Method and apparatus for evaluating power supply reliability of automated power distribution network, and device and medium

Abstract

The present invention relates to the technical field of automated power distribution networks, and in particular to a method and apparatus for evaluating the power supply reliability of an automated power distribution network, and a device and a medium. The method comprises: when a line in an automated power distribution network has a fault, when a load point is located in a fault section, outage time being fault repair time, and when the load point is not located in the fault section, the outage time being the sum of fault isolation time and fault search time, wherein the fault isolation time and the fault search time are separately determined on the basis of the status of switch automation; calculating annual outage time of the load point on the basis of the outage time of the load point; determining an annual fault rate of the load point on the basis of the fault rates of faults; determining evaluation indicators of the automated power distribution network; and determining power supply reliability evaluation results of the automated power distribution network under the evaluation indicators on the basis of the annual fault rates and the annual outage time corresponding to load points in the automated power distribution network. Compared with a conventional fault mode consequence analysis method, the method is more practical in actual projects and has higher operability.

Description

Automated power distribution network power supply reliability evaluation method, device, equipment and medium TECHNICAL FIELD

[0001] The application belongs to the technical field of automated power distribution network, and particularly relates to an automated power distribution network power supply reliability evaluation method, device, equipment and medium. BACKGROUND

[0002] The power distribution network is increasingly facing the problems of large-scale access of multiple types of distributed energy, two-way interaction between users and the power distribution network, wide application of power electronic devices, and further improvement of the requirements of the whole society on safe and economic operation of the power grid and power quality. The planning and construction scheme, operation and control mode and production management mode of the traditional power distribution network have been unable to meet the needs of the current intelligent development of the power distribution network. The intelligentization of the power distribution network needs to organically integrate advanced information communication, power electronics and intelligent control technologies, realize the overall coordination and optimization of the power distribution primary network construction and power distribution automation, protection, communication and other technologies, improve the technical level and coverage rate of power distribution automation, and realize large-scale grid connection and efficient utilization of distributed energy and efficient management of demand side response. Researching a scientific, reasonable, economical, practical and efficient optimal power distribution network typical configuration scheme will be an inevitable choice and effective way for the current intelligent development and construction of the power distribution network. In the prior art, the power supply reliability of the power distribution network is evaluated based on the fault mode consequence analysis method, but this method ignores the landing ambiguity and has poor operability. The actual project needs to calculate the system reliability of the switch under different power distribution terminal schemes in different wiring modes, and the traditional method cannot meet the requirements. TECHNICAL PROBLEM

[0003] The purpose of the present application is to provide an automated power distribution network power supply reliability evaluation method, device, equipment and medium to solve the problem that in the prior art, the power supply reliability of the power distribution network is evaluated based on the fault mode consequence analysis method, which ignores the landing ambiguity and has poor operability. The actual project needs to calculate the system reliability of the switch under different power distribution terminal schemes in different wiring modes, and the traditional method cannot meet the requirements. TECHNICAL SOLUTION

[0004] In order to achieve the above-mentioned purpose, the present application adopts the following technical scheme:

[0005] In the first aspect of the present application, an automated power distribution network power supply reliability evaluation method is provided, comprising the following steps:

[0006] When a line in the automated power distribution network fails, the positional relationship between the load point and the fault interval is judged. When the load point is located in the fault interval, the power outage time is the fault repair time. When it is located in the non-fault interval, the power outage time is the sum of the fault isolation time and the fault search time. The fault isolation time and the fault search time are determined based on the automatic state of the switch respectively.

[0007] calculating the annual outage time of the load point based on the outage time of the load point;

[0008] determining the failure rate of each fault, and determining the annual failure rate of the load point based on the failure rate of each fault;

[0009] determining each evaluation index of the automated power distribution network;

[0010] determining the power supply reliability evaluation result of the automated power distribution network under each evaluation index based on the annual failure rate and the annual outage time corresponding to each load point in the automated power distribution network.

[0011] As an optional solution of the present application, in the step of determining each evaluation index of the automated power distribution network, the evaluation index at least includes:

[0012] system average interruption frequency index SAIFI, system average interruption duration index SAIDI, customer average interruption duration index CAIDI and average service availability index ASAI.

