the medium-voltage overhead line set is determined according to the preset assessment standards (such as different power supply reliability levels corresponding to different power outage time intervals). The calculated target power supply reliability level can be compared with industry standards, historical data or expected targets to analyze the reliability level of the power supply system and identify existing problems and weak links. Various uncertain factors can also be considered to assess the risks that the power supply system may face, predict possible power outage events in the future and their impact, and provide a reference for formulating response measures.

[0048] The result output layer presents the assessment results to users in an intuitive and easy-to-understand manner, facilitating decision-making and the implementation of appropriate measures. This layer generates a detailed power supply reliability assessment report, including the assessment's purpose, methods, results, analysis conclusions, and recommendations. This report provides a comprehensive reference for power supply company managers and technicians. The assessment results are intuitively displayed through charts and graphs, such as using bar charts to compare power supply reliability rates in different regions and line charts to display trends in power supply reliability indicators over time, allowing users to quickly understand the reliability status of the power supply system.

[0049] It can be seen that by evaluating the reliability of the power supply system, the power supply reliability of different areas can be obtained, and power equipment can be reasonably configured according to the power supply reliability. For areas with high reliability requirements, redundant equipment or more advanced technical means can be used. For areas with relatively low reliability requirements, the equipment configuration cost can be reduced while meeting basic needs.

[0050] The following combination Figure 2 The electronic device in the embodiment of the present application is described. Figure 2 is a structural diagram of an electronic device provided in an embodiment of the present application, such as Figure 2 As shown, the electronic device includes one or more processors, a memory, a communication interface and one or more programs, and the processor is communicatively connected with the memory and the communication interface via an internal communication bus.

[0051] Among them, the processor is mainly used for:

[0052] Obtaining an evaluation parameter set of a first line; the first line is any one medium-voltage overhead line in a preset medium-voltage overhead line set;

[0053] The evaluation parameter set is calculated according to a preset evaluation method to obtain the number of households during a first power outage and the number of households during a second power outage; the first number of households during a power outage represents the number of households that can be transferred when a medium-voltage overhead line fault occurs; the second number of households during a power outage represents the number of households that cannot be transferred when a medium-voltage overhead line fault occurs;

[0054] Obtain the total number of lines and the total number of users corresponding to the medium voltage overhead line set;

[0055] Determine the third number of households during a power outage based on the total number of lines, the first number of households during a power outage, and the second number of households during a power outage; the third number of households during a power outage represents the number of households during a power outage caused by a fault in all medium-voltage overhead lines;

[0056] Determine the average power outage time for users based on the number of households at the third power outage and the total number of users;

[0057] The target power supply reliability corresponding to the medium voltage overhead line set is determined according to the average power outage time of the users.

[0058] The one or more programs are stored in the above-mentioned memory and are configured to be executed by the above-mentioned processor, and the one or more programs include instructions for executing any step in the above-mentioned method embodiment.

[0059] Among them, the processor can be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a transistor logic device, a hardware component or any combination thereof. It can implement or execute the various exemplary logic blocks, units and circuits described in conjunction with the disclosure of this application. The processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like. The communication unit can be a communication interface, a transceiver, a transceiver circuit, etc., and the storage unit can be a memory.

[0060] The memory may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. Among them, the non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory may be random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM bus RAM (DR RAM).

[0061] It is understood that the electronic device may include more or fewer structural elements than those in the above structural block diagram, for example, including a power module, physical buttons, Wi-Fi module, speaker, Bluetooth module, sensor, display module, etc., which are not limited here. It is understood that the electronic device may be equipped with Figure 1 The system architecture described.

[0062] For easier understanding, see Figure 3 , Figure 3This is a scenario architecture diagram for power supply reliability assessment provided by an embodiment of the present application. Medium-voltage overhead lines are an important component of the power transmission and distribution network. A medium-voltage overhead line set encompasses multiple medium-voltage overhead lines within a specific area or power supply system. The operating conditions, parameters (such as line length, conductor type, installation method, equipment configuration, etc.) of these lines, as well as the user conditions they serve, are all basic data sources for assessing power supply reliability. For example, different line lengths may affect troubleshooting and repair time, thereby affecting power supply reliability. A power supply reliability assessment system can be used to comprehensively assess the medium-voltage overhead line set in combination with various assessment parameters to determine the current power supply reliability level corresponding to the medium-voltage overhead line set, namely the target power supply reliability. The target power supply reliability is the final output of the power supply reliability assessment system and is presented in a quantitative or graded form. The target power supply reliability can intuitively reflect the current power supply reliability of the medium-voltage overhead line set, providing an important basis for power supply companies to formulate operation and maintenance plans, equipment transformation and upgrade plans, resource allocation strategies, etc. For example, if the assessment results show that the power supply reliability is low, the company can strengthen line inspections, update old equipment, etc. in a targeted manner to improve power supply reliability.

