Power distribution network reliability planning method and device and related products

Abstract

The invention discloses a power distribution network reliability planning method and apparatus, and a related product. The method comprises the steps of obtaining target power distribution network resource data; determining a key business index corresponding to the target power distribution network resource data; sensitivity analysis is carried out according to the key business indexes, and a reliability planning model is obtained; performing cost calculation according to the target power distribution network resource data and the key business indexes to obtain a cost calculation model; according to the reliability planning model and the cost calculation model, determining a reliability planning strategy model taking the minimum total investment as a target; and inputting the target power distribution network resource data into the reliability planning strategy model to obtain a reliability planning strategy with the minimum total investment amount. According to the embodiment of the invention, refined reliability and cost planning and management are realized, and guidance is provided for power distribution network planning.

Description

Technical Field

[0001] The present invention relates to the field of electric power, and in particular to a distribution network reliability planning method, device and related products. Background Art

[0002] As the demand for electricity continues to grow, the size and complexity of the distribution network is also increasing. In order to ensure the reliability and stability of the distribution network, it needs to be reasonably planned. In traditional distribution network planning, reliability assessment and verification are usually carried out after the planning scheme is completed. It lacks quantitative analysis of some key business indicators and reliability indicators, which can easily lead to repeated modifications of the planning scheme or difficulty in achieving the optimal effect.

[0003] At present, for the reliability planning of distribution networks, traditional distribution network planning methods fail to fully consider the impact of key business indicators on reliability and the corresponding costs of improving each business indicator, thus failing to achieve the optimal investment effect. Therefore, how to achieve the optimal investment reliability planning and provide strong support for power planning needs to be solved urgently. Summary of the invention

[0004] The embodiment of the present invention provides a distribution network reliability planning method, device and related products. The method constructs a reliability planning model for key businesses by acquiring equipment information, power outage event information, distribution characteristic parameters and distribution network reliability target improvement rate to perform sensitivity analysis on key business indicators. Then, the improvement cost of the key business indicators is calculated, and the cost-benefit ratio of the key business indicator improvement is calculated. A cost calculation model for improving key business indicators based on typical scenarios is constructed. Finally, the reliability planning model and the cost calculation model for improving key business indicators are combined to form a reliability planning strategy model with the minimum total investment as the goal. Finally, a reliability planning strategy with the minimum total investment is output. Since the reliability and improvement cost of key business indicators are taken into account simultaneously, compared with the traditional distribution network planning method, refined reliability and cost planning and management are achieved.

[0005] In a first aspect, an embodiment of the present invention provides a distribution network reliability planning method, the method comprising:

[0006] Obtain target distribution network resource data;

[0007] Determine the key business indicators corresponding to the target distribution network resource data;

[0008] Perform sensitivity analysis based on the key business indicators to obtain a reliability planning model;

[0009] Perform cost calculation based on the target distribution network resource data and the key business indicators to obtain a cost calculation model;

[0010] Determining a reliability planning strategy model with a minimum total investment as a goal based on the reliability planning model and the cost calculation model;

[0011] The target distribution network resource data is input into the reliability planning strategy model to obtain a reliability planning strategy with the minimum total investment amount.

[0012] In a second aspect, an embodiment of the present invention provides a device for a distribution network reliability planning strategy, the device for a distribution network reliability planning strategy comprises: an acquisition unit, a determination unit, a calculation unit, and an output unit, wherein:

[0013] The acquisition unit is used to acquire target distribution network resource data;

[0014] The determining unit is used to determine the key business indicators corresponding to the target distribution network resource data;

[0015] The computing unit is used to perform sensitivity analysis according to the key business indicators to obtain a reliability planning strategy model;

[0016] The calculation unit is further used to perform cost calculation according to the target distribution network resource data and the key business indicators to obtain a cost calculation model;

[0017] The determining unit is further used to determine a reliability planning strategy model with a minimum total investment as a goal according to the reliability planning strategy model and the cost calculation model;

[0018] The output unit is used to input the target distribution network resource data into the reliability planning strategy model with the minimum total investment as the goal, so as to obtain the reliability planning strategy with the minimum total investment amount.