[0013] As an optional solution of the present application, the fault isolation time and the fault search time are determined based on the switch automation state, including:

[0014] The fault search time is equal to the product of the unit line fault search time and the search line length. The search line length is 0 if the sectionalizing switch at both ends of the fault point is installed with an automation terminal. If some sectionalizing switches in the line are installed with automation terminals, the search line length is the length from the first end of the line or the previous automation terminal to the first end of the fault section.

[0015] The fault isolation time is equal to the sum of the switch or circuit breaker opening time and the switch or circuit breaker closing time. When the switch or circuit breaker is not three remote, the switch or circuit breaker opening time is 0.03 h. When the switch or circuit breaker is three remote, the switch or circuit breaker opening time is 0.01 h. When the switch or circuit breaker is not three remote, the switch or circuit breaker closing time is 0.03 h. When the switch or circuit breaker is three remote, the switch or circuit breaker closing time is 0.01 h.

[0016] As an optional solution of the present application, the annual outage time of the load point is determined based on the fault outage time of the load point, including:

[0017]

[0018] wherein, U i represents the annual outage time of the load point i; k represents the total type of the fault; t ij represents the fault outage time; λj Failure rate of failure j.

[0019] As an optional solution of the present application, the failure rates of various failures are determined, and the annual failure rate of the load point is determined based on the failure rates of various failures, comprising:

[0020]

[0021] In the formula: λ i Annual failure rate of load point i; λ j Failure rate of failure j; k represents the total type of failure.

[0022] As an optional solution of the present application, the power supply reliability evaluation results of the automated distribution network under various evaluation indexes are determined based on the annual failure rates and annual outage time of various load points in the automated distribution network; wherein, the system average outage frequency index SAIFI, the system average outage duration SAIDI, the user average outage duration CAIDI and the average power supply availability index ASAI are calculated according to the following formula respectively:

[0023]

[0024]

[0025]

[0026]

[0027] Wherein, N i represents the load point i, K represents the total number of load points, k represents the total type of failure, λ j Failure rate of failure j; t ij represents the failure outage time.

[0028] As an optional solution of the present application, the failure repair time is the average value of the failure repair time statistical value of the failure occurrence area.

[0029] The second aspect of the present application provides an automated distribution network power supply reliability evaluation device, comprising:

[0030] The first calculation module is used for judging the positional relationship between the load point and the failure interval when the line in the automated distribution network fails; when the load point is located in the failure interval, the outage time is the failure repair time; when located in the non-failure interval, the outage time is the sum of the failure isolation time and the failure search time; wherein, the failure isolation time and the failure search time are determined based on the switch automation state respectively;

[0031] The second calculation module is used for calculating the annual outage time of the load point based on the outage time of the load point.

[0032] a third calculation module, configured to determine a failure rate of each fault, and determine an annual failure rate of the load point based on the failure rate of each fault;

[0033] an index determination module, configured to determine each evaluation index of the automated power distribution network;

[0034] an evaluation module, configured to determine a power supply reliability evaluation result of the automated power distribution network under each evaluation index based on the annual failure rate and the annual outage time corresponding to each load point in the automated power distribution network.

[0035] In a third aspect, the present application provides an electronic device, comprising a processor and a memory, wherein the processor is configured to execute a computer program stored in the memory to implement the power supply reliability evaluation method of the automated power distribution network.

[0036] In a fourth aspect, the present application provides a computer readable storage medium, wherein the computer readable storage medium stores at least one instruction, and the at least one instruction is executed by a processor to implement the power supply reliability evaluation method of the automated power distribution network. Advantages

[0037] Compared with the prior art, the present application has the following advantages:

[0038] The power supply reliability evaluation method of the automated power distribution network provided in the present application determines the outage time after the fault by the position relationship between the fault interval and the load point, and combines the switch automation state, corrects the load point power supply reliability index calculation formula by introducing the switch automation state factor, and improves the traditional fault mode consequence analysis method. The reliability of the system under different wiring modes is considered, and compared with the traditional fault mode consequence analysis method, the present application is more practical and has stronger operability in actual projects. The automated power distribution network power supply reliability evaluation device, electronic device and computer readable storage medium provided in the present application also solve the problems proposed in the background part. BRIEF DESCRIPTION OF DRAWINGS

[0039] The drawings constituting a part of the specification of the present application are used to provide further understanding of the present application, the schematic embodiments of the present application and the description thereof are used to explain the present application, and do not constitute an improper limitation on the present application. In the drawings:

[0040] Fig. 1 is a flowchart of the power supply reliability evaluation method of the automated power distribution network according to an embodiment of the present application;

[0041] Fig. 2 is a test model topology diagram of an overhead line according to an embodiment of the present application;

[0042] Fig. 3 is a structural block diagram of the power supply reliability evaluation device of the automated power distribution network according to an embodiment of the present application;

[0043] Fig. 4 is a structural block diagram of an electronic device according to an embodiment of the present application. Best Mode for Carrying Out the Invention

[0044] The present application will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0045] The following detailed description is exemplary and is intended to provide further explanation of the present application. Unless otherwise defined, all technical terms used in the present application have the same meanings as those generally understood by those skilled in the art. The terms used in the present application are only intended to describe specific embodiments of the present application, and are not intended to limit the exemplary embodiments according to the present application.

[0046] Embodiment 1

[0047] As shown in Fig. 1, an automated power distribution network power supply reliability evaluation method includes the following steps:

[0048] S1, when a line in the automated power distribution network fails, the positional relationship between the load point and the fault interval is determined; when the load point is located in the fault interval, the outage time is the fault repair time; when located in the non-fault interval, the outage time is the sum of the fault isolation time and the fault search time; wherein the fault isolation time and the fault search time are determined based on the switch automation state;

[0049] S2, the annual outage time of the load point is calculated based on the outage time of the load point;

[0050] S3, the failure rate of each fault is determined, and the annual failure rate of the load point is determined based on the failure rate of each fault;

[0051] S4, each evaluation index of the automated power distribution network is determined;

[0052] S5, based on the annual failure rate and the annual outage time corresponding to each load point in the automated power distribution network, the power supply reliability evaluation result of the automated power distribution network under each evaluation index is determined.

[0053] The automated power distribution network power supply reliability evaluation method proposed in the present application is based on the improved fault mode consequence analysis method, the load point power supply reliability index calculation formula is corrected by introducing the switch automation state factor, the traditional fault mode consequence analysis method is improved, the reliability of the system under different wiring modes is considered, and compared with the guide, it is more practical and more operable in actual projects.

[0054] Optionally, an automated power distribution network power supply reliability evaluation method includes the following steps:

[0055] S10, judging the positional relationship between the load point and the fault interval after a line fault in the automated power distribution network; when the load point is located in the fault interval, the power outage time is the fault repair time; when located in the non-fault interval, the power outage time is the sum of the fault isolation time and the fault search time; wherein the fault isolation time and the fault search time are determined based on the switch automation state;

[0056] Specifically, the fault isolation time and the fault search time are determined based on the switch automation state, comprising:

[0057] The fault search time is equal to the product of the unit line fault search time and the search line length. The fault search starts from the line head. If the sectional switches at both ends of the fault point have installed automation terminals, the search line length is 0. If part of the sectional switches in the line have installed automation terminals, the search line length is the length from the line head or the previous automation terminal to the head of the fault section. The fault isolation time is equal to the sum of the switch or circuit breaker opening time and the switch or circuit breaker closing time. When the switch or circuit breaker is not three remote, the switch or circuit breaker opening time is 0.03h. When the switch or circuit breaker is three remote, the switch or circuit breaker opening time is 0.01h. When the switch or circuit breaker is not three remote, the switch or circuit breaker closing time is 0.03h. When the switch or circuit breaker is three remote, the switch or circuit breaker closing time is 0.01h.

[0058] The fault repair time is the average value of the fault repair time statistics value of the fault occurrence area.

[0059] Optionally, the fault search time is equal to the product of the unit line fault search time and the search line length, and the formula is as follows:

[0060] t ij1 = t a × l ij

[0061] In the formula: t ij1 is the fault search time of the load point i under the fault j; t a is the average unit line fault search time; l ij is the fault search length of the load point i under the fault j. The fault search starts from the line head. If the sectional switches at both ends of the fault point have installed automation terminals, the fault section can be quickly positioned, and the fault search length l ij is 0. If part of the sectional switches in the line have installed automation terminals, the fault search length l ij is equal to the length from the line head or the previous automation terminal to the head of the fault section.

[0062] As an example, the number of automated terminals can be calculated according to the actual project loop.