[0063] For easier understanding, see Figure 4 , Figure 4This is a flow chart of a power supply reliability assessment provided by an embodiment of the present application, wherein, starting from "Start", the link "Overhead Line Assessment Parameter Statistics" is entered to collect various assessment parameters related to medium voltage overhead lines, such as line length, equipment status, number of historical faults, and transfer capacity. Then, the "Evaluation of the number of households when the transferable power supply overhead line is out of power" and the "Evaluation of the number of households when the non-transferable power supply overhead line is out of power" are performed respectively. For medium voltage overhead lines with transfer capacity, in the event of a fault, part or all of the load can be transferred through other lines, thereby reducing the scope and duration of the power outage. When evaluating, it is necessary to consider whether the capacity of the transfer line can carry the transfer load, the time required for the transfer operation (including fault detection, switch switching, etc.), and the number of users affected during the transfer process. It should be noted that if the transfer line itself has hidden dangers or fault risks, the transfer may not be effectively achieved. At the same time, different transfer methods (such as manual transfer and automatic transfer) have different effects on the number of households during a power outage. Automatic transfer can usually restore power more quickly due to its fast response speed, reducing the number of households during a power outage. For medium-voltage overhead lines without power transfer capabilities, once a fault occurs, users will face a direct power outage until the fault is repaired. The assessment primarily focuses on fault repair time. The longer the repair time, the greater the number of households experiencing a power outage. Furthermore, factors such as the fault location and severity must be considered. It's important to note that the deployment of repair resources, such as the number of maintenance personnel and the availability of spare parts, directly impacts the repair time. For example, in remote areas, the longer it takes for maintenance personnel and supplies to arrive at the site can increase repair time, leading to a greater number of households experiencing a power outage. Finally, after obtaining the number of households experiencing a power outage for both transferable and non-transferable overhead lines, combined with data such as the total number of users involved in the overhead lines, a specific power supply reliability calculation formula is used to calculate the reliability. Common power supply reliability indicators, such as average user outage duration, can also be used to determine a target power supply reliability assessment level based on this average user outage duration, resulting in a target power supply reliability. "End" indicates the completion of the entire medium-voltage overhead line power supply reliability assessment process.

[0064] After understanding the software and hardware architecture of this application, Figure 5 A method for evaluating the reliability of overhead line power supply taking into account distributed power sources in an embodiment of the present application is described. Figure 5 : This is a flow chart of a method for evaluating the reliability of overhead line power supply taking into account distributed power sources provided in an embodiment of the present application, which specifically includes the following steps:

[0065] Step S501: Acquire a set of evaluation parameters for a first line.

[0066] The first line is any one of a set of preset medium-voltage overhead lines, and the types of the medium-voltage overhead lines in the set of medium-voltage overhead lines include automated lines and non-automated lines. The step of obtaining the evaluation parameter set for the first line specifically includes:

[0067] A1. Obtain the line fault outage rate, first average processing time, second average processing time, average repair time, average number of sections, average number of users, distributed power supply support rate, and distributed power supply availability factor corresponding to the medium voltage overhead line set; the first average processing time represents the average automated fault troubleshooting, isolation, and power restoration time of the medium voltage overhead line; the second average processing time represents the average non-automated fault troubleshooting, isolation, and power restoration time of the medium voltage overhead line;

[0068] A2. Obtaining the total length of all medium-voltage overhead lines in the medium-voltage overhead line set to obtain a first total length;

[0069] A3. Determine an average line length based on the first total length and the number of lines;

[0070] Obtaining the total length of all medium voltage overhead lines corresponding to the automation line in the medium voltage overhead line set to obtain a second total length;

[0071] A4. Determine a first coverage ratio based on a ratio of the second total length to the first total length; the first coverage ratio represents an effective coverage ratio of medium voltage overhead line automation;

[0072] A5. Determine the evaluation parameter set based on the line fault outage rate, the first average processing time, the second average processing time, the average repair time, the average number of segments, the average number of users, the distributed power supply support rate, the distributed power supply availability coefficient, the average line length, and the first coverage rate.

[0073] In a specific embodiment, first, the line fault power outage rate, the first average processing time, the second average processing time, the average repair time, the average number of sections, the average number of users, the distributed power supply support rate, and the distributed power supply availability coefficient corresponding to the medium-voltage overhead line set are obtained. Among them, the line fault power outage rate represents the frequency of power outages caused by faults in the medium-voltage overhead line set within a certain period of time, and is an important indicator for measuring the stability of line operation. For example, in the past year, the number of power outages caused by faults per 100 kilometers of medium-voltage overhead lines in a certain area. The first average processing time represents the average time taken from the occurrence of a fault to fault investigation, isolation, and restoration of power supply for medium-voltage overhead lines with automation functions. The second average processing time represents the average time taken for lines without automation functions to rely on manual investigation and operation to handle faults and restore power supply. The average repair time represents the average time from the start of repair to the complete repair of the line to restore normal operation after the fault occurs. The average number of sections indicates that the medium-voltage overhead line is divided into several sections through equipment such as sectioning switches. The average number of sections reflects the segmentation of the line, and reasonable segmentation helps to reduce the scope of the fault. For example, if a line is divided into five sections on average, only the faulty section can be isolated in the event of a fault, reducing the power outage area. The average number of users indicates the average number of users served by each medium-voltage overhead line and is used to measure the scale of users affected when the line is out of power. Distributed power supply support rate: This indicates the degree of support provided by distributed power sources (such as small solar power stations and wind turbines) for the power supply of medium-voltage overhead lines. For example, the proportion of power provided by distributed power sources to the total power consumption of the line. The distributed power supply availability coefficient indicates the probability that the distributed power source can be put into normal use, which is affected by factors such as equipment failure and weather.

[0074] Next, the total length of all medium-voltage overhead lines in the medium-voltage overhead line set is calculated to obtain a first total length. The first total length is then divided by the number of lines to obtain an average line length. The total length of all automated medium-voltage overhead lines in the medium-voltage overhead line set is calculated to obtain a second total length. A first coverage ratio is then determined based on the ratio of the second total length to the first total length. The first coverage ratio indicates the proportion of automated lines in the medium-voltage overhead line set and reflects the automation level of the lines.

