Power distribution network reliability evaluation method considering low-voltage spare power automatic switching

Abstract

The invention relates to the technical field of power distribution networks, in particular to a power distribution network reliability evaluation method and device considering low-voltage spare power automatic switching. Comprising the following steps: acquiring power failure frequency and power failure time of each user in a high-voltage system in a power distribution network and power failure frequency and power failure time of each user in a low-voltage system, and determining a power failure time expected value of the high-voltage system; determining a power failure time expected value and a power failure frequency expected value of the middle-high voltage system according to the power failure frequency and the power failure time of each user in the middle-high voltage system; acquiring power failure frequency and power failure time of each user in a low-voltage system in the power distribution network, and determining a power failure time expected value and a power failure frequency expected value of the low-voltage system; and determining the reliability of the power distribution network according to the power failure time expected value of the middle-high voltage system and the power failure time expected value of the low-voltage system.

Description

Technical Field

[0001] The present application relates to the technical field of distribution networks, and in particular to a distribution network reliability assessment method considering low-voltage standby automatic switching. Background Art

[0002] A distribution network receives electrical energy from the transmission grid or regional power plants and distributes it locally or in stages according to voltage to various users through distribution facilities. It consists of overhead lines, cables, towers, distribution transformers, disconnectors, VAR compensators, and other ancillary facilities, playing a crucial role in distributing electrical energy within the power grid.

[0003] A low-voltage backup automatic transfer device is a device used in low-voltage power distribution systems. Its core function is to automatically or manually transfer the load to the backup power source when the main power source fails or outages, thereby ensuring power continuity and reliability. The device monitors parameters such as voltage and current on both the main and backup power sources to determine whether the main power source is functioning properly. If a main power failure is detected, the device activates a transfer mechanism, transferring the load from the main source to the backup source.

[0004] In a distribution network equipped with a low-voltage standby automatic transfer device, once a problem occurs with the main power supply, the standby automatic transfer device will act quickly to ensure that important loads are not disconnected from power, thereby maintaining the stable operation of the entire distribution network.

[0005] However, there is currently a lack of methods for reliability assessment of distribution networks considering low-voltage backup automatic switching. Summary of the Invention

[0006] Based on this, it is necessary to provide a distribution network reliability assessment method and device considering low-voltage standby automatic switching, which can perform reliability assessment on the distribution network considering low-voltage standby automatic switching, in order to address the above technical problems.

[0007] In a first aspect, the present application provides a distribution network reliability assessment method considering low-voltage standby automatic switching, comprising:

[0008] Obtain the power outage frequency and duration for each user in the high-voltage system of the distribution network, as well as the power outage frequency and duration for each user in the low-voltage system, to determine the expected power outage duration for the medium- and high-voltage systems;

[0009] Determine the expected outage duration and frequency of the medium and high voltage system based on the outage frequency and duration of each user in the system;

[0010] Obtain the power outage frequency and duration of each user in the low-voltage system of the distribution network, and determine the expected power outage duration and frequency of the low-voltage system;

[0011] The reliability of the distribution network is determined based on the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system.

[0012] In one embodiment, obtaining the power outage frequency and power outage duration of each user in the high-voltage system of the distribution network includes:

[0013] Identify each user in the high-voltage system of the distribution network and obtain the power outage frequency and time of each user.

[0014] In one embodiment, determining each user in a high voltage system of a distribution network includes:

[0015] Each load point in the high-voltage system of the distribution network and the users corresponding to each load point are regarded as users in the high-voltage system of the distribution network.

[0016] In one embodiment, determining the reliability of the distribution network based on the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system includes:

[0017] Determine the expected power outage frequency of the distribution network based on the expected power outage frequency of the low-voltage system and the expected power outage frequency of the medium- and high-voltage systems;

[0018] Determine the expected outage time of the distribution network based on the expected outage time of the low-voltage system and the expected outage time of the medium- and high-voltage systems;

[0019] The reliability of the distribution network is determined based on the expected power outage frequency and expected power outage duration of the distribution network.

