Enhanced plan arrangement method for power distribution system grid elements

Abstract

The invention discloses an enhanced plan arrangement method for a power distribution system grid element. The method comprises the following steps: modeling an equipment failure rate; obtaining a system reliability index according to the equipment fault rate model; establishing a net rack element reinforced arrangement model; jointly establishing a target function by taking the maintenance work cost minimization and the annual average power failure loss minimization of the net rack element reinforced arrangement model as targets; setting a reliability index constraint condition by using the system reliability index, and establishing other constraint conditions; and solving the objective function under the constraint of the reliability index constraint condition and other constraint conditions to obtain element strengthening plan arrangement information of the to-be-strengthened power distribution system grid element. According to the invention, a reliable arrangement plan can be obtained, and power distribution system grid elements can be effectively enhanced.

Description

Technical Field

[0001] The present application relates to the technical field of grid component arrangement, and in particular to a method for arranging a reinforcement plan for grid components of a power distribution system. Background Art

[0002] The distribution system grid components include overhead lines, cables, transformers, switchgear, etc., which face various challenges in the long-term operation process. In recent years, the total amount of power assets in my country has continued to increase, and the types and numbers of equipment have also increased dramatically. The manual compilation of distribution system components is a large workload, and it is impossible to guarantee the economy, reliability and other multiple goals of the distribution system operation. Therefore, the arrangement of distribution system grid components has important practical significance and application value.

[0003] Most existing planning and scheduling methods only focus on the cost and maintenance risk levels, and do not consider the impact of system reliability indicators at the fault level. Therefore, reliable and effective scheduling plans cannot be obtained, which is not conducive to the normal operation of distribution system grid components. Summary of the invention

[0004] In view of this, the present application provides an enhanced planning method for distribution system grid components, which is used to solve the problem that most existing planning methods only focus on the cost and maintenance risk levels, and do not consider the impact of system reliability indicators at the fault level. Therefore, reliable and effective planning cannot be obtained, which is not conducive to the normal operation of distribution system grid components.

[0005] To achieve the above objectives, the proposed solution is as follows:

[0006] In a first aspect, a method for scheduling a reinforcement plan for a power distribution system grid element comprises:

[0007] Modeling equipment failure rates;

[0008] Obtaining a system reliability index according to the equipment failure rate model;

[0009] Establish a grid element reinforcement arrangement model;

[0010] An objective function is jointly established with the goal of minimizing the maintenance work cost of the grid element reinforcement arrangement model and minimizing the annual average power outage loss;

[0011] Using the system reliability index to set reliability index constraints and establish other constraints;

[0012] Under the constraints of the reliability index constraint and other constraint conditions, the objective function is solved to obtain the component reinforcement plan arrangement information of the distribution system grid components to be strengthened.

[0013] Preferably, the modeling of equipment failure rate includes:

[0014] Establish equipment failure rate curve;

[0015] Fitting the equipment failure rate curve using Weibull distribution to determine the component average failure rate parameter;

[0016] Determining a component unavailability rate parameter according to the component average failure rate parameter;

[0017] The equipment failure rate is modeled based on the component average failure rate parameter and the component unavailability rate parameter.

[0018] Preferably, obtaining a system reliability index according to the equipment failure rate model includes:

[0019] Generate multiple low-level failure scenarios;

[0020] Importing each of the low-order fault scenarios into a pre-acquired active distribution network load restoration model;

[0021] Set the power flow constraints and radial topology constraints of the distribution network;

[0022] Under the premise of power distribution system network reconstruction, a first objective function is established with the goal of maximizing the post-fault load recovery rate of the active distribution network load recovery model;

[0023] Under the conditions of power flow constraints and radial topology constraints of the distribution network, solving the first objective function to obtain the branch state under each of the low-order fault scenarios;

[0024] For each of the low-order fault scenarios, determine the load reduction amount of each load point corresponding to the branch state under the low-order fault scenario to establish a fault impact table;

[0025] The fault impact scale is used to determine a system reliability index.

[0026] Preferably, the determining of the system reliability index by using the fault impact scale includes:

[0027] Establish initial formulas for system reliability indicators;

[0028] The initial formula is converted using the fault impact scale to obtain a system state impact increment;

[0029] Substituting the system state impact increment into the initial formula, the target calculation formula of the system reliability index is obtained.