[0075] Finally, the evaluation parameter set was formed by integrating parameters such as line fault outage rate, first average handling time, second average handling time, average repair time, average number of segments, average number of users, distributed generation support ratio, distributed generation availability factor, average line length, and first coverage ratio. This evaluation parameter set covers multiple aspects of information, including line fault conditions, fault handling time, line structure, user situation, impact of distributed generation, and automation level, and serves as the core data basis for subsequent power supply reliability assessments.

[0076] This comprehensive assessment of the key factors influencing the reliability of medium-voltage overhead lines avoids the bias inherent in evaluations based on a single or limited set of indicators, ensuring that the results better reflect the true state of the lines. Furthermore, by distinguishing between automated and non-automated fault handling times and considering the support rate and availability factor of distributed generation, the power supply reliability assessment results are more refined and accurate.

[0077] Step S502: Calculate the evaluation parameter set according to a preset evaluation method to obtain the number of households during the first power outage and the number of households during the second power outage.

[0078] The first number of households during a power outage indicates the number of households that can be transferred to a medium-voltage overhead line fault; the second number of households during a power outage indicates the number of households that cannot be transferred to a medium-voltage overhead line fault; and the step of calculating the evaluation parameter set according to a preset evaluation method to obtain the first number of households during a power outage and the second number of households during a power outage includes:

[0079] B1. determining a first fault frequency based on the line fault outage rate and the average length of the line;

[0080] B2. Divide the average repair time by the average number of segments to obtain a first segment repair time;

[0081] B3. Add the first segment repair time and the first average processing time to obtain a first total time;

[0082] B4. Obtain a first parameter and a second coverage ratio; the first parameter is 1 minus the distributed power supply support ratio; the second coverage ratio is 1 minus the first coverage ratio;

[0083] B5. Multiplying the first total time, the first parameter, the distributed power supply availability coefficient, and the first coverage rate to obtain a first impact factor;

[0084] B6. Add the first segment repair time and the second average processing time to obtain a second total time;

[0085] B7. Multiplying the second total time, the first parameter, the distributed power supply availability coefficient, and the second coverage rate to obtain a second impact factor;

[0086] B8. Determine the number of households during the first power outage based on the first fault frequency, the first impact factor, the second impact factor, and the average number of users;

[0087] B9. Calculate the evaluation parameter set according to the evaluation method to obtain the number of households during the second power outage.

[0088] In a specific embodiment, first, the line fault outage rate and the average line length are multiplied to obtain a first fault frequency, which reflects the frequency of power outages caused by faults in a unit length line. The average repair time is then divided by the average number of segments to obtain a first segment repair time, which represents the repair time of a single line segment. Then, the first segment repair time and the first average processing time are added together to obtain a first total time. Among them, the first average processing time is the average automated fault investigation, isolation, and power restoration time, and the first segment repair time is the repair time of a single segment. By adding the two together, the total time from the occurrence of the fault to the completion of the fault repair under the participation of automation can be obtained, that is, the first total time. This first total time comprehensively considers the time for automated fault handling and line segment repair, reflects the overall time consumed by the automated line in the fault handling process, and is an important parameter for evaluating the impact of power outages on transferable lines.

[0089] Next, subtract the distributed generation support rate from 1 to obtain the first parameter, which is the proportion of distributed generation that is not supported. This reflects the extent to which traditional power supply methods are still needed to ensure power supply in the event of a fault. Subtract the first coverage rate from 1 to obtain the second coverage rate, which is the proportion of non-automated lines in the entire line set. This is used to subsequently distinguish the impact of automated and non-automated lines on the number of households during a power outage. Then, multiply the first total time, the first parameter, the distributed generation availability coefficient, and the first coverage rate to obtain the first impact factor. This first impact factor comprehensively considers factors such as the automated line fault handling time, the impact of distributed generation, and the proportion of automated lines. It measures the comprehensive impact of automated lines on the number of households during a power outage, taking into account distributed generation.

[0090] Then, the first segment repair time and the second average processing time are added together to obtain the second total time. The second average processing time is the average non-automated fault investigation, isolation, and power restoration time. Adding this to the first segment repair time yields the total duration of the non-automated line from the occurrence of the fault to the completion of the fault repair, which is the second total time. This second total time reflects the overall time spent on the non-automated line during the fault handling process and is a key parameter for assessing the impact of power outages on non-transferable lines. The second total time, the first parameter, the distributed power availability factor, and the second coverage rate are then multiplied together to obtain the second impact factor. The second impact factor comprehensively considers factors such as the non-automated line fault handling time, the impact of distributed power sources, and the proportion of non-automated lines, and measures the comprehensive impact of non-automated lines on the number of households during a power outage, taking distributed power sources into account.

[0091] Finally, the number of households during the first power outage is determined based on the first fault frequency, the first impact factor, the second impact factor, and the average number of users. The evaluation parameter set is then calculated using the evaluation method to obtain the number of households during the second power outage.

[0092] As can be seen, by comprehensively considering multiple parameters such as line fault outage rate, average handling time, repair time, number of segments, number of users, distributed generation support ratio, and coverage, it is possible to comprehensively and meticulously assess the power supply reliability of medium-voltage overhead lines, accurately quantify the number of households experiencing power outages due to transferable and non-transferable line faults, and provide accurate data support for power system operation and management. This helps identify weak links in grid operation. By analyzing and optimizing relevant parameters, such as increasing line automation coverage and improving distributed generation support ratio, it can effectively reduce the duration and scope of power outages, thereby improving the overall operational efficiency and stability of the grid.