[0020] In one embodiment, determining the expected power outage frequency of the distribution network based on the expected power outage frequency of the low voltage system and the expected power outage frequency of the medium and high voltage systems includes:

[0021] The sum of the expected power outage frequency value of the low voltage system and the expected power outage frequency value of the medium and high voltage systems is determined as the expected power outage frequency value of the distribution network.

[0022] In one embodiment, determining the expected power outage time of the distribution network based on the expected power outage time of the low voltage system and the expected power outage time of the medium and high voltage systems includes:

[0023] The expected power outage time of the distribution network is determined as the ratio of the sum of the expected power outage frequency and the expected power outage time of the distribution network to the expected power outage time of the distribution network.

[0024] In a second aspect, a distribution network reliability assessment device considering low-voltage standby automatic switching is provided, characterized in that the device comprises:

[0025] An acquisition module is used to obtain the power outage frequency and duration of each user in the high-voltage system of the distribution network, as well as the power outage frequency and duration of each user in the low-voltage system, and determine the expected power outage duration of the medium- and high-voltage systems;

[0026] A medium and high voltage system assessment module is used to determine the expected power outage duration and frequency of the medium and high voltage system based on the power outage frequency and duration of each user in the medium and high voltage system;

[0027] The low-voltage system assessment module obtains the power outage frequency and duration of each user in the low-voltage system of the distribution network, and determines the expected power outage duration and frequency of the low-voltage system;

[0028] The distribution network assessment module is used to determine the reliability of the distribution network based on the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system.

[0029] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0030] Obtain the power outage frequency and duration for each user in the high-voltage system of the distribution network, as well as the power outage frequency and duration for each user in the low-voltage system, to determine the expected power outage duration for the medium- and high-voltage systems;

[0031] Determine the expected outage duration and frequency of the medium and high voltage system based on the outage frequency and duration of each user in the system;

[0032] Obtain the power outage frequency and duration of each user in the low-voltage system of the distribution network, and determine the expected power outage duration and frequency of the low-voltage system;

[0033] The reliability of the distribution network is determined based on the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system.

[0034] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps:

[0035] Obtain the power outage frequency and duration for each user in the high-voltage system of the distribution network, as well as the power outage frequency and duration for each user in the low-voltage system, to determine the expected power outage duration for the medium- and high-voltage systems;

[0036] Determine the expected outage duration and frequency of the medium and high voltage system based on the outage frequency and duration of each user in the system;

[0037] Obtain the power outage frequency and duration of each user in the low-voltage system of the distribution network, and determine the expected power outage duration and frequency of the low-voltage system;

[0038] The reliability of the distribution network is determined based on the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system.

[0039] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0040] Obtain the power outage frequency and duration for each user in the high-voltage system of the distribution network, as well as the power outage frequency and duration for each user in the low-voltage system, to determine the expected power outage duration for the medium- and high-voltage systems;

[0041] Determine the expected outage duration and frequency of the medium and high voltage system based on the outage frequency and duration of each user in the system;

[0042] Obtain the power outage frequency and duration of each user in the low-voltage system of the distribution network, and determine the expected power outage duration and frequency of the low-voltage system;

[0043] The reliability of the distribution network is determined based on the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system.

[0044] The above-mentioned distribution network reliability assessment method and device considering low-voltage standby automatic switching fully evaluates the power outage data of medium- and high-voltage systems and low-voltage systems. It assesses the reliability of the distribution network by collecting and analyzing power outage data, thereby providing decision support for the planning, operation, maintenance and improvement of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 1 is a flow chart of a method for evaluating the reliability of a distribution network considering low-voltage standby automatic switching in one embodiment;

[0047] Figure 2 A schematic flow chart of steps for determining the reliability of a power distribution network in one embodiment;

[0048] Figure 3 A structural block diagram of a distribution network reliability assessment method and apparatus considering low-voltage standby automatic switching in one embodiment;

[0049] Figure 4 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0051] In an exemplary embodiment, Figure 1 As shown, a method for evaluating the reliability of a distribution network considering low-voltage standby automatic switching is provided, and the method is described by taking the application of the method to a computer device as an example, including the following steps 101 to 104.