[0063] In an optional embodiment, the fault isolation time calculation formula is as follows:

[0064] t ij2 =t o + t c

[0065] In the formula: t ij2 is the fault isolation time of the load point i under the fault j; t o is the opening time of the switch or circuit breaker; t c is the closing time of the switch or circuit breaker.

[0066] In an optional embodiment, the on-off time of the switch or circuit breaker is determined by its automation degree, and is specifically as follows:

[0067]

[0068]

[0069] The fault repair time t ij3 is the fault repair time of the load point i under the fault j, and is the average value of the fault repair time statistical value of the fault occurrence area.

[0070] According to whether the load point i is located in the fault interval, the calculation formula of the fault outage time t ij is as follows:

[0071]

[0072] S20, calculating the annual outage time of the load point based on the outage time of the load point;

[0073] Specifically, the annual outage time of the load point is determined based on the fault outage time of the load point, including:

[0074]

[0075] In the formula, U i represents the annual outage time of the load point i; k represents the total type of the fault; t ij represents the fault outage time; λ j is the fault rate of the fault j.

[0076] S30, determining the fault rate of each fault, and determining the annual fault rate of the load point based on the fault rate of each fault;

[0077] Specifically, the fault rate of each fault is determined, and the annual fault rate of the load point is determined based on the fault rate of each fault, including:

[0078]

[0079] wherein: λ i is the annual failure rate of load point i; λ j is the failure rate of failure j; k represents the total type of failure.

[0080] S40, determine each evaluation index of the automated power distribution network;

[0081] The evaluation index at least includes:

[0082] The system average interruption frequency index SAIFI, the system average interruption duration SAIDI, the customer average interruption duration CAIDI and the average service availability index ASAI.

[0083] Specifically:

[0084] The system average interruption frequency index SAIFI (System average interruption frequency index) is the average number of power outages per user per unit time, which can be represented by the ratio of the total number of user power outages to the number of users.

[0085] The system average interruption duration SAIDI (System average interruption duration index) is the average duration of power outages per user per year, which can be represented by the ratio of the total user outage time to the number of users.

[0086] The customer average interruption duration CAIDI (Customer average interruption duration index) is represented by the ratio of the total user outage time to the total number of user power outages.

[0087] The average service availability index ASAI (Average service availability index) is represented by the ratio of the total actual power supply time to the total required power supply time.

[0088] S50, based on the annual failure rate and annual outage time corresponding to each load point in the automated power distribution network, determine the power supply reliability evaluation result of the automated power distribution network under each evaluation index.

[0089] The system average interruption frequency index SAIFI, the system average interruption duration SAIDI, the customer average interruption duration CAIDI and the average service availability index ASAI are calculated according to the following formula respectively:

[0090]

[0091]

[0092]

[0093]

[0094] where N i represents the load point i, K represents the total number of load points, k represents the total type of faults, λ j is the failure rate of fault j, t ij represents the outage time of the fault.

[0095] In order to further introduce the scheme, an example analysis is provided below:

[0096] Fig. 2 is a test model of overhead lines in a certain city A type power supply area, the line length is 3km, the network structure is three segmented single contact, including 4 load points, each load point has 6 users, a total of 24 users, which are powered by double power supply. The outlet circuit breaker CB0 of the substation has realized three remote. It is assumed that the closing and opening operation time of each switch is equal.

[0097] Taking load point LD1 as an example, when the full three remote configuration is realized, the fault mode consequence analysis table is established, as shown in Table 1.

[0098] Table 1 Fault mode and consequence analysis table of load point LD1 in full three remote

[0099]

[0100] Similarly, the reliability index of each load point in full three remote is shown in Table 2.

[0101] Table 2 Fault mode and consequence analysis table of each load point in full three remote

[0102]

[0103] According to Tables 1-3, the power supply reliability of the system under different distribution terminal configurations of switches is calculated, and the system reliability index is shown in Table 4. It can be seen from Table 4 that the system power supply reliability is the highest in the full three remote case and the lowest in the full manual case, which conforms to the fact that the implementation of the distribution automation terminal improves the line power supply reliability. The traditional fault mode consequence analysis method can only calculate the system power supply reliability in the full manual case. The power supply reliability evaluation method of the distribution system based on distribution automation adopted in the present scheme can calculate the system power supply reliability when the switches adopt different distribution terminal configuration schemes, has higher accuracy and more obvious difference.