[0030] Preferably, the formula of the objective function is:

[0031] ;

[0032] in, represents the average annual power outage loss, Indicates the cost of maintenance work, , are weight coefficients, Indicates the unit price of electricity. Represents a collection of components. Indicates the maintenance month collection, Indicates The weight of the element, Indicates The charge of a component is less than the expected value. represents the repair cost per unit failure rate, Indicates the repair before and after The change in the failure rate of a component.

[0033] Preferably, the using the system reliability index to set the reliability index constraint condition includes:

[0034] The system reliability index is constrained within a preset expected range to establish the reliability index constraint condition.

[0035] Preferably, the other constraints include maintenance resource constraints, simultaneous maintenance constraints, mutually exclusive maintenance constraints, spring and autumn inspection constraints, and unchangeable grid element reinforcement plan constraints.

[0036] In a second aspect, a device for scheduling a reinforcement plan for a power distribution system grid element includes:

[0037] A modeling module for modeling equipment failure rates;

[0038] A system reliability index obtaining module, used to obtain a system reliability index according to the equipment failure rate model;

[0039] A grid element strengthening arrangement model building module is used to build a grid element strengthening arrangement model;

[0040] An objective function establishment module is used to establish an objective function with the goal of minimizing the maintenance work cost of the grid element reinforcement arrangement model and minimizing the annual average power outage loss;

[0041] A constraint condition setting module, used to set reliability index constraint conditions using the system reliability index and establish other constraint conditions;

[0042] The objective function solving module is used to solve the objective function under the constraints of the reliability index constraint and other constraints to obtain the component strengthening plan arrangement information of the distribution system grid components to be strengthened.

[0043] In a third aspect, a device for scheduling a reinforcement plan for a grid element of a power distribution system includes a memory and a processor;

[0044] The memory is used to store programs;

[0045] The processor is used to execute the program to implement the various steps of the method for arranging a reinforcement plan for distribution system grid elements as described in any one of the first aspects.

[0046] In a fourth aspect, a storage medium stores a computer program thereon, wherein when the computer program is executed by a processor, the steps of the method for scheduling a reinforcement plan for grid elements of a power distribution system as described in any one of the first aspects are implemented.

[0047] It can be seen from the above technical scheme that the present application models the equipment failure rate; obtains the system reliability index according to the equipment failure rate model; establishes a grid element reinforcement scheduling model; establishes an objective function with the goal of minimizing the maintenance work cost and the annual average power outage loss of the grid element reinforcement scheduling model; uses the system reliability index to set the reliability index constraint condition and establish other constraints; under the constraints of the reliability index constraint condition and other constraints, solves the objective function to obtain the component reinforcement plan scheduling information of the grid element of the distribution system to be strengthened. The present application models the equipment failure rate to obtain the system reliability index, which makes up for the fact that the existing technology does not consider the curve of the influence of the system reliability index at the fault level, and also uses the system reliability index to establish the constraint condition to constrain the grid element reinforcement scheduling model, thereby solving the component reinforcement plan scheduling information of the grid element of the distribution system to be strengthened. Compared with the existing technology that only focuses on the cost and maintenance risk level, the present method is more comprehensive and specific, so a reliable scheduling plan can be obtained, and the grid elements of the distribution system can be effectively strengthened. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0049] Figure 1 An optional flow chart of a method for arranging a reinforcement plan for a grid element of a power distribution system provided in an embodiment of the present application;

[0050] Figure 2~Figure 4 Schematic diagram of three equipment failure rate curves provided in the embodiments of the present application.

[0051] Figure 5 A flow chart of a reliability assessment method based on impact increment provided in an embodiment of the present application;

[0052] Figure 6 A schematic diagram of a system reliability index analysis process provided in an embodiment of the present application;

[0053] Figure 7 A schematic diagram of an improved IEEE 33-node distribution network provided in an embodiment of the present application;

[0054] Figure 8 A schematic diagram for comparing the reliability index change curves provided in the embodiments of the present application;

[0055] Fig. 9 A schematic diagram of the structure of a device for arranging a reinforcement plan for a grid element of a power distribution system provided in an embodiment of the present application;