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

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

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

[0022] It can be seen that by implementing the embodiment of the present invention, the target distribution network resource data is obtained; the key business indicators corresponding to the target distribution network resource data are determined; sensitivity analysis is performed according to the key business indicators to obtain a reliability planning model; cost calculation is performed according to the target distribution network resource data and the key business indicators to obtain a cost calculation model; a reliability planning strategy model with the minimum total investment as the goal is determined according to the reliability planning model and the cost calculation model; the target distribution network resource data is input into the reliability planning strategy model to obtain a reliability planning strategy with the minimum total investment amount. In this way, by obtaining the equipment information, power outage event information, and distribution characteristics of the distribution network, A sensitivity analysis of the key business indicators based on the characteristic parameters and the distribution network reliability target improvement rate is performed to build a reliability planning model for key businesses. Then, the improvement cost of the key business indicators is calculated, and the cost-benefit ratio of the key business indicators is calculated. A cost calculation model for the improvement of key business indicators based on typical scenarios is built. Finally, the reliability planning model and the cost calculation model for the improvement of key business indicators are combined to form a reliability planning strategy model with the minimum total investment as the goal. Finally, the reliability planning strategy with the minimum total investment is output. Since the reliability and improvement cost of key business indicators are taken into account simultaneously, compared with the traditional distribution network planning method, refined reliability and cost planning and management are achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the background technology, the drawings required for use in the embodiments of the present invention or the background technology will be described below.

[0024] Figure 1 It is a structural diagram of a distribution network reliability planning model provided in an embodiment of the present application;

[0025] Figure 2 is a flow chart of a distribution network reliability planning method provided by an embodiment of the present application;

[0026] Figure 3 It is a functional unit composition block diagram of a distribution network reliability planning strategy device provided in an embodiment of the present application;

[0027] Figure 4 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings 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.

[0029] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0030] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0031] The following is an explanation of the relevant contents, concepts, meanings, technical issues, technical solutions, beneficial effects, etc. involved in the embodiments of the present application.

[0032] First, some terms involved in this application are explained:

[0033] Key business indicators: refers to important parameters used to evaluate and improve the performance of distribution networks. In this application, key business indicators mainly include the transfer rate, feeder automation coverage, cable rate and average number of overhead line segments. Among them, the transfer rate refers to the proportion of power supply that can continue to be supplied through other lines or equipment when the distribution network fails or undergoes maintenance. This indicator can reflect the flexibility and reliability of the distribution network; the feeder automation coverage rate refers to the proportion of feeders in the distribution network that use automation equipment and technology. A high coverage rate means that the distribution network can perform fault detection and recovery operations more efficiently and improve power supply reliability; the cable rate refers to the proportion of cable lines in the distribution network. The increase in the cable rate can reduce the use of overhead lines, reduce the risk of being affected by external factors such as weather, and improve the safety and reliability of the distribution network; the average number of overhead line segments refers to the average number of segments of each overhead line in the distribution network. The increase in the number of segments can shorten the time for fault location and repair, reduce the scope of power outages, and improve the continuity and reliability of power supply.

[0034] Primary equipment and secondary equipment: Primary equipment refers to equipment that directly produces, transmits, distributes and uses electric energy in the distribution network, including transformers, circuit breakers, transmission lines, power cables, ring network cabinets, etc.; secondary equipment refers to low-voltage electrical equipment required to detect, control, adjust, and protect the operation of primary equipment, and to provide operating conditions or production command signals to operation and maintenance personnel, including control switches, control cables, electric energy meters, etc.

[0035] See also Figure 1 , Figure 1 It is a structural diagram of a distribution network reliability planning model provided in an embodiment of the present application. The distribution network reliability planning strategy model 100 includes: an input module 110, a calculation module 120, and an output module 130. The calculation module 120 includes a sensitivity analysis module 121 and a cost estimation module 122.

[0036] Among them, the distribution network reliability planning strategy model 100 simultaneously considers the sensitivity of key business indicators and the cost of improving each key business indicator. By constructing a reliability planning model with the smallest total investment amount, it realizes refined business indicator improvement cost calculation and provides guidance for distribution network planning.

[0037] The target distribution network resource data is obtained through the input module 110, and the distribution network resource data includes: distribution network equipment information, power outage event information, distribution network characteristic parameters, distribution network reliability target improvement rate and distribution network equipment characteristic investment estimation.

[0038] Among them, the calculation module 120 includes a sensitivity analysis module 121 and a cost estimation module 122. The sensitivity analysis module 121 performs a sensitivity analysis on the reliability of key business indicators according to the distribution network reliability target improvement rate and the distribution network characteristic parameters to obtain the sensitivity of each key business indicator. The cost estimation module 122 calculates the business indicator improvement according to the equipment information, the distribution network characteristic parameters and the investment estimate of the distribution network equipment to obtain the cost estimation value corresponding to each business indicator.