[0052] S101, obtaining the power outage frequency and power outage time of each user in the high-voltage system of the distribution network, and the power outage frequency and power outage time of each user in the low-voltage system.

[0053] Among them, the power outage data of each customer within the high-voltage system of the distribution network (usually the main part of transmission and distribution) includes the frequency of power outages (i.e. the number of times a customer experienced a power outage) and the duration of each power outage.

[0054] For the high-voltage system in the distribution network, collect power outage records for each user over a certain period of time (such as one or several years). The records should include the date, start time, end time, and affected users of each power outage.

[0055] Furthermore, the collected outage records are collated to calculate the outage frequency (number of outages / time unit) and the average duration of each outage for each user. Outage frequency can be calculated by counting the number of outages a user experiences within a certain time period. Outage duration is calculated by dividing the sum of the durations of each outage by the number of outages to obtain the average outage duration.

[0056] S102, determining an expected power outage time and an expected power outage frequency of the medium and high voltage system according to the power outage frequency and power outage time of each user in the medium and high voltage system.

[0057] Among them, the expected outage duration (EOD) is a key indicator of system reliability. It represents the average duration of each power outage. This value is calculated by dividing the sum of the power outage duration for all users by the number of power outages. In addition to calculating the expected outage duration (EOD), the expected outage frequency (EOF) is also calculated, which is the average number of power outages experienced by each user per year. Together, these two indicators constitute a measure of medium and high voltage system reliability.

[0058] S103, obtaining the power outage frequency and power outage time of each user in the low-voltage system of the distribution network, and determining the expected power outage time and expected power outage frequency of the low-voltage system.

[0059] For the low-voltage system in the distribution network, collect data on all power outages for each user over a specific time period (e.g., one year). The data should include the date, start time, end time, and the range of users affected by the outage.

[0060] Specifically, we collate the outage data for each customer and count the number of outages for each customer. This will form the basis for calculating the outage frequency. We also calculate the duration of each outage, which is the total time from the start of the outage to the restoration of power. The expected outage frequency (EOF) is the average number of outages each customer experiences during the statistical period. This is calculated by summing the total number of outages for all customers and dividing it by the number of customers and the length of the statistical period (usually in years). The formula is: EOF = Total Outages / (Number of Customers * Number of Years).

[0061] S104 , determining the reliability of the distribution network according to the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system.

[0062] The above-mentioned distribution network reliability assessment method considering low-voltage standby automatic switching fully evaluates the power outage data of medium- and high-voltage systems and low-voltage systems. It evaluates the reliability of the distribution network by collecting and analyzing power outage data, thereby providing decision support for the planning, operation, maintenance and improvement of the power grid.

[0063] In one embodiment, obtaining the power outage frequency and power outage time of each user in the high-voltage system of the distribution network includes: determining each user in the high-voltage system of the distribution network, and obtaining the power outage frequency and power outage time of each user.

[0064] Alternatively, these users may be identified from grid operator records, Geographic Information System (GIS) data, or a user database.

[0065] Furthermore, a data collection form or system is designed to record power outage events for each customer. Power outage data can be collected automatically or manually using records from smart meters, SCADA (Supervisory Control and Data Acquisition) systems, fault reporting systems, or customer service centers.

[0066] Accordingly, determining each user in the medium and high voltage system of the distribution network includes: taking each load point in the medium and high voltage system of the distribution network and the user corresponding to each load point as each user in the medium and high voltage system of the distribution network.

[0067] Optionally, all load points within the high-voltage system are identified using the topology and operating data of the power grid. Load points may include different types of electricity consumption areas, such as residential areas, commercial areas, and industrial areas. For each load point, its corresponding user or user group needs to be clearly identified. For example, a load point in a residential area may correspond to multiple households, while a load point in an industrial area may correspond to one or more large enterprises. Integrate the user information corresponding to each load point to ensure accurate correspondence between users and load points. Based on the above correspondence, establish a list of all users in the high-voltage system. Since users may change (such as new users, user migration or cancellation, etc.), this user list needs to be updated and maintained regularly.