[0056] Fig.10 A schematic diagram of the structure of a reinforcement plan arrangement device for distribution system grid elements provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0058] Energy security is related to the overall economic and social development. Power supply security is an important part of energy security. Power reliability management is an important means to ensure social and economic development. In recent years, the total amount of power assets in my country has continued to increase, and the types and numbers of equipment have also increased dramatically. The workload of manually compiling the reinforcement of distribution system components is large, and it is impossible to guarantee the multiple goals of the economy and reliability of the distribution system operation. Therefore, using operations optimization methods to arrange scientific, reasonable and practical grid component reinforcement plans is conducive to improving the reliability of power system operation and improving the modern management level and benefits of enterprises. Most of the existing planning methods only focus on the cost and maintenance risk level, and do not consider the impact of system reliability indicators at the fault level. Therefore, reliable and effective scheduling plans cannot be obtained, which is not conducive to the normal operation of distribution system grid components. Therefore, a distribution system grid component reinforcement planning method that takes into account reliability constraints is needed to provide theoretical reference or technical guidance for the arrangement of actual distribution network component reinforcement plans, and ensure that maintenance work can be carried out safely and stably.

[0059] The present invention can be used in many general or special computing device environments or configurations, such as personal computers, server computers, handheld or portable devices, tablet devices, multi-processor devices, distributed computing environments including any of the above devices or devices, etc.

[0060] The embodiment of the present invention provides a method for arranging a reinforcement plan for a power distribution system grid element. The method can be applied to various computer terminals or intelligent terminals. The execution subject can be a processor or server of the computer terminal or intelligent terminal. The method flow chart of the method is as follows: Figure 1 As shown, specifically including:

[0061] S1: Model the equipment failure rate.

[0062] Considering that when the working cycle of the distribution system is short, the change in equipment failure rate is small, the change in failure rate during the entire working cycle of the distribution system can be ignored. However, when the working cycle is long, the change in equipment failure rate cannot be directly ignored. Therefore, this application models the equipment failure rate to characterize the change in equipment failure rate during the working cycle.

[0063] Modeling the equipment failure rate can use the reliability assessment method based on impact increment to provide an analytical expression of the reliability index, such as analyzing the repairable components and modeling the component reliability.

[0064] Distribution network faults can be divided into three categories: minor damage, major damage, and faults caused by vegetation. These three types of faults correspond to minor repairs, major repairs, and vegetation pruning, respectively.

[0065] S2: Obtaining a system reliability index according to the equipment failure rate model.

[0066] In this step, the system impact quantity and system operation status under different maintenance conditions can be analyzed, and a reliability evaluation method based on impact increment can be introduced to obtain the system reliability index.

[0067] S3: Establish a grid element reinforcement arrangement model.

[0068] The system reliability index obtained in the above steps is considered in the process of establishing the grid component strengthening arrangement model, so as to obtain a better grid component strengthening arrangement model.

[0069] S4: jointly establishing an objective function with the goal of minimizing the maintenance work cost of the grid element reinforcement arrangement model and minimizing the annual average power outage loss.

[0070] When establishing the objective function, both the maintenance work cost and the average annual power outage loss are considered, and the objective is to minimize these two aspects.

[0071] S5: Using the system reliability index to set reliability index constraint conditions, and establish other constraint conditions.

[0072] The purpose of setting reliability index constraints based on system reliability index is to maintain the stable operation of the distribution system during the strengthening process. However, this alone is not enough. Other constraints need to be set. For example, other constraints should be established by considering the changes in equipment failure rate during the working cycle, the output of distributed power sources, and the operation of system interconnection switches. This can make the grid component strengthening scheduling model better.

[0073] S6: Under the constraints of the reliability index constraint and other constraints, solve the objective function to obtain component reinforcement plan arrangement information of the distribution system grid components to be strengthened.

[0074] The objective function can be solved using the commercial solver Gurobi.

[0075] It can be seen from the above technical scheme that the present application models the equipment failure rate; obtains the system reliability index according to the equipment failure rate model; establishes a grid element reinforcement scheduling model; establishes an objective function with the goal of minimizing the maintenance work cost and the annual average power outage loss of the grid element reinforcement scheduling model; uses the system reliability index to set the reliability index constraint condition and establish other constraints; under the constraints of the reliability index constraint condition and other constraints, solves the objective function to obtain the component reinforcement plan scheduling information of the grid element of the distribution system to be strengthened. The present application models the equipment failure rate to obtain the system reliability index, which makes up for the fact that the existing technology does not consider the curve of the influence of the system reliability index at the fault level, and also uses the system reliability index to establish the constraint condition to constrain the grid element reinforcement scheduling model, thereby solving the component reinforcement plan scheduling information of the grid element of the distribution system to be strengthened. Compared with the existing technology that only focuses on the cost and maintenance risk level, the present method is more comprehensive and specific, so a reliable scheduling plan can be obtained, and the grid elements of the distribution system can be effectively strengthened.