[0039] Among them, the output module 130 is responsible for constructing models for the sensitivity of key business indicators and the cost estimation values ​​of business indicators respectively, to obtain a reliability planning model and a cost calculation model, and then, combining the reliability planning model and the cost calculation model to obtain a reliability planning strategy model with the minimum total investment amount as the goal, and outputting a reliability planning strategy with the minimum total investment amount.

[0040] By adopting the distribution network reliability planning strategy model 100 of the embodiment of the present application, the reliability control target can be decomposed into the control targets of each key business indicator through sensitivity analysis of reliability to key business indicators. The cost calculation method for improving key business indicators and the distribution of typical scenarios for improving each business indicator can be considered simultaneously, thereby achieving refined reliability and cost planning and management, and providing guidance for distribution network planning.

[0041] See also Figure 2 , Figure 2 is a flow chart of a distribution network reliability planning method provided by an embodiment of the present application, such as Figure 2 The distribution network reliability planning method shown in the figure includes but is not limited to the following steps:

[0042] S201. Obtain target distribution network resource data.

[0043] In the embodiment of the present application, distribution network resource data refers to data that describes various types of resources and event information in the target distribution network system. The distribution network resource data may include at least one of the following, which include distribution network equipment information, power outage event information, distribution network characteristic parameters, and distribution network reliability target improvement rate. Among them, the distribution network equipment information includes primary equipment information and secondary equipment information, which mainly includes distribution network topology information, equipment model, distribution network rated voltage, distribution network rated current, etc.; distribution network characteristic parameters include average line length, line transfer rate, line cable rate, average number of line sections, distribution automation coverage rate and old equipment replacement rate and other parameters, etc., which are not limited here.

[0044] In a specific embodiment, multiple data acquisition devices may be set on the target distribution network, including secondary devices in the distribution network, and the target distribution network resource data is monitored and collected through these devices to obtain the required distribution network resource data. Specifically, the key nodes that need to be monitored in the target distribution network are determined. These nodes may include important locations such as substations, distribution rooms, load centers, feeder nodes, etc. Then, distribution network data acquisition devices are installed on these nodes. These devices can collect various data related to the operation status of the distribution network in real time. For example, the data types collected may include but are not limited to the following: distribution network equipment information, power outage event information, distribution network characteristic parameters, distribution network reliability target improvement rate, distribution network investment estimation data, etc. Specifically, the distribution network data acquisition device may include at least one of the following: distribution network status monitor, smart meter, remote terminal unit (RTU, Remote Terminal Unit), fault recorder, etc., which are not limited here. Through these devices, the operation data of the target distribution network can be collected in real time, and the collected data can be transmitted to the data center or cloud via the communication network for storage and analysis. In the data processing process, various analysis tools and algorithms can be used to process the collected distribution network data. For example, power outage event information can be used to calculate the average fault outage time of users and compare it with the distribution network reliability target improvement rate. The distribution network characteristic parameters can be analyzed through historical data to evaluate the operating efficiency of the distribution network and its improvement space.

[0045] S202: Determine key business indicators corresponding to the target distribution network resource data.

[0046] In an embodiment of the present application, key business indicators may refer to key parameters used to evaluate and measure reliability in a target distribution network, and these indicators may help manage and optimize the operating efficiency and service quality of the distribution network.

[0047] In a specific embodiment, the business indicators may be screened to select the indicators that are most relevant to the reliability of the target distribution network, that is, the key business indicators.

[0048] S203: Perform sensitivity analysis based on the key business indicators to obtain a reliability planning model.

[0049] In an embodiment of the present application, key business indicators may include: transferable power supply rate, feeder automation coverage rate, power supply radius, and average number of automation segments.

[0050] In a specific embodiment, the sensitivity of the key business indicators can be calculated to obtain the sensitivity of each key business, and sensitivity analysis can be performed based on the sensitivity of each key business indicator to obtain the reliability sensitivity of each key business indicator. In addition, a reliability planning model can also be determined.