[0104] Table 3 System reliability index in full three remote

[0105]

[0106] Table 4: System reliability index of each terminal configuration scheme

[0107]

[0108] Embodiment 2

[0109] As shown in FIG. 3, based on the same inventive concept as the above embodiments, the present application also provides an automatic power distribution network power supply reliability evaluation device, comprising:

[0110] A first calculation module is configured to determine the positional relationship between a load point and a fault interval when a line in the automatic power distribution network fails; when the load point is located in the fault interval, the outage time is the fault repair time; when located in the non-fault interval, the outage time is the sum of the fault isolation time and the fault search time; wherein the fault isolation time and the fault search time are determined based on the switch automation state;

[0111] A second calculation module is configured to calculate the annual outage time of the load point based on the outage time of the load point;

[0112] A third calculation module is configured to determine the failure rate of each fault, and determine the annual failure rate of the load point based on the failure rate of each fault;

[0113] An index determination module is configured to determine each evaluation index of the automatic power distribution network;

[0114] An evaluation module is configured to determine the power supply reliability evaluation result of the automatic power distribution network under each evaluation index based on the annual failure rate and the annual outage time of each load point in the automatic power distribution network.

[0115] Embodiment 3

[0116] As shown in FIG. 4, the present application also provides an electronic device 100 for implementing the automatic power distribution network power supply reliability evaluation method of any of the above embodiments;

[0117] The electronic device 100 comprises a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.

[0118] The memory 101 can be used to store the computer program 103, and the processor 102 can realize the steps of the automatic power distribution network power supply reliability evaluation method of embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101.

[0119] The memory 101 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program (such as a sound playing function, an image playing function, etc.) required by a function, etc.; and the data storage area can store data (such as audio data) created according to the use of the electronic device 100, etc. In addition, the memory 101 can include a non-volatile memory, for example, a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device.

[0120] The at least one processor 102 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor 102 can be a microprocessor or the processor 102 can also be any conventional processor, etc. The processor 102 is a control center of the electronic device 100, and connects all parts of the electronic device 100 through various interfaces and lines.

[0121] The memory 101 in the electronic device 100 stores a plurality of instructions to implement an automated power distribution network power supply reliability evaluation method, and the processor 102 can execute the plurality of instructions to implement:

[0122] When a line in the automated power distribution network fails, the positional relationship between the load point and the fault interval is determined; when the load point is located in the fault interval, the outage time is the fault repair time; when located in the non-fault interval, the outage time is the sum of the fault isolation time and the fault search time; wherein the fault isolation time and the fault search time are determined based on the switch automation state;

[0123] The annual outage time of the load point is calculated based on the outage time of the load point;

[0124] The failure rate of each fault is determined, and the annual failure rate of the load point is determined based on the failure rate of each fault;

[0125] Each evaluation index of the automated power distribution network is determined;

[0126] Based on the annual failure rate and the annual outage time of each load point in the automated distribution network, the power supply reliability evaluation result of the automated distribution network under each evaluation index is determined.

[0127] Embodiment 4

[0128] The modules / units integrated by the electronic device 100, if realized in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can also be instructed by a computer program to relevant hardware to be completed, and the computer program can be stored in a computer readable storage medium. The computer program can realize the steps of each method embodiment described above when executed by a processor. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate forms, etc. The computer readable medium can include any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, and read-only memory (ROM).

[0129] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.

[0130] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of the flows and / or blocks in the flowchart and / or block diagram can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one or more flows in the flowchart and / or one or more blocks in the block diagram.

[0131] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart or flowsheets and / or block or blocks of the block diagrams.

[0132] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheets and / or block or blocks of the block diagrams.

[0133] In this description, references to "one embodiment", "an example", "certain examples" etc. mean that the particular feature, structure, material or characteristic being described is included in at least one embodiment or example of the application. The appearances of an item in various places in this specification are not necessarily referring to the same embodiment or example. Moreover, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0134] Finally, it should be noted that the above-mentioned embodiments are merely given as an illustration of the technical solution of the present application, and are not intended to limit the present application. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific implementation of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, and any modification or replacement thereof should be covered within the scope of protection of the claims of the present application.