[0068] In this embodiment, based on the above process, each load point and corresponding user within the high-voltage system of the distribution network can be accurately identified as "each user within the high-voltage system of the distribution network", ensuring the accuracy of the evaluation and helping power grid operators better understand the user needs and the impact of power outages within their service scope.

[0069] In one embodiment, Figure 2 As shown in Figure 2, the reliability of the distribution network is determined based on the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system, including:

[0070] S201 , determining an expected power outage frequency value of a distribution network according to an expected power outage frequency value of a low voltage system and an expected power outage frequency value of a medium and high voltage system.

[0071] Optionally, the expected outage frequency of the distribution network can be calculated by comprehensively considering the expected outage frequencies of the low-voltage system and the medium- and high-voltage systems. This can be done by taking a weighted average of the expected outage frequencies of the two systems, with weights assigned based on the number of users or loads served by each system. For example, if the medium- and high-voltage system serves a large number of users, its expected outage frequency will have a relatively greater impact on the overall expected outage frequency of the distribution network.

[0072] The calculation formula can be expressed as: Expected value of power outage frequency of distribution network = (expected value of power outage frequency of medium and high voltage system * weight 1) + (expected value of power outage frequency of low voltage system * weight 2)

[0073] Among them, weight 1 and weight 2 are determined according to the importance of the medium and high voltage systems and low voltage systems in the distribution network or the number of users they serve.

[0074] S202 : Determine the expected power outage time of the distribution network according to the expected power outage time of the low voltage system and the expected power outage time of the medium and high voltage systems.

[0075] Alternatively, similar to the expected outage frequency, the expected outage duration of the distribution network can be calculated by comprehensively considering the expected outage durations of the low-voltage system and the medium- and high-voltage systems. Similarly, a weighted average approach can be used, assigning weights based on the importance of each system or the number of users it serves.

[0076] The calculation formula is: expected value of power outage time of distribution network = (expected value of power outage time of medium and high voltage system * weight 1) + (expected value of power outage time of low voltage system * weight 2);

[0077] The method for determining weight 1 and weight 2 is the same as that in S201.

[0078] S203: Determine the reliability of the distribution network according to the expected power outage frequency and the expected power outage duration of the distribution network.

[0079] Optionally, after determining the expected outage frequency and outage duration of the distribution network, the reliability of the distribution network can be further evaluated. The reliability of the distribution network is a comprehensive indicator that reflects the ability of the grid to continuously provide power under various conditions.

[0080] Optionally, the system average outage frequency index (SAIFI) and system average outage duration index (SAIDI) can be calculated. SAIFI represents the average number of outages experienced by each user supplied by the system per unit time (typically one year), while SAIDI represents the average outage duration experienced by each user per unit time.

[0081] Using the calculated expected outage frequency and outage duration of the distribution network, we can obtain approximate values ​​for SAIFI and SAIDI. The lower these two indicators are, the higher the reliability of the distribution network.

[0082] Specifically, the expected power outage frequency value of the distribution network is determined based on the expected power outage frequency value of the low voltage system and the expected power outage frequency value of the medium and high voltage systems, including: determining the sum of the expected power outage frequency value of the low voltage system and the expected power outage frequency value of the medium and high voltage systems as the expected power outage frequency value of the distribution network.

[0083] Among them, the expected power outage frequency of the medium and high voltage system is Calculate using the following formula (1):

[0084]

[0085] Among them, N load is the number of system load points, and N(n) is the number of electrical equipment at the nth load point.

[0086] For example, the collected low-voltage system user equipment failure rate The power outage time caused by low-voltage customers is 1.13 times / 100 households / year. For 0.167 hours:

[0087] Specifically, the expected frequency of power outages in the distribution network The following formula (2) is used for calculation:

[0088]

[0089] Furthermore, based on the expected power outage time of the low-voltage system and the expected power outage time of the medium- and high-voltage systems, the expected power outage time of the distribution network is determined, including: determining the expected power outage time of the distribution network as the ratio between the sum of the expected power outage frequency and the expected power outage time of the distribution network and the expected power outage time of the distribution network.