[0051] Optionally, performing sensitivity analysis according to the key business indicators to obtain a reliability planning model may include the following steps:

[0052] A1. According to the distribution network equipment information, the power outage event information and the characteristic parameters of the target distribution network, the key business indicators are simulated and calculated to obtain a first reliability value corresponding to each key business indicator;

[0053] A2. According to the distribution network equipment information, the power outage event information and the key business indicators, increase each key business indicator by one unit, simulate and calculate the key business indicators, and obtain a second reliability value corresponding to each key business indicator;

[0054] A3. Subtract the first reliability value from the second reliability value corresponding to each key business indicator to obtain the sensitivity of each key business indicator;

[0055] A4. Planning is performed according to the distribution network reliability target improvement rate and the sensitivity of each key business indicator to obtain a reliability planning model for the key business indicators.

[0056] In this embodiment, the first reliability value corresponding to each key business indicator may be a default value. The first reliability value is a virtual signal, and its function is to serve as a benchmark comparison for sensitivity analysis.

[0057] In a specific embodiment, after determining the key business indicators, it is necessary to analyze the sensitivity of the key business indicators. The sensitivity of each key business indicator is closely related to the reliability planning model. Sensitivity analysis relies on the reliability calculation of the key business indicators, which is measured by comparing the difference between the reliability of the key business indicators before and after the change.

[0058] Specifically, first, a benchmark network is constructed for the target distribution network, and the reliability value of each key business indicator, i.e., the first reliability value, is calculated according to the distribution network equipment parameters, such as the reliability index value corresponding to the transfer rate, feeder automation coverage rate, average number of line segments, and cable rate. After the first reliability value of each key business indicator is calculated, each key business indicator is increased or decreased by one unit, and the reliability index value corresponding to the change of each key business indicator is calculated by simulation calculation, i.e., the second reliability value. Then, the reliability index difference before and after the change of each key business indicator is compared, and the second reliability value is subtracted from the corresponding first reliability value for each key business indicator to obtain the sensitivity of each key business indicator.

[0059] The sensitivity analysis of a key business indicator is illustrated by taking the sensitivity calculation of the cableization rate of the target power grid as an example. A benchmark network of a Class B power supply area is constructed. There are 20 feeders in the network, 10 of which are single cable radial lines and 10 are overhead multi-segment single interconnection lines. The power supply radius of each feeder is 3km, each with 20 distribution transformers (i.e., 20 users). The cable line is divided into a group of 4 users (supplied by the same switch station), and the switch stations are evenly distributed with an average interval of 600m. The overhead lines are divided into 3 sections, and the users are evenly distributed with an average interval of 150m. According to the existing equipment parameters, the first reliability index value is calculated. The length of each feeder in the benchmark example is increased by 1km, all overhead lines are changed to cable lines, and each line is reduced by 1 section. The other parameters remain unchanged, and the second reliability index value is calculated. Then, the reliability index values ​​before and after the change are compared, and the first reliability index value is subtracted from the second reliability index to obtain the sensitivity of the cableization rate of the target distribution network.

[0060] Furthermore, after obtaining the sensitivity of each key business indicator, the reliability planning model can be determined. Specifically, based on the user's average fault power outage event in the power outage event information, the objective function of the reliability planning model can be constructed. Then, according to the constraints that the optimization model needs to follow, the optimizable area of ​​the objective function can be planned. Finally, the objective function is planned within the optimizable area to obtain the reliability planning model.

[0061] Among them, the objective function of the reliability planning model can be defined by the user's average fault outage time reduction target Δt. The objective function of the reliability planning model can be expressed as:

[0062]

[0063] In the above formula, S l is the sensitivity of the transferable power supply rate to the average fault outage time of users, S a is the sensitivity of feeder automation coverage to the average fault outage time of users, S c is the sensitivity of the cabling rate to the average fault outage time of users, S s To automate the sensitivity of the average number of segments to the average fault outage time of users,

[0064] Among them, the constraints that the optimization model needs to follow can limit the target value and current value of each key business indicator. According to the constraints on the key business indicators, the linear programming area of ​​the objective function of the reliability planning model can be obtained. The constraints can be expressed as:

[0065]

[0066] in, is the current value of the convertible power supply rate, is the target value of the transferable power supply rate, the subscript l represents the transferable power supply rate in the key business indicators, the superscript 1 represents the corresponding target value, which is preset according to the target improvement rate of the distribution network reliability, and the superscript 0 represents the corresponding current value, which is the value of the transferable power supply rate obtained according to the current distribution network;

[0067]