[0076] This application can improve the reliability of the power distribution system and reduce the failure rate of grid components as economically as possible, under the premise that the strengthening work of grid components is carried out safely and stably.

[0077] In the method provided in the embodiment of the present invention, the process of modeling the equipment failure rate is specifically described as follows:

[0078] Establish equipment failure rate curve;

[0079] Fitting the equipment failure rate curve using Weibull distribution to determine the component average failure rate parameter;

[0080] Determining a component unavailability rate parameter according to the component average failure rate parameter;

[0081] The equipment failure rate is modeled based on the component average failure rate parameter and the component unavailability rate parameter.

[0082] Specifically, in the process of fitting the equipment failure rate curve using Weibull distribution to determine the average failure rate parameter of the component, the Weibull distribution function is shown in the following formula:

[0083] ;

[0084] in, represents the average failure rate parameter of the component, , and are equipment failure rate curve parameters, is a random variable, is the coefficient.

[0085] The component average failure rate parameter refers to the number of power outages caused by component failures within a given time interval. The component unavailability rate parameter is determined based on the component average failure rate parameter to obtain the component unavailability rate parameter. for:

[0086] ;

[0087] in, It represents the component repair rate, also known as the component failure probability, which refers to the proportion of time that the component operates normally.

[0088] For the three types of faults mentioned above, the corresponding parameters are shown in Table 1 below:

[0089] Table 1

[0090]

[0091] Among these three types of failures, the failure rate curve of equipment with minor damage is as follows: Figure 2 As shown, the equipment failure rate curve of major damage type is as follows Figure 3 As shown in the figure, the equipment failure rate curve of vegetation-induced failure type is as follows Figure 4 shown.

[0092] The process of obtaining the system reliability index according to the equipment failure rate model is described below.

[0093] Generate multiple low-level failure scenarios;

[0094] Importing each of the low-order fault scenarios into a pre-acquired active distribution network load restoration model;

[0095] Set the power flow constraints and radial topology constraints of the distribution network;

[0096] Under the premise of power distribution system network reconstruction, a first objective function is established with the goal of maximizing the post-fault load recovery rate of the active distribution network load recovery model;

[0097] Under the conditions of power flow constraints and radial topology constraints of the distribution network, solving the first objective function to obtain the branch state under each of the low-order fault scenarios;

[0098] For each of the low-order fault scenarios, determine the load reduction amount of each load point corresponding to the branch state under the low-order fault scenario to establish a fault impact table;

[0099] The fault impact scale is used to determine a system reliability index.

[0100] Specifically, the state enumeration method can be used to generate multiple low-order fault scenarios. The active distribution network load recovery model is a mathematical model established to solve the problem of how to quickly and effectively restore power to the power-off load after a fault occurs in the active distribution network. In the solution process, the main thing is to solve the mixed integer programming problem with the branch state as the role variable (0-1 variable) to obtain the branch state under each low-order fault scenario, which can indicate the operation mode of the distribution system grid components and the load reduction amount of each load point. The operation mode under all low-order fault scenarios and the load reduction amount of the load point are sorted and summarized to obtain the fault impact table.

[0101] The process of determining the system reliability index by using the fault impact scale specifically includes:

[0102] Establish initial formulas for system reliability indicators;

[0103] The initial formula is converted using the fault impact scale to obtain a system state impact increment;

[0104] Substituting the system state impact increment into the initial formula, the target calculation formula of the system reliability index is obtained.

[0105] The following is a simple three-component power distribution system to explain the above process in detail:

[0106] use Represents the reliability index, and the initial formula of the reliability index is:

[0107] ;

[0108] in, Indicates fault status The amount of influence, Indicates The unavailability rate of components, Indicates The probability that a component will function properly.