[0090] Among them, the expected average power outage time of medium and high voltage systems is (hours / household / year), calculated using the following formula (3):

[0091]

[0092] Correspondingly, the reliability of the medium and high voltage system R nom1 The following formula (4) is used for calculation:

[0093]

[0094] Specifically, the ratio of the sum of the expected value of the power outage frequency and the expected value of the power outage time of the distribution network to the expected value of the power outage time of the distribution network is determined as the expected value of the power outage time of the distribution network. The following formula (5) is used for calculation:

[0095]

[0096] Furthermore, considering that the low-voltage fault repair time is reset to 0 after the low-voltage backup automatic switch is installed at the low-voltage load point, the expected value of the average repair time (hours / time) of the high, medium and low voltage systems is as follows (6):

[0097]

[0098] Furthermore, the reliability of high, medium and low voltage systems R nom ' is the following formula (7):

[0099]

[0100] It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0101] Based on the same inventive concept, an embodiment of the present application also provides a device for implementing the above-mentioned method for evaluating the reliability of a distribution network with low-voltage standby automatic switching. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above-mentioned method. Therefore, the specific limitations in one or more embodiments of the device for evaluating the reliability of a distribution network with low-voltage standby automatic switching provided below can be found in the above-mentioned limitations on the method for evaluating the reliability of a distribution network with low-voltage standby automatic switching, and will not be repeated here.

[0102] In an exemplary embodiment, Figure 3 As shown, a distribution network reliability assessment method and device considering low-voltage standby automatic switching is provided, comprising:

[0103] An acquisition module 11 is used to obtain the power outage frequency and duration of each user in the high-voltage system of the distribution network, as well as the power outage frequency and duration of each user in the low-voltage system, and determine the expected power outage duration of the medium- and high-voltage systems;

[0104] The medium and high voltage system evaluation module 12 is used to determine the expected power outage time and expected power outage frequency of the medium and high voltage system based on the power outage frequency and power outage time of each user in the medium and high voltage system;

[0105] The low-voltage system evaluation module 13 obtains the power outage frequency and power outage time of each user in the low-voltage system of the distribution network, and determines the expected power outage time and expected power outage frequency of the low-voltage system;

[0106] The distribution network evaluation module 14 is used to determine the reliability of the distribution network based on the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system.

[0107] In one embodiment, the acquisition module 11 is configured to determine each user in the high voltage system of the distribution network, and obtain the power outage frequency and power outage time of each user.

[0108] In one embodiment, the acquisition module 11 is configured to: use each load point in the high-voltage system of the distribution network and the users corresponding to each load point as each user in the high-voltage system of the distribution network.

[0109] In one embodiment, the distribution network evaluation module 14 is configured to: determine an expected power outage frequency value of the distribution network based on an expected power outage frequency value of the low voltage system and an expected power outage frequency value of the medium and high voltage systems;

[0110] Determine the expected outage time of the distribution network based on the expected outage time of the low-voltage system and the expected outage time of the medium- and high-voltage systems;

[0111] The reliability of the distribution network is determined based on the expected power outage frequency and expected power outage duration of the distribution network.

[0112] In one embodiment, the distribution network evaluation module 14 is configured to determine the sum of the expected power outage frequency of the low voltage system and the expected power outage frequency of the medium and high voltage systems as the expected power outage frequency of the distribution network.

[0113] In one embodiment, the distribution network evaluation module 14 is configured to determine the expected power outage time of the distribution network as the ratio of the sum of the expected power outage frequency and the expected power outage time of the distribution network to the expected power outage time of the distribution network.

[0114] Each module in the above-mentioned distribution network reliability assessment method and apparatus considering low-voltage backup automatic switching can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0115] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 4As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data of a distribution network reliability assessment method considering low-voltage standby automatic switching. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a distribution network reliability assessment method considering low-voltage standby automatic switching is implemented.

[0116] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0117] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0118] Obtain the power outage frequency and duration for each user in the high-voltage system of the distribution network, as well as the power outage frequency and duration for each user in the low-voltage system, to determine the expected power outage duration for the medium- and high-voltage systems;

[0119] Determine the expected outage duration and frequency of the medium and high voltage system based on the outage frequency and duration of each user in the system;

[0120] Obtain the power outage frequency and duration of each user in the low-voltage system of the distribution network, and determine the expected power outage duration and frequency of the low-voltage system;

[0121] The reliability of the distribution network is determined based on the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system.