[0068] in, is the current value of feeder automation coverage, is the target value of feeder automation coverage, the subscript a represents the feeder automation coverage in the key business indicators, the superscript 1 represents its corresponding target value, which is preset according to the target improvement rate of distribution network reliability, and the superscript 0 represents the corresponding current value, which is the value of feeder automation coverage obtained according to the current distribution network;

[0069]

[0070] in, is the current value of the cable rate, is the target value of the cable ratio, the subscript c represents the cable ratio in the key business indicators, the superscript 1 represents its corresponding target value, which is preset according to the target improvement rate of the distribution network reliability, and the superscript 0 represents the corresponding current value, which is the value of the cable ratio obtained according to the current distribution network;

[0071]

[0072] in, is the current value of the average number of automated segments, is the target value of the average number of automated segments. The subscript s represents the average number of automated segments in the key business indicators. The superscript 1 represents its corresponding target value, which is preset according to the target improvement rate of distribution network reliability. The superscript 0 represents the corresponding current value, which is the value of the average number of automated segments obtained from the current distribution network.

[0073] Specifically, first, based on the power outage event information, the reduction target of the average fault power outage time of users is calculated, and it is used as the objective function of the reliability planning model. Specifically, the objective function in the model is constructed by the sensitivity coefficients and target values ​​of multiple key business indicators, including: transferable power supply rate, feeder automation coverage rate, cable rate and average number of automated segments. The objective function aims to maximize the reduction of the average fault power outage time of users by optimizing these indicators. First, after obtaining the current values ​​of key business indicators (such as transferable power supply rate, feeder automation coverage rate, etc.), the sensitivity of each key business indicator to the average fault power outage time of users is calculated using historical data and power system simulation results. The sensitivity coefficient is used to quantify the degree of influence of each indicator on the reliability target. Then, based on the determined sensitivity coefficient, the objective function of the reliability planning model is constructed. The objective function is usually expressed as the sum of each sensitivity coefficient and its corresponding target value. Then, according to the business needs and the actual situation of the current system, the constraints of each key business indicator are set. These constraints ensure that when the objective function is optimized, the key business indicators change within a reasonable range to avoid unrealistic or unattainable optimization results. Among them, these constraints can be expressed as linear inequalities, which limit the upper and lower limits of each indicator in the optimization process. Then, according to the set constraints, the optimizable area of ​​the reliability planning model is determined. This area represents the optimal solution range that the objective function can reach under the premise of complying with various constraints. Through the linear programming algorithm, the feasible solution set in the area is delineated. Finally, in the determined optimizable area, the objective function is solved. The gradient descent method, genetic algorithm or other suitable optimization algorithms can be used to find the optimal combination of business indicators so that the average fault outage time of users reaches the expected minimum value.

[0074] S204: Perform cost calculation according to the target distribution network resource data and the key business indicators to obtain a cost calculation model.

[0075] In an embodiment of the present application, the target distribution network resource data includes characteristic parameter data of primary equipment and secondary equipment in the distribution network, and improvement targets for key business indicators in the distribution network.

[0076] In a specific embodiment, the characteristic parameters of the primary equipment in the target distribution network are collected and analyzed. These parameters may include the rated capacity, service life, failure rate, etc. of the equipment. By analyzing and processing this information, the investment estimation data of the primary equipment can be obtained. In addition, the characteristic parameter data of the secondary equipment in the distribution network needs to be obtained and analyzed accordingly to obtain the investment estimation data of the secondary equipment. Then, according to the improvement requirements of key business indicators, the investment estimation data of the primary equipment and the secondary equipment are calculated by a preset formula to obtain the investment requirements of each key business indicator. Finally, the investment required for all key business indicators is summarized, and the cost calculation model for the improvement of the key business indicators is obtained with the minimum total investment as the goal. By summing up these investment requirements and minimizing them, the minimum investment cost required under the premise of meeting the improvement of key business indicators can be determined, thereby forming the final cost calculation model.

[0077] Optionally, performing cost calculation according to the target distribution network resource data and the key business indicators to obtain a cost calculation model may include the following steps:

[0078] B1. Acquire characteristic parameter data of primary equipment in the target distribution network resource data to obtain an investment estimate of the primary equipment characteristics;

[0079] B2. Perform cost calculation based on the improvement of the key business indicators and the investment estimate of the primary equipment to obtain the investment required for the key business indicators of the primary equipment;

[0080] B3. Acquire characteristic parameter data of secondary equipment in the target distribution network resource data to obtain an investment estimate of the secondary equipment characteristics;

[0081] B4. Perform cost calculation based on the improvement of the key business indicators and the investment estimate of the secondary equipment to obtain the investment required for the key business indicators of the secondary equipment;

[0082] B5. Based on the minimum total investment target, the investment required for the key business indicators of the primary equipment and the investment required for the key business indicators of the secondary equipment are combined to obtain a cost calculation model for improving the key business indicators.