Claims

1. A method for automated reliability assessment of power supply in a power distribution network, characterized by, The method comprises the following steps: When a line in the automated power distribution network fails, the positional relationship between the load point and the fault section is determined; when the load point is in the fault section, the outage time is the fault repair time; When the load point is in the non-fault section, the outage time is the sum of the fault isolation time and the fault search time; wherein, the fault isolation time and the fault search time are determined based on the switch automation state; The annual outage time of the load point is calculated based on the outage time of the load point; The fault rate of each fault is determined, and the annual fault rate of the load point is determined based on the fault rate of each fault; Each evaluation index of the automated power distribution network is determined; Based on the annual fault rate and the annual outage time corresponding to each load point in the automated power distribution network, the power supply reliability evaluation result of the automated power distribution network under each evaluation index is determined.

2. The automated power distribution grid power supply reliability assessment method of claim 1, wherein, In the step of determining each evaluation index of the automated power distribution network, the evaluation index at least comprises: System average interruption frequency index SAIFI, system average interruption duration SAIDI, customer average interruption duration CAIDI and average service availability index ASAI.

3. The automated power distribution network power supply reliability assessment method according to claim 1, characterized in that, The fault isolation time and the fault search time are determined based on the switch automation state, comprising: The fault search time is equal to the product of the unit line fault search time and the search line length. The fault search starts from the first end of the line. If the sectional switches at both ends of the fault point are installed with automation terminals, the search line length is 0. If part of the sectional switches in the line are installed with automation terminals, the search line length is the length from the first end of the line or the previous automation terminal to the first end of the fault section; The fault isolation time is equal to the sum of the switch or circuit breaker opening time and the switch or circuit breaker closing time. When the switch or circuit breaker is not three remote, the switch or circuit breaker opening time is 0.03h. When the switch or circuit breaker is three remote, the switch or circuit breaker opening time is 0.01h. When the switch or circuit breaker is not three remote, the switch or circuit breaker closing time is 0.03h. When the switch or circuit breaker is three remote, the switch or circuit breaker closing time is 0.01h.

4. The automated power distribution network power supply reliability assessment method according to claim 1, characterized in that, Based on the fault outage time of the load point, the annual outage time of the load point is determined, comprising: where U i represents the annual outage time of the load point i; k represents the total type of failure; t ij represents the failure outage time; λ j is the failure rate of failure j.

5. The automated power distribution network supply reliability assessment method of claim 1, wherein, The fault rate of each fault is determined, and the annual fault rate of the load point is determined based on the fault rate of each fault, comprising: where: λ i is the annual failure rate of load point i; λ j is the failure rate of failure j; k indicates the total type of failure.

6. The automated power distribution network supply reliability assessment method of claim 2, wherein, Based on the annual fault rate and the annual outage time corresponding to each load point in the automated power distribution network, the power supply reliability evaluation result of the automated power distribution network under each evaluation index is determined; wherein, system average interruption frequency index SAIFI, system average interruption duration SAIDI, customer average interruption duration CAIDI and average service availability index ASAI are calculated according to the following formula respectively: where N i represents the load point i, K represents the total number of load points, k represents the total type of faults, λ j is the failure rate of fault j, t ij represents the outage time of the fault.

7. The automated power distribution network power supply reliability assessment method according to claim 1, wherein, The fault repair time is the average value of the fault repair time statistics value of the fault occurrence area.

8. An automated power distribution network power supply reliability assessment device, characterized by, Comprise: The first calculation module is used for determining the positional relationship between the load point and the fault section when a line in the automated power distribution network fails; When the load point is in the fault section, the outage time is the fault repair time; When located in the non-fault section, the outage time is the sum of the fault isolation time and the fault search time; wherein the fault isolation time and the fault search time are determined based on the switch automation state respectively; The second calculation module is configured to calculate the annual outage time of the load point based on the outage time of the load point; The third calculation module is configured to determine the fault rate of each fault, and determine the annual fault rate of the load point based on the fault rate of each fault; The index determination module is configured to determine each evaluation index of the automated distribution network; The evaluation module is configured to determine the power supply reliability evaluation result of the automated distribution network under each evaluation index based on the annual fault rate and the annual outage time corresponding to each load point in the automated distribution network.

9. An electronic device, comprising: The computer readable storage medium stores at least one instruction, and the at least one instruction is executed by the processor to implement the power supply reliability evaluation method of the automated distribution network according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores at least one instruction, and the at least one instruction is executed by the processor to implement the power supply reliability evaluation method of the automated distribution network according to any one of claims 1 to 7.

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