[0109] Using the fault impact scale, the initial formula is transformed to obtain:

[0110] ;

[0111] The system state impact increment can be obtained:

[0112] ;

[0113] In the above formula, the probability of normal operation of the component is eliminated, and all system status effects Impact increment The essence of the impact increment is the difference between the high-order state and its corresponding low-order state. Therefore, the system state impact increment of the high-order state is smaller than its impact value, and the probability of the high-order state will decrease exponentially with the increase of the fault order, thereby reducing the error caused by ignoring the high-order accident state and improving the accuracy of reliability assessment.

[0114] Substitute the system state impact increment into the initial formula to obtain the target calculation formula:

[0115] ;

[0116] In particular, the third-order and above accident states, i.e., the accident search depth The flow chart of the reliability assessment method based on impact increment is as follows: Figure 5 As shown, the k-order fault set is k low-order fault scenarios.

[0117] The system reliability index can be expressed analytically. The specific process is as follows: Figure 6 shown.

[0118] In the process of establishing the grid component reinforcement arrangement model, the objective function is jointly established with the goal of minimizing the maintenance work cost and minimizing the annual average power outage loss. The objective function formula is:

[0119] ;

[0120] in, represents the average annual power outage loss, Indicates the cost of maintenance work, , are weight coefficients, Indicates the unit price of electricity. Represents a collection of components. Indicates the maintenance month collection, Indicates The weight of the element, Indicates The element in The power consumption in the maintenance month is less than the expected value. represents the repair cost per unit failure rate, Indicates The element in The change in failure rate before and after repair during a maintenance month. , It can be adjusted according to actual conditions or user needs.

[0121] For the constraint condition, the system reliability index is constrained within a preset expected range to establish the reliability index constraint condition:

[0122] ;

[0123] in, Indicates The reliability index value of each component, It represents the expected value of the reliability index of the distribution system.

[0124] It also includes other constraints, namely: maintenance resource constraints, simultaneous maintenance constraints, mutually exclusive maintenance constraints, spring and autumn inspection constraints, and unchangeable grid component reinforcement plan constraints.

[0125] Maintenance resource constraints refer to the limited number of maintenance personnel, technical capabilities, equipment capabilities, etc., which means that the number of equipment that can be simultaneously maintained and enhanced is limited due to limited resources:

[0126] ;

[0127] in, Indicates The element in The working status of each time period. If it is equal to 0, it means that no enhanced maintenance work is carried out. If it is equal to 1, it means that enhanced maintenance work is carried out. represents the set of all components in the system, Indicates that the maintenance personnel The maximum number of devices that can be repaired simultaneously in a time period.

[0128] The simultaneous maintenance constraint means that in a power distribution system, the problems that can be solved by a power outage need to be solved comprehensively, and repeated power outages due to inconsideration are not allowed, so some components must be repaired at the same time:

[0129] ;

[0130] in, and Respectively Components and The element in Working status of a time period.

[0131] Mutually exclusive maintenance constraints refer to the fact that in order to reduce the load points of power outages when strengthening grid components, some components cannot be repaired and strengthened at the same time, such as parallel components, so they cannot be arranged in the same time period:

[0132] ;

[0133] in, The total number of devices that serve as backup or in parallel.

[0134] Spring and autumn inspection constraints: Due to the frequent occurrence of extreme weather events, high temperatures and extremely cold weather have brought huge challenges to energy supply. In order to effectively protect residents' lives and key electricity needs, and actively respond to the "peak summer" and "peak winter" supply tasks, the actual maintenance work is mainly carried out in spring and autumn, namely spring and autumn inspections:

[0135] ;

[0136] in, represents the collection of months in summer. Represents the set of months that fall within the winter season.

[0137] Unchangeable grid component reinforcement plan constraints. In this application, the reinforcement working time for some components is fixed, so their working time cannot be changed. For example, some dispatching departments formulate maintenance reinforcement plans, which extend the component reinforcement work and accident maintenance from the previous time period to the current time period:

[0138] ;

[0139] in, Indicates the equipment intensive maintenance working time determined by the superior dispatcher.

[0140] Specifically, the present application ultimately obtains component reinforcement plan arrangement information for the distribution system grid components to be strengthened, from which an arrangement plan can be formulated, which may also include reinforcement costs, power outage loss costs, and changes in relevant reliability indicators of the distribution system.