[0093] For easier understanding, see Figure 6 , Figure 6 This is a flow chart of calculating the number of households during a first power outage according to an embodiment of the present application. The number of households during a first power outage is determined based on the first fault frequency, the first impact factor, the second impact factor, and the average number of users. The specific steps include:

[0094] C1. Obtain the sum of the first impact factor and the second impact factor to obtain a first target impact factor;

[0095] C2. Multiplying the first fault frequency by the first target impact factor to obtain a first target impact amount;

[0096] C3. Multiply the first target impact by the average number of users to obtain the number of households during the first power outage.

[0097] In a specific embodiment, first, the first impact factor and the second impact factor are added together to obtain a first target impact factor. The first target impact factor integrates the impact of automated and non-automated lines, and more comprehensively measures the comprehensive impact of the entire medium-voltage overhead line set on user power outages in the event of a fault. The first fault frequency and the first target impact factor are then multiplied to obtain a first target impact amount. Finally, the first target impact amount is multiplied by the average number of users to obtain the number of households at the time of the first power outage. The number of households at the time of the first power outage accurately quantifies the number of households at the time of power outages caused by the transferable medium-voltage overhead lines in the event of a fault, providing specific data for evaluating the power supply reliability of the medium-voltage overhead line set, helping the power department to understand the actual impact of the fault on users, and providing a basis for formulating operation and maintenance plans and resource allocation.

[0098] It can be seen that by gradually integrating different parameters and comprehensively considering factors such as line faults, line types, the impact of distributed power sources and the number of users, the number of households that can be transferred to the medium-voltage overhead line during a power outage can be accurately calculated, providing important data support for evaluating the power supply reliability of the medium-voltage overhead line.

[0099] The step of calculating the evaluation parameter set according to the evaluation method to obtain the second number of households during power outage includes:

[0100] D1. Divide the first fault frequency by the average number of segments to obtain a second fault frequency;

[0101] D2. Obtain a second parameter and a third parameter; the second parameter is 1 plus the average number of segments; the third parameter is twice the average number of segments;

[0102] D3. Multiply the average repair time by the second parameter and divide the result by the third parameter to obtain a second segment repair time;

[0103] D4. Add the second segment repair time and the first average processing time to obtain a third total time;

[0104] D5. Multiplying the third total time, the first parameter, the distributed power supply availability coefficient, and the first coverage rate to obtain a third impact factor;

[0105] D6. Add the second segment repair time and the second average processing time to obtain a fourth total time;

[0106] D7. Multiplying the fourth total time, the first parameter, the distributed power supply availability coefficient, and the second coverage rate to obtain a fourth impact factor;

[0107] D8. Determine the number of households during the second power outage based on the second fault frequency, the third impact factor, the fourth impact factor, and the average number of users.

[0108] In this specific embodiment, the first fault frequency is divided by the average number of segments to obtain a second fault frequency, which represents the fault frequency of a single line segment. The second parameter is then added to the average number of segments to obtain a second parameter. The reference value is 1. The second parameter comprehensively considers the average number of segments and the reference value and is used in the subsequent calculation of the second segment repair time. Then, the third parameter is calculated by doubling the average number of segments.

[0109] Next, multiply the average repair time by the second parameter and divide it by the third parameter to obtain the second segment repair time. Then, add the second segment repair time and the first average processing time to obtain a third total time. Multiply the third total time, the first parameter, the distributed power supply availability coefficient, and the first coverage ratio to obtain a third impact factor. Then, add the second segment repair time and the second average processing time to obtain a fourth total time. Multiply the fourth total time, the first parameter, the distributed power supply availability coefficient, and the second coverage ratio to obtain a fourth impact factor.

[0110] Finally, the number of households during the second power outage is determined based on the second fault frequency, the third influencing factor, the fourth influencing factor and the average number of users.

[0111] It can be seen that by considering the influence of multiple evaluation parameters, the number of households affected by power outages when a medium-voltage overhead line that cannot be transferred can be accurately quantified, which helps the power department accurately grasp the reliability level of the power supply system and provides key indicators for evaluating power grid performance.

[0112] The step of determining the second number of households during power outage according to the second fault frequency, the third impact factor, the fourth impact factor, and the average number of users comprises:

[0113] E1. Obtain the sum of the third impact factor and the fourth impact factor to obtain a second target impact factor;

[0114] E2. Multiplying the second fault frequency by the second target impact factor to obtain a second target impact amount;

[0115] E3. Multiply the second target impact by the average number of users to obtain the second number of households during power outage.

[0116] In this specific embodiment, the third and fourth impact factors are first added together to obtain the second target impact factor. The third impact factor integrates information such as fault handling time, distributed power supply support, and the proportion of automated lines, taking into account segmentation factors, for automated lines. The fourth impact factor integrates information such as fault handling time, distributed power supply support, and the proportion of non-automated lines, taking into account segmentation factors, for non-automated lines. The sum of the two factors yields the second target impact factor, which comprehensively reflects the impact of medium-voltage overhead lines on user power outages, based on different line types and segmentation conditions.

[0117] Next, the second fault frequency is multiplied by the second target impact factor to obtain the second target impact. This second target impact quantifies the combined impact of line fault frequency and different line types and segments, providing an intermediate parameter for calculating the number of households at the time of a power outage. It more accurately reflects the potential impact of a fault on users and facilitates a more precise assessment of the impact of line faults on users. Finally, the second target impact is multiplied by the average number of users to obtain the number of households at the time of the second power outage.