[0122] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0123] Obtain the power outage frequency and duration for each user in the high-voltage system of the distribution network, as well as the power outage frequency and duration for each user in the low-voltage system, to determine the expected power outage duration for the medium- and high-voltage systems;

[0124] Determine the expected outage duration and frequency of the medium and high voltage system based on the outage frequency and duration of each user in the system;

[0125] Obtain the power outage frequency and duration of each user in the low-voltage system of the distribution network, and determine the expected power outage duration and frequency of the low-voltage system;

[0126] The reliability of the distribution network is determined based on the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system.

[0127] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0128] Obtain the power outage frequency and duration for each user in the high-voltage system of the distribution network, as well as the power outage frequency and duration for each user in the low-voltage system, to determine the expected power outage duration for the medium- and high-voltage systems;

[0129] Determine the expected outage duration and frequency of the medium and high voltage system based on the outage frequency and duration of each user in the system;

[0130] Obtain the power outage frequency and duration of each user in the low-voltage system of the distribution network, and determine the expected power outage duration and frequency of the low-voltage system;

[0131] The reliability of the distribution network is determined based on the expected power outage time of the medium and high voltage systems and the expected power outage time of the low voltage system.

[0132] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0133] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile memory and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processor (DSP), a programmable logic unit (PLC), a data processing logic unit based on quantum computing, an artificial intelligence (AI) processor, and the like.

[0134] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0135] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A distribution network reliability assessment method considering low voltage standby automatic switching, characterized in that: The method comprises: Obtain the power outage frequency and power outage time of each user in the medium and high voltage system of the distribution network, as well as the power outage frequency and power outage time of each user in the low voltage system, and determine the expected value of the power outage time of the medium and high voltage system; Determine the expected power outage time and frequency of the medium and high voltage system according to the power outage frequency and power outage time of each user in the medium and high voltage system; Obtaining the power outage frequency and power outage time of each user in the low-voltage system of the distribution network, and determining the expected power outage time and power outage frequency of the low-voltage system; The reliability of the distribution network is determined according to the expected value of the power outage time of the medium and high voltage system and the expected value of the power outage time of the low voltage system.

2. The method according to claim 1, characterized in that Obtain the power outage frequency and time of each user in the high-voltage system of the distribution network, including: Identify each user in the high-voltage system of the distribution network and obtain the power outage frequency and time of each user.

3. The method according to claim 2, characterized in that The step of determining each user in the high voltage system of the distribution network includes: Each load point in the medium and high voltage system of the distribution network and the user corresponding to each load point are regarded as each user in the medium and high voltage system of the distribution network.

4. The method according to claim 1, characterized in that: Determining the reliability of the distribution network according to the expected value of the power outage time of the medium and high voltage system and the expected value of the power outage time of the low voltage system includes: Determining the expected value of the power outage frequency of the distribution network according to the expected value of the power outage frequency of the low voltage system and the expected value of the power outage frequency of the medium and high voltage systems; Determining the expected power outage time of the distribution network according to the expected power outage time of the low voltage system and the expected power outage time of the medium and high voltage systems; The reliability of the distribution network is determined according to an expected value of the power outage frequency and an expected value of the power outage time of the distribution network.

5. The method according to claim 4, characterized in that Determining the expected power outage frequency of the distribution network according to the expected power outage frequency of the low voltage system and the expected power outage frequency of the medium and high voltage system includes: The sum of the expected power outage frequency value of the low voltage system and the expected power outage frequency value of the medium and high voltage systems is determined as the expected power outage frequency value of the distribution network.

6. The method according to claim 4, characterized in that The method of determining the expected power outage time of the distribution network according to the expected power outage time of the low voltage system and the expected power outage time of the medium and high voltage systems comprises: The ratio of the sum of the expected value of the power outage frequency and the expected value of the power outage time of the distribution network to the expected value of the power outage time of the distribution network is determined as the expected value of the power outage time of the distribution network.

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