[0141] Furthermore, for the system reliability index, this application assumes that the transmission system, interconnecting switches, circuit breakers, and disconnectors are absolutely reliable, that is, all faults in the distribution system are caused by transmission line faults. Then it is assumed that the operating elements are fast and reliable when they are in action, that is, 100% reliable action, and there will be no situation of no action or refusal to move; it is assumed that the power supply nodes of the distribution system have sufficient power, that is, the impact of the upstream power grid fault is ignored; it is assumed that the operation time of the disconnector is 0.5h, and the time for repairing the line fault is 5h; the power loss cost is set to 15,280 yuan / Mwh (obtained by dividing the gross domestic product by the electricity consumption); the system maintenance team carrying capacity is set to 3, that is, the system maintenance team can carry out three maintenance reinforcement work items at the same time; and the unit reinforcement cost is also set to 10,000 yuan / unit failure rate.

[0142] This application makes appropriate improvements to the IEEE33 node power distribution system, such as Figure 7As shown in the figure, distributed power sources and tie switches are added, and this is used as an example to verify the grid element strengthening arrangement model. In one example, the distribution system to be strengthened contains 33 nodes (elements), 32 lines, 5 tie switches, 5230 users, and the total active load of the system is 3.715MW. Among them, S33~S37 are tie switches (TS), and load points 15 and 30 are equipped with controllable distributed power sources (MS) or distributed photovoltaic power sources (PV).

[0143] The line parameter information data is shown in Table 2 below:

[0144] Table 2

[0145]

[0146]

[0147] The load point parameter information is shown in Table 3 below:

[0148] Table 3

[0149]

[0150]

[0151] The tie switch data is shown in Table 4 below:

[0152] Table 4

[0153]

[0154] The system power supply parameters are shown in Table 5 below:

[0155] Table 5

[0156]

[0157] The system distributed power supply parameters are shown in Table 6 below:

[0158] Table 6

[0159]

[0160] In one example, a group of distribution system grid elements to be strengthened includes elements 1, 2, 5, 7, 8, 9, 10, 24, 25, and 31.

[0161] Next, a comparative analysis is conducted on the effects of the grid element reinforcement plans compiled using the method provided in this application and the three compilation method strategies in the prior art.

[0162] Solution 1: Based on the component failure rate data, arrange the system components in descending order of failure rate.

[0163] Solution 2: Arrange in descending order of component importance, where component importance is calculated based on the equipment importance evaluation method based on reliability analysis.

[0164] Solution 3: No constraints are imposed and the arrangement is random.

[0165] The reliability and economic data of different arrangement information plans are calculated and shown in Table 7.

[0166] Table 7

[0167]

[0168] The comparison of the reliability index change curve can be as follows Figure 8 As shown, from Figure 8 It can be found in Table 7 that the present method is superior to the three existing methods in terms of reliability and economy. Therefore, the use of this method for strengthening plan arrangement can ensure that the grid component strengthening work can be carried out safely and stably, and reduce the risk in the strengthening process. Specifically, it can minimize the strengthening cost and power outage loss while maximizing the improvement effect of component strengthening work on system reliability. Therefore, this method can scientifically and reasonably arrange the component strengthening plan, improve the reliability of the distribution system in a targeted manner and save costs. Therefore, this application establishes a grid component strengthening arrangement model under the condition of considering the change of component failure rate within the working cycle, system reliability constraints, and contact switch action, which can effectively reduce the power outage loss within the working cycle of the distribution system, and can compile component strengthening plan arrangement information and maintenance plans that are more economical and more reliable than conventional component strengthening plan arrangement information.

[0169] and Figure 1 Corresponding to the method described above, the embodiment of the present invention also provides a device for arranging a reinforcement plan for a grid element of a power distribution system, for Figure 1 In the specific implementation of the method, the reinforcement plan arrangement device for the power distribution system grid element provided by the embodiment of the present invention can be used in a computer terminal or various mobile devices, combined with Fig. 9 , introduces the strengthening plan arrangement device of the distribution system grid elements, such as Fig. 9 As shown, the device may include:

[0170] A modeling module 10, used for modeling equipment failure rate;

[0171] A system reliability index obtaining module 20 is used to obtain a system reliability index according to the equipment failure rate model;

[0172] A grid element strengthening arrangement model establishing module 30 is used to establish a grid element strengthening arrangement model;

[0173] An objective function establishment module 40 is used to establish an objective function with the goal of minimizing the maintenance work cost and the annual average power outage loss of the grid element reinforcement arrangement model;

[0174] A constraint condition setting module 50, used to set reliability indicator constraint conditions using the system reliability indicator and establish other constraint conditions;

[0175] The objective function solving module 60 is used to solve the objective function under the constraints of the reliability index constraint and other constraints to obtain the component strengthening plan arrangement information of the distribution system grid components to be strengthened.