[0118] It can be seen that by calculating and integrating multiple parameters, various factors of medium-voltage overhead lines are fully considered, including fault frequency, line segmentation, degree of automation, distributed power supply support, etc., making the calculation of the number of households when power outages occur due to faults in non-replaceable medium-voltage overhead lines more accurate, thereby more accurately evaluating the power supply reliability of the entire medium-voltage overhead line collection.

[0119] Step S503: Obtain the total number of lines and the total number of users corresponding to the medium voltage overhead line set.

[0120] Specifically, the local database corresponding to the medium-voltage overhead line collection can be searched to obtain the total number of lines and users. Accurately obtaining the total number of lines and users can help power companies better understand the scale and load of the power grid, providing data support for rational resource allocation, optimizing the grid structure, and improving power supply reliability.

[0121] Step S504, determining the number of households during a third power outage according to the total number of lines, the number of households during the first power outage, and the number of households during the second power outage.

[0122] The third number of households during a power outage represents the number of households during a power outage caused by a fault in all medium voltage overhead lines. The third number of households during a power outage can be obtained by adding the first number of households during a power outage and the second number of households during a power outage, and multiplying the sum by the total number of lines.

[0123] Step S505 , determining the average power outage time for users according to the number of households at the time of the third power outage and the total number of users.

[0124] Specifically, the number of households during the third power outage can be divided by the total number of users to obtain the average power outage duration for each user. It should be noted that the units for the number of households during the first power outage, the number of households during the second power outage, and the number of households during the third power outage are all "household·hour".

[0125] Step S506: determining a target power supply reliability corresponding to the medium voltage overhead line set according to the average power outage time of the users.

[0126] For easier understanding, see Figure 7 , Figure 7 This is a flow chart of determining a target power supply reliability according to an embodiment of the present application. The target power supply reliability of the medium voltage overhead line set is determined based on the average power outage time of the user. The specific steps include:

[0127] F1. Obtain a target coverage range corresponding to the medium-voltage overhead line set; the target coverage range represents the area covered by all medium-voltage overhead lines in the medium-voltage overhead line set;

[0128] F2. Determine an evaluation coefficient based on the target coverage; the larger the target coverage, the larger the evaluation coefficient;

[0129] F3. Determine a target evaluation index value based on the evaluation coefficient and the average power outage time of the user;

[0130] F4. Determine the target evaluation level corresponding to the target evaluation index value based on the mapping relationship between the preset evaluation index value and the evaluation level;

[0131] F5. Determine that the target evaluation level is the target power supply reliability of the medium voltage overhead line set.

[0132] In a specific embodiment, a target coverage range corresponding to a set of medium-voltage overhead lines can be first obtained. This target coverage range represents the area covered by all medium-voltage overhead lines in the set. For example, in a city's power system, the distribution of medium-voltage overhead lines within the city can be clearly visualized using a corresponding geographic information system, thereby determining the area covered. An evaluation coefficient is then determined based on the target coverage range; the larger the target coverage range, the larger the evaluation coefficient.

[0133] Next, the target evaluation index value is determined based on the evaluation coefficient and the average power outage time of the user. For example, the evaluation coefficient and the average power outage time of the user can be directly multiplied to obtain the target evaluation index value. Then, based on the mapping relationship between the preset evaluation index value and the evaluation level, the target evaluation level corresponding to the target evaluation index value is determined. For example, when the target evaluation index value is less than or equal to 10, the target evaluation level is "low", when the target evaluation index value is greater than 10 and less than or equal to 20, the target evaluation level is "medium", and when the target evaluation index value is greater than 20, the target evaluation level is "high", which is not specifically limited here. Finally, the target evaluation level is used as the target power supply reliability of the medium-voltage overhead line set.

[0134] It can be seen that by evaluating the power supply reliability of the medium-voltage overhead line group, multiple factors such as line coverage and average power outage time of users are taken into consideration, making the evaluation results more accurate and comprehensive, and providing strong support for the operation and management of the power system.

[0135] The above mainly introduces the solution of the embodiment of the present application from the perspective of the execution process of the method side. It is understandable that, in order to realize the above functions, the electronic device includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiment provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in a hardware or computer software driven hardware manner depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0136] The embodiment of the present application can divide the functional units of the electronic device according to the above method example. For example, each functional unit can be divided according to each function, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0137] In the case of dividing each functional module into corresponding functional modules, Figure 8 This is a functional module block diagram of an overhead line power supply reliability assessment device taking into account distributed power sources provided in an embodiment of the present application. The overhead line power supply reliability assessment device 800 taking into account distributed power sources includes a first acquisition module 810, a calculation module 820, a second acquisition module 830, a first determination module 840, a second determination module 850, and a third determination module 860, wherein:

[0138] The first acquisition module 810 is configured to acquire an evaluation parameter set of a first line; the first line is any one of a set of preset medium voltage overhead lines;

[0139] The calculation module 820 is configured to calculate the evaluation parameter set according to a preset evaluation method to obtain a first number of households during a power outage and a second number of households during a power outage; the first number of households during a power outage indicates the number of households that can be transferred to a medium-voltage overhead line fault; the second number of households during a power outage indicates the number of households that cannot be transferred to a medium-voltage overhead line fault;

[0140] The second acquisition module 830 is used to obtain the total number of lines and the total number of users corresponding to the medium voltage overhead line set;

[0141] The first determining module 840 is configured to determine a third number of households during a power outage based on the total number of lines, the first number of households during a power outage, and the second number of households during a power outage; the third number of households during a power outage represents the number of households during a power outage caused by a fault in all medium voltage overhead lines;

[0142] The second determining module 850 is configured to determine an average power outage duration for users based on the number of households at the third power outage and the total number of users;

[0143] The third determining module 860 is configured to determine a target power supply reliability corresponding to the medium voltage overhead line set according to the average power outage time of the users.