[0083] Specifically, the characteristic parameter data of primary equipment, the characteristic parameter data of secondary equipment, the investment estimate of primary equipment characteristics, and the investment estimate of secondary equipment characteristics are obtained from the target distribution network resource data, wherein the characteristic parameter data of primary equipment includes: the number of overhead single radial lines N ol 、Number of single cable radiation lines cl , Total number of medium voltage public lines N l 、Number of overhead lines oThe investment estimate of primary equipment characteristics includes: the investment estimate of adding connections to the overhead single radial line C ol , Estimation of investment for increasing the connection of a single cable radial line C cl , Investment estimation of new cable lines C cn , Investment estimation for adding sectionalizing switches to overhead lines C os , the characteristic parameter data of secondary equipment include: the number of overhead lines that have not implemented feeder automation transformation N oa 、Number of cable routes that have not been transformed into feeder automation ca , the investment estimate of secondary equipment characteristics includes: investment estimate of feeder automation transformation for overhead lines C oa , Investment estimation for feeder automation transformation of cable lines C ca wait,

[0084] Optionally, the step of combining the investment required for the key business indicators of the primary equipment and the investment required for the key business indicators of the secondary equipment based on the minimum total investment target to obtain a cost calculation model for improving the key business indicators may include the following steps:

[0085] C1. Calculate the investment required for improving the convertible power supply rate by using a preset first formula based on the characteristic parameter data of the primary equipment and the investment estimate of the characteristics of the primary equipment;

[0086] C2. Calculating the investment required for improving feeder automation coverage by using a preset second formula based on the characteristic parameter data of the secondary equipment and the investment estimate of the secondary equipment characteristics;

[0087] C3. Calculate the investment required for improving the cabling rate by using a preset third formula according to the characteristic parameter data of the primary equipment and the investment estimate of the characteristics of the primary equipment;

[0088] C4. Calculate the investment required for increasing the average number of segments by using a preset fourth formula according to the characteristic parameter data of the primary equipment and the investment estimate of the characteristics of the primary equipment;

[0089] C5. Sum the investment required for improving the convertible power supply rate, the investment required for improving the feeder automation coverage rate, the investment required for improving the cable rate and the investment required for increasing the average number of segments and take the minimum, to obtain a cost calculation model for improving the key business indicators.

[0090] Specifically, based on the above, the target improvement rate of each key business indicator can be calculated according to the preset first, second, third and fourth formulas to obtain the investment C required for the improvement of the available power conversion rate. l , Investment required to improve feeder automation coverage C a, Investment required to increase the cabling rate C c , the average number of overhead line segments increases, requiring more investment C s , where the symbols in the following preset formula represent the following meanings: Number of overhead single radial lines N ol 、Number of single cable radiation lines cl , Total number of medium voltage public lines N l 、Number of overhead lines o , Investment estimation for increasing the connection of overhead single radial line C ol , Estimation of investment for increasing the connection of a single cable radial line C cl , Investment estimation of new cable lines C cn , Investment estimation for adding sectionalizing switches to overhead lines C os 、Number of overhead lines that have not been transformed into feeder automation oa 、Number of cable routes that have not been transformed into feeder automation ca , Investment estimation for feeder automation transformation of overhead lines oa , Investment estimation for feeder automation transformation of cable lines C ca ,

[0091] The preset first formula can be expressed as:

[0092]

[0093] In the above formula, The target value of the available power conversion rate is preset according to the target improvement rate of the distribution network reliability. is the current value of the transferable power supply rate, which is the value of the transferable power supply rate obtained based on the current distribution network;

[0094] The preset second formula can be expressed as:

[0095]

[0096] In the above formula, is the target value of feeder automation coverage, which is preset according to the target improvement rate of distribution network reliability. The current value of feeder automation coverage is the value of feeder automation rate obtained based on the current distribution network;

[0097] Among them, the preset third formula can be expressed as:

[0098]

[0099] In the above formula, is the target value of the cable ratio, which is preset according to the target improvement rate of distribution network reliability. The current value of the cable ratio is the value of the cable ratio obtained based on the current distribution network;

[0100] The preset fourth formula can be expressed as:

[0101]

[0102] In the above formula, It is the target value of the average number of automated segments. The target value is preset according to the target improvement rate of distribution network reliability. The current value of the average number of automation segments is the value of the average number of automation segments obtained based on the current distribution network.