[0176] It can be seen from the above technical scheme that the present application models the equipment failure rate; obtains the system reliability index according to the equipment failure rate model; establishes a grid element reinforcement scheduling model; establishes an objective function with the goal of minimizing the maintenance work cost and the annual average power outage loss of the grid element reinforcement scheduling model; uses the system reliability index to set the reliability index constraint condition and establish other constraints; under the constraints of the reliability index constraint condition and other constraints, solves the objective function to obtain the component reinforcement plan scheduling information of the grid element of the distribution system to be strengthened. The present application models the equipment failure rate to obtain the system reliability index, which makes up for the fact that the existing technology does not consider the curve of the influence of the system reliability index at the fault level, and also uses the system reliability index to establish the constraint condition to constrain the grid element reinforcement scheduling model, thereby solving the component reinforcement plan scheduling information of the grid element of the distribution system to be strengthened. Compared with the existing technology that only focuses on the cost and maintenance risk level, the present method is more comprehensive and specific, so a reliable scheduling plan can be obtained, and the grid elements of the distribution system can be effectively strengthened.

[0177] Furthermore, the embodiment of the present application provides a device for organizing a reinforcement plan for a power distribution system grid element. Optionally, Fig.10 The hardware structure diagram of the reinforcement planning equipment of the distribution system grid components is shown in FIG. Fig.10 The hardware structure of the reinforcement plan arrangement device for the distribution system grid elements may include: at least one processor 01, at least one communication interface 02, at least one memory 03 and at least one communication bus 04.

[0178] In the embodiment of the present application, the number of the processor 01 , the communication interface 02 , the memory 03 , and the communication bus 04 is at least one, and the processor 01 , the communication interface 02 , and the memory 03 communicate with each other through the communication bus 04 .

[0179] The processor 01 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention.

[0180] The memory 03 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), etc., such as at least one disk memory.

[0181] The memory stores a program, and the processor can call the program stored in the memory, and the program is used to execute the following method for arranging a reinforcement plan for a grid element of a power distribution system, including:

[0182] Modeling equipment failure rates;

[0183] Obtaining a system reliability index according to the equipment failure rate model;

[0184] Establish a grid element reinforcement arrangement model;

[0185] An objective function is jointly established with the goal of minimizing the maintenance work cost of the grid element reinforcement arrangement model and minimizing the annual average power outage loss;

[0186] Using the system reliability index to set reliability index constraints and establish other constraints;

[0187] Under the constraints of the reliability index constraint and other constraint conditions, the objective function is solved to obtain the component reinforcement plan arrangement information of the distribution system grid components to be strengthened.

[0188] Optionally, the detailed functions and extended functions of the program may refer to the description of the method for arranging a reinforcement plan for distribution system grid elements in the method embodiment.

[0189] The embodiment of the present application further provides a storage medium, which may store a program suitable for execution by a processor, and when the program is executed, controls the device where the storage medium is located to execute the following method for scheduling a reinforcement plan for a grid element of a power distribution system, including:

[0190] Modeling equipment failure rates;

[0191] Obtaining a system reliability index according to the equipment failure rate model;

[0192] Establish a grid element reinforcement arrangement model;

[0193] An objective function is jointly established with the goal of minimizing the maintenance work cost of the grid element reinforcement arrangement model and minimizing the annual average power outage loss;

[0194] Using the system reliability index to set reliability index constraints and establish other constraints;

[0195] Under the constraints of the reliability index constraint and other constraint conditions, the objective function is solved to obtain the component reinforcement plan arrangement information of the distribution system grid components to be strengthened.

[0196] Specifically, the storage medium may be a computer-readable storage medium, and the computer-readable storage medium may be an electronic memory such as a flash memory, an EEPROM (Electrically Erasable Programmable Read-Only Memory), an EPROM, a hard disk or a ROM.

[0197] Optionally, the detailed functions and extended functions of the program may refer to the description of the method for arranging a reinforcement plan for distribution system grid elements in the method embodiment.