[0144] Optionally, the types of the medium-voltage overhead lines in the medium-voltage overhead line set include automated lines and non-automated lines. In acquiring the evaluation parameter set of the first line, the first acquisition module 810 is specifically configured to:

[0145] Obtain the line fault outage rate, first average processing time, second average processing time, average repair time, average number of sections, average number of users, distributed power supply support rate, and distributed power supply availability factor corresponding to the medium voltage overhead line set; the first average processing time represents the average automated fault troubleshooting, isolation, and power restoration time of the medium voltage overhead line; the second average processing time represents the average non-automated fault troubleshooting, isolation, and power restoration time of the medium voltage overhead line;

[0146] Obtaining the total length of all medium voltage overhead lines in the medium voltage overhead line set to obtain a first total length;

[0147] determining an average length of the lines according to the first total length and the number of lines;

[0148] Obtaining the total length of all medium voltage overhead lines corresponding to the automation line in the medium voltage overhead line set to obtain a second total length;

[0149] Determining a first coverage rate according to a ratio of the second total length to the first total length; the first coverage rate represents an effective coverage rate of medium voltage overhead line automation;

[0150] The evaluation parameter set is determined based on the line fault outage rate, the first average processing time, the second average processing time, the average repair time, the average number of segments, the average number of users, the distributed power supply support rate, the distributed power supply availability coefficient, the average line length, and the first coverage rate.

[0151] Optionally, in calculating the evaluation parameter set according to a preset evaluation method to obtain the number of households during the first power outage and the number of households during the second power outage, the calculation module 820 is specifically configured to:

[0152] determining a first fault frequency according to the line fault outage rate and the average length of the line;

[0153] Divide the average repair time by the average number of segments to obtain a first segment repair time;

[0154] Adding the first segment repair time and the first average processing time to obtain a first total time;

[0155] Obtain a first parameter and a second coverage ratio; the first parameter is 1 minus the distributed power supply support ratio; the second coverage ratio is 1 minus the first coverage ratio;

[0156] Multiplying the first total time, the first parameter, the distributed power supply availability coefficient, and the first coverage rate to obtain a first impact factor;

[0157] Adding the first segment repair time and the second average processing time to obtain a second total time;

[0158] Multiplying the second total time, the first parameter, the distributed power supply availability coefficient, and the second coverage rate to obtain a second impact factor;

[0159] Determine the number of households during the first power outage according to the first fault frequency, the first impact factor, the second impact factor, and the average number of users;

[0160] The evaluation parameter set is calculated according to the evaluation method to obtain the number of households during the second power outage.

[0161] Optionally, in determining the number of households during the first power outage according to the first fault frequency, the first impact factor, the second impact factor, and the average number of users, the calculation module 820 is further specifically configured to:

[0162] Obtaining the sum of the first impact factor and the second impact factor to obtain a first target impact factor;

[0163] Multiplying the first fault frequency and the first target impact factor to obtain a first target impact amount;

[0164] The first target impact amount is multiplied by the average number of users to obtain the first number of households during power outage.

[0165] Optionally, in calculating the evaluation parameter set according to the evaluation method to obtain the second number of households during power outage, the calculation module 820 is further specifically configured to:

[0166] Dividing the first fault frequency by the average number of segments to obtain a second fault frequency;

[0167] Obtain a second parameter and a third parameter; the second parameter is 1 plus the average number of segments; the third parameter is twice the average number of segments;

[0168] Multiplying the average repair time by the second parameter and dividing the result by the third parameter to obtain a second segmented repair time;

[0169] Adding the second segment repair time and the first average processing time to obtain a third total time;

[0170] Multiplying the third total time, the first parameter, the distributed power supply availability coefficient, and the first coverage rate to obtain a third impact factor;

[0171] Adding the second segment repair time and the second average processing time to obtain a fourth total time;

[0172] Multiplying the fourth total time, the first parameter, the distributed power supply availability coefficient, and the second coverage rate to obtain a fourth impact factor;

[0173] The number of households during the second power outage is determined according to the second fault frequency, the third impact factor, the fourth impact factor, and the average number of users.

[0174] Optionally, in determining the second number of households during power outage according to the second fault frequency, the third impact factor, the fourth impact factor, and the average number of users, the calculation module 820 is further specifically configured to:

[0175] Obtaining the sum of the third impact factor and the fourth impact factor to obtain a second target impact factor;

[0176] Multiplying the second fault frequency and the second target impact factor to obtain a second target impact amount;

[0177] The second target impact amount is multiplied by the average number of users to obtain the second number of households during power outage.

[0178] Optionally, in determining the target power supply reliability of the medium voltage overhead line set according to the average power outage time of the users, the third determining module 860 is specifically configured to:

[0179] Obtaining a target coverage range corresponding to the medium voltage overhead line set; the target coverage range represents the area covered by all medium voltage overhead lines in the medium voltage overhead line set;

[0180] Determine an evaluation coefficient according to the target coverage range; the larger the target coverage range, the larger the evaluation coefficient;

[0181] Determine a target evaluation index value according to the evaluation coefficient and the average power outage time of the user;

[0182] Determine the target evaluation level corresponding to the target evaluation index value based on the mapping relationship between the preset evaluation index value and the evaluation level;

[0183] The target evaluation level is determined to be the target power supply reliability of the medium voltage overhead line set.