[0103] Furthermore, the investment required for improving each key business indicator is obtained, and the investment required for improving each key business indicator is summed up and the minimum value is taken to obtain the cost calculation model for improving the key business indicators.

[0104] Among them, the objective function of the cost calculation model can be expressed as:

[0105] F=min(C l +C a +C c +C s )

[0106] Specifically, according to the objective function of the cost calculation model, a planning strategy with the minimum total investment amount can be solved, wherein the planning strategy corresponds to the value of the characteristic parameter in the target distribution network resource data.

[0107] S205: Determine a reliability planning strategy model with a minimum total investment as a goal based on the reliability planning model and the cost calculation model.

[0108] In an embodiment of the present application, based on the reliability planning model and cost calculation model constructed as described above, the cost-benefit ratio of each key business indicator is calculated. Specifically, by performing sensitivity analysis on the key business indicators and calculating the corresponding investment needs, the cost-benefit ratio corresponding to each key business indicator can be obtained. These indicators may include the transferable power supply rate, feeder automation coverage rate, cable rate, and average number of automation segments.

[0109] In a specific embodiment, the cost-effectiveness ratio of each key business indicator can be prioritized first, thereby forming a priority sequence. The priority sequence is sorted according to the descending order of the cost-effectiveness ratio of each key business indicator, and usually the indicators with high cost-effectiveness ratio are given priority, so as to ensure that the reliability of the distribution network is maximized under limited investment conditions. Under the constraints followed by the optimization of key business indicators, adjustments are made according to the above priority sequence to obtain an adjusted priority sequence. The adjustment process needs to consider the actual business needs, the current status of the distribution network, and the correlation between the various business indicators to ensure that the final priority sequence is reasonable and feasible. Then, according to the adjusted priority sequence, the investment amount required to improve each key business indicator is calculated, and these investment amounts are summed to obtain the total investment amount of each key business indicator and the total investment amount of the entire reliability planning. This process includes calculating the required investment item by item and considering the interaction between various investments to ensure the accuracy of the total investment amount. Finally, based on the investment amount required to improve each key business indicator and the total reliability planning investment amount, a reliability planning strategy model with the minimum total investment as the goal is constructed. This model can provide decision makers with an optimal strategy to improve the reliability of the distribution network within the investment budget, ensuring the maximum improvement of the distribution network reliability under limited resource conditions.

[0110] Optionally, determining the reliability planning strategy model with the minimum total investment as the goal according to the reliability planning model and the cost calculation model may include the following steps:

[0111] D1. Calculate the sensitivity of each key business indicator and the investment data required for each key business indicator to obtain the cost-effectiveness ratio corresponding to each key business indicator;

[0112] D2. Prioritize the cost-benefit ratio corresponding to each of the key business indicators to obtain a priority sequence of the cost-benefit ratio;

[0113] D3. Under the constraints followed by the optimization of key business indicators, the priority sequence is adjusted to obtain an adjusted priority sequence;

[0114] D4. Calculate the investment amount required for improving the key business indicators in the adjusted priority sequence and sum them up to obtain the investment amount required for improving each key business indicator and the total reliability planning investment amount;

[0115] D5. Build a model based on the investment required to improve each of the above key business indicators and the total reliability planning investment to obtain a reliability planning strategy model with the minimum total investment.

[0116] Specifically, the cost-effectiveness ratio is solved for each key business indicator in order to obtain the relationship between the reliability sensitivity of the key business indicator and the investment required for its improvement, and the cost-effectiveness ratio C of the convertible power supply rate is obtained in turn. l / S l , Cost-effectiveness ratio of feeder automation coverage C a / S a , the cost-effectiveness ratio of cabling rate C c / S c Cost-effectiveness ratio C of the average number of overhead line segments s / S s ,By solving and comparing the cost-benefit ratio of each of the above key business indicators, a priority sequence based on investment benefits can be established, which can then guide the optimal allocation of resources and maximize the reliability goals of the distribution network while ensuring the minimization of investment.