[0198] In addition, the functional modules in the various embodiments of the present disclosure can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part. If the function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present disclosure is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes a number of instructions for a computer device (which can be a personal computer, a live broadcast device, or a network device, etc.) to perform all or part of the steps of the methods of the various embodiments of the present disclosure.

[0199] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0200] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0201] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for arranging a reinforcement plan for a power distribution system grid element, characterized in that: include: Modeling equipment failure rates; Obtaining a system reliability index according to the equipment failure rate model; Establish a grid element reinforcement arrangement model; An objective function is jointly established with the goal of minimizing the maintenance work cost of the grid element reinforcement arrangement model and minimizing the annual average power outage loss; Using the system reliability index to set reliability index constraints and establish other constraints; Under the constraints of the reliability index constraint and other constraint conditions, the objective function is solved to obtain the component reinforcement plan arrangement information of the distribution system grid components to be strengthened.

2. The method according to claim 1, characterized in that The modeling of equipment failure rate includes: Establish equipment failure rate curve; Fitting the equipment failure rate curve using Weibull distribution to determine the component average failure rate parameter; Determining a component unavailability rate parameter according to the component average failure rate parameter; The equipment failure rate is modeled based on the component average failure rate parameter and the component unavailability rate parameter.

3. The method according to claim 1, characterized in that The obtaining of the system reliability index according to the equipment failure rate model includes: Generate multiple low-level failure scenarios; Importing each of the low-order fault scenarios into a pre-acquired active distribution network load restoration model; Set the power flow constraints and radial topology constraints of the distribution network; Under the premise of power distribution system network reconstruction, a first objective function is established with the goal of maximizing the post-fault load recovery rate of the active distribution network load recovery model; Under the conditions of power flow constraints and radial topology constraints of the distribution network, solving the first objective function to obtain the branch state under each of the low-order fault scenarios; For each of the low-order fault scenarios, determine the load reduction amount of each load point corresponding to the branch state under the low-order fault scenario to establish a fault impact table; The fault impact scale is used to determine a system reliability index.

4. The method according to claim 3, characterized in that Determining the system reliability index by using the fault impact scale includes: Establish initial formulas for system reliability indicators; The initial formula is converted using the fault impact scale to obtain a system state impact increment; Substituting the system state impact increment into the initial formula, the target calculation formula of the system reliability index is obtained.

5. The method according to claim 1, characterized in that The objective function formula is: ； in, represents the average annual power outage loss, Indicates the cost of maintenance work, , are weight coefficients, Indicates the unit price of electricity. Represents a collection of components. Indicates the maintenance month collection, Indicates The weight of the element, Indicates The element in The power consumption in the maintenance month is less than the expected value. represents the repair cost per unit failure rate, Indicates The element in The change in failure rate before and after repair during a maintenance month.

6. The method according to claim 1, characterized in that The using the system reliability index to set the reliability index constraint condition includes: The system reliability index is constrained within a preset expected range to establish the reliability index constraint condition.

7. The method according to claim 1, characterized in that The other constraints include maintenance resource constraints, simultaneous maintenance constraints, mutually exclusive maintenance constraints, spring and autumn maintenance constraints, and unchangeable grid component reinforcement plan constraints.

8. A device for arranging a reinforcement plan for a power distribution system grid element, characterized in that: include: A modeling module for modeling equipment failure rates; A system reliability index obtaining module, used to obtain a system reliability index according to the equipment failure rate model; A grid element strengthening arrangement model building module is used to build a grid element strengthening arrangement model; An objective function establishment module is used to establish an objective function with the goal of minimizing the maintenance work cost of the grid element reinforcement arrangement model and minimizing the annual average power outage loss; A constraint condition setting module, used to set reliability index constraint conditions using the system reliability index and establish other constraint conditions; The objective function solving module is used to solve the objective function under the constraints of the reliability index constraint and other constraints to obtain the component strengthening plan arrangement information of the distribution system grid components to be strengthened.

9. A device for arranging a reinforcement plan for a distribution system grid element, characterized in that: including memory and processor; The memory is used to store programs; The processor is used to execute the program to implement the various steps of the method for arranging a reinforcement plan for distribution system grid elements as described in any one of claims 1-7.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, each step of the method for arranging a reinforcement plan for a power distribution system grid element as described in any one of claims 1 to 7 is implemented.

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