[0184] It can be seen that by clarifying the relationship between various parameters and power supply reliability, the number of households affected by power outages under different fault conditions of the medium-voltage overhead line set and the average power outage time of users are accurately calculated, thereby improving the accuracy of the power supply reliability assessment of the medium-voltage overhead line.

[0185] It should be noted that the specific implementation of each operation can adopt the corresponding description of the method embodiment shown above. The overhead line power supply reliability assessment device 800 taking into account distributed power sources can be used to execute the above method embodiment of this application, which will not be repeated here.

[0186] An embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any method described in the above method embodiments, and the above computer includes an electronic device.

[0187] The present application also provides a computer program product comprising a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a computer to perform some or all of the steps of any of the methods described in the above method embodiments. The computer program product may be a software installation package, and the computer may comprise an electronic device.

[0188] It should be noted that, for the above-mentioned various embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations. Those skilled in the art should know that this application is not limited by the order of the actions described, because some steps in the embodiments of the present application can be performed in other orders or simultaneously. In addition, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions, steps, modules or units involved are not necessarily required by the embodiments of the present application.

[0189] In the above embodiments, the embodiments of the present application have different focuses on the description of each embodiment. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0190] Those skilled in the art will appreciate that all or part of the process steps in the above-described method embodiments can be implemented by a computer program instructing the relevant hardware. The program can be stored in a computer-readable storage medium, and when executed, the program can include the process steps in the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

[0191] The steps of the method or algorithm described in the embodiments of the present application can be implemented in hardware or by a processor executing software instructions. The software instructions can be composed of corresponding software modules, which can be stored in RAM, flash memory, ROM, EPROM, electrically erasable programmable read-only memory (EEPROM), registers, hard disks, mobile hard disks, CD-ROMs, or any other form of storage medium well known in the art. An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and storage medium can be located in an ASIC. In addition, the ASIC can be located in a terminal device or a management device. Of course, the processor and storage medium can also be present in a terminal device or a management device as discrete components.

[0192] Those skilled in the art will appreciate that in one or more of the above examples, the functions described in the embodiments of the present application can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, they can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital video disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0193] The modules / units included in the devices and products described in the above embodiments may be software modules / units, hardware modules / units, or partly software modules / units and partly hardware modules / units. For example, for the devices and products applied to or integrated in the chip, the modules / units included therein may all be implemented in the form of hardware such as circuits, or at least part of the modules / units may be implemented in the form of software programs, which run on the processor integrated inside the chip, and the remaining (if any) modules / units may be implemented in the form of hardware such as circuits; for the devices and products applied to or integrated in the chip module, the modules / units included therein may all be implemented in the form of hardware such as circuits, and different modules / units may be located in the same component (such as chip, circuit module, etc.) or different components of the chip module, or at least part of the modules / units may be It is implemented in the form of a software program, which runs on the processor integrated inside the chip module, and the remaining (if any) modules / units can be implemented in the form of hardware such as circuits; for various devices and products applied to or integrated in the terminal equipment, the various modules / units contained therein can be implemented in the form of hardware such as circuits, and different modules / units can be located in the same component (for example, chip, circuit module, etc.) or different components in the terminal equipment, or, at least some modules / units can be implemented in the form of a software program, which runs on the processor integrated inside the terminal equipment, and the remaining (if any) modules / units can be implemented in the form of hardware such as circuits.

[0194] The specific implementation methods described above further illustrate the purpose, technical solutions and beneficial effects of the embodiments of the present application. It should be understood that the above description is only a specific implementation method of the embodiments of the present application and is not intended to limit the scope of protection of the embodiments of the present application. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of the embodiments of the present application should be included in the scope of protection of the embodiments of the present application.

Claims

1. A method for evaluating the reliability of overhead line power supply taking into account distributed power sources, characterized in that: The method comprises: Obtaining an evaluation parameter set of a first line; the first line is any one medium-voltage overhead line in a preset medium-voltage overhead line set; The evaluation parameter set is calculated according to a preset evaluation method to obtain the number of households during a first power outage and the number of households during a second power outage; the first number of households during a power outage represents the number of households that can be transferred when a medium-voltage overhead line fault occurs; the second number of households during a power outage represents the number of households that cannot be transferred when a medium-voltage overhead line fault occurs; Obtain the total number of lines and the total number of users corresponding to the medium voltage overhead line set; Determine the third number of households during a power outage based on the total number of lines, the first number of households during a power outage, and the second number of households during a power outage; the third number of households during a power outage represents the number of households during a power outage caused by a fault in all medium-voltage overhead lines; Determine the average power outage time for users based on the number of households at the third power outage and the total number of users; The target power supply reliability corresponding to the medium voltage overhead line set is determined according to the average power outage time of the users.

2. The method according to claim 1, wherein The types of the medium-voltage overhead lines in the medium-voltage overhead line set include automated lines and non-automated lines, and obtaining the evaluation parameter set of the first line includes: Obtain the line fault outage rate, first average processing time, second average processing time, average repair time, average number of sections, average number of users, distributed power supply support rate, and distributed power supply availability factor corresponding to the medium voltage overhead line set; the first average processing time represents the average automated fault troubleshooting, isolation, and power restoration time of the medium voltage overhead line; the second average processing time represents the average non-automated fault troubleshooting, isolation, and power restoration time of the medium voltage overhead line; Obtaining the total length of all medium voltage overhead lines in the medium voltage overhead line set to obtain a first total length; determining an average length of the lines according to the first total length and the number of lines; Obtaining the total length of all medium voltage overhead lines corresponding to the automation line in the medium voltage overhead line set to obtain a second total length; Determining a first coverage rate according to a ratio of the second total length to the first total length; the first coverage rate represents an effective coverage rate of medium voltage overhead line automation; The evaluation parameter set is determined based on the line fault outage rate, the first average processing time, the second average processing time, the average repair time, the average number of segments, the average number of users, the distributed power supply support rate, the distributed power supply availability coefficient, the average line length, and the first coverage rate.

3. The method according to claim 2, wherein The step of calculating the evaluation parameter set according to a preset evaluation method to obtain the number of households during the first power outage and the number of households during the second power outage includes: Determining a first fault frequency according to the line fault outage rate and the average length of the line; Divide the average repair time by the average number of segments to obtain a first segment repair time; Adding the first segment repair time and the first average processing time to obtain a first total time; Obtain a first parameter and a second coverage ratio; the first parameter is 1 minus the distributed power supply support ratio; the second coverage ratio is 1 minus the first coverage ratio; Multiplying the first total time, the first parameter, the distributed power supply availability coefficient, and the first coverage rate to obtain a first impact factor; Adding the first segment repair time and the second average processing time to obtain a second total time; Multiplying the second total time, the first parameter, the distributed power supply availability coefficient, and the second coverage rate to obtain a second impact factor; Determine the number of households during the first power outage according to the first fault frequency, the first impact factor, the second impact factor, and the average number of users; The evaluation parameter set is calculated according to the evaluation method to obtain the number of households during the second power outage.

4. The method according to claim 3, wherein The determining the number of households during the first power outage according to the first fault frequency, the first influencing factor, the second influencing factor, and the average number of users includes: Obtaining the sum of the first impact factor and the second impact factor to obtain a first target impact factor; Multiplying the first fault frequency and the first target impact factor to obtain a first target impact amount; The first target impact amount is multiplied by the average number of users to obtain the first number of households during power outage.

5. The method according to claim 3, wherein Calculating the evaluation parameter set according to the evaluation method to obtain the second number of households during power outage includes: Dividing the first fault frequency by the average number of segments to obtain a second fault frequency; Obtain a second parameter and a third parameter; the second parameter is 1 plus the average number of segments; the third parameter is twice the average number of segments; Multiplying the average repair time by the second parameter and dividing the result by the third parameter to obtain a second segmented repair time; Adding the second segment repair time and the first average processing time to obtain a third total time; Multiplying the third total time, the first parameter, the distributed power supply availability coefficient, and the first coverage rate to obtain a third impact factor; Adding the second segment repair time and the second average processing time to obtain a fourth total time; Multiplying the fourth total time, the first parameter, the distributed power supply availability coefficient, and the second coverage rate to obtain a fourth impact factor; The number of households during the second power outage is determined according to the second fault frequency, the third impact factor, the fourth impact factor, and the average number of users.

6. The method according to claim 5, wherein The determining the second number of households during power outage according to the second fault frequency, the third influencing factor, the fourth influencing factor, and the average number of users includes: Obtaining the sum of the third impact factor and the fourth impact factor to obtain a second target impact factor; Multiplying the second fault frequency and the second target impact factor to obtain a second target impact amount; The second target impact amount is multiplied by the average number of users to obtain the second number of households during power outage.

7. The method according to any one of claims 1 to 6, wherein: Determining the target power supply reliability of the medium voltage overhead line set according to the average power outage time of the users includes: Obtaining a target coverage range corresponding to the medium voltage overhead line set; the target coverage range represents the area covered by all medium voltage overhead lines in the medium voltage overhead line set; Determine an evaluation coefficient according to the target coverage range; the larger the target coverage range, the larger the evaluation coefficient; Determine a target evaluation index value according to the evaluation coefficient and the average power outage time of the user; Determine the target evaluation level corresponding to the target evaluation index value based on the mapping relationship between the preset evaluation index value and the evaluation level; The target evaluation level is determined to be the target power supply reliability of the medium voltage overhead line set.

8. An overhead line power supply reliability assessment device taking into account distributed power sources, characterized in that: The apparatus includes a first acquisition module, a calculation module, a second acquisition module, a first determination module, a second determination module, and a third determination module, wherein: The first acquisition module is configured to acquire an evaluation parameter set of a first line; the first line is any one of a set of preset medium voltage overhead lines; The calculation module is used to calculate the evaluation parameter set according to a preset evaluation method to obtain the number of households during a first power outage and the number of households during a second power outage; the first number of households during a power outage represents the number of households that can be transferred to a medium-voltage overhead line fault power outage; the second number of households during a power outage represents the number of households that cannot be transferred to a medium-voltage overhead line fault power outage; The second acquisition module is used to obtain the total number of lines and the total number of users corresponding to the medium voltage overhead line set; The first determining module is used to determine the third number of households during a power outage based on the total number of lines, the first number of households during a power outage, and the second number of households during a power outage; the third number of households during a power outage represents the number of households during a power outage caused by a fault in all medium voltage overhead lines; The second determining module is configured to determine an average power outage time for users based on the number of households at the third power outage and the total number of users; The third determination module is configured to determine a target power supply reliability corresponding to the set of medium-voltage overhead lines according to the average power outage time of the users.

9. An electronic device, characterized in that: include: a processor, a memory, a communication interface, and one or more programs; The one or more programs are stored in the memory and configured to be executed by the processor, wherein the programs include instructions for executing the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor is caused to perform the method according to any one of claims 1 to 7.

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