[0117] Optionally, adjusting the priority sequence under the constraint conditions followed by the optimization of the key business indicators to obtain an adjusted priority sequence may include the following:

[0118] E1. Solving the constraints according to the constraints to obtain an optimization region of the optimization model;

[0119] E2. determining an optimization strategy target of an optimization model according to the current value of the at least one key business indicator, the target value of the at least one key business indicator, and the sensitivity of the at least one key business indicator;

[0120] E3. According to the optimization strategy goal, optimization adjustment is performed in the optimization area to obtain an adjusted priority sequence.

[0121] Specifically, in the optimization and adjustment process, it may be necessary to further refine the sensitivity analysis and cost-effectiveness calculation of key business indicators to ensure that each adjustment step is based on data-driven scientific decision-making. For example, specific indicators such as the transferable power supply rate, feeder automation coverage, cable rate, and average number of automated segments can be optimized item by item in combination with their impact on distribution network reliability and investment costs, and ultimately form a comprehensive priority sequence to guide subsequent implementation and resource allocation.

[0122] S206: Input the target distribution network resource data into the reliability planning strategy model to obtain a reliability planning strategy with the minimum total investment amount.

[0123] In the embodiment of the present application, the reliability planning strategy with the smallest total investment amount may be a parameter of each key business indicator, or may be a solution method step for solving the reliability planning strategy with the smallest total amount.

[0124] In a specific embodiment, the cost-effectiveness ratio of each key business indicator can be prioritized first to form a priority sequence. According to the adjusted priority sequence, the investment amount required to improve each key business indicator is calculated, and these investment amounts are summed to obtain the total investment amount of each key business indicator and the total investment amount of the entire reliability planning. Then, according to the parameter values ​​of each key indicator in the process of obtaining the total investment amount, the parameter values ​​and the solution process are output. This process includes calculating the required investment item by item and considering the interaction between various investments to ensure the accuracy of the total investment amount.

[0125] Optionally, the reliability planning strategy for minimizing the total output investment amount may include the following steps:

[0126] F1. Perform linear programming based on the sensitivity of each key business indicator to obtain a reliability planning model;

[0127] F2. Obtain the cost-benefit ratio corresponding to each key business indicator by calculating the ratio between the investment required for improving each key business and the sensitivity of each key business;

[0128] F3. Optimize and adjust the cost-benefit ratio and combine it with the investment required for key business indicators to obtain the total reliability planning investment amount;

[0129] F4. Find the minimum value of the total reliability planning investment amount to obtain a reliability planning strategy model with the minimum total investment amount.

[0130] F5. Input the target distribution network resource data into the reliability planning strategy model with the minimum total investment amount to obtain the reliability planning strategy with the minimum total investment amount.

[0131] Specifically, the sensitivity of each key business indicator is evaluated, and a linear programming model is constructed in combination with the actual operation of the distribution network and planning requirements. The model aims to determine the optimal configuration of each key business indicator under constraints through a linear programming algorithm, so that the overall planning goal can be achieved within a feasible range. Then, the cost-effectiveness ratio of each business indicator is obtained by dividing the investment amount required to improve each key business indicator by its corresponding sensitivity value. This ratio can intuitively reflect the effectiveness of each unit of investment in improving the business indicator, thereby providing an important reference for subsequent optimization decisions. Then, the cost-effectiveness ratio of each key business indicator is ranked according to size. Sorting, and optimizing and adjusting according to the sorting results. During the optimization and adjustment process, it is necessary to comprehensively consider the actual investment needs of each key business indicator to ensure that the reliability planning effect is maximized while the overall investment amount is controllable. On the basis of the total investment amount calculated in the previous step, further optimization and solution are performed to find a planning strategy with the minimum total investment amount as the goal. The optimization is solved iteratively to finally determine a reliability planning strategy model with the minimum total investment amount among all feasible planning schemes. Finally, the target distribution network resource data is input into the optimal strategy model for actual application. Through model calculation, the output result is the reliability planning strategy with the minimum total investment amount.

[0132] In summary, by implementing the embodiments of the present application, the target distribution network resource data is obtained; the key business indicators corresponding to the target distribution network resource data are determined; a sensitivity analysis is performed according to the key business indicators to obtain a reliability planning model; cost calculation is performed according to the target distribution network resource data and the key business indicators to obtain a cost calculation model; a reliability planning strategy model with the minimum total investment as the goal is determined according to the reliability planning model and the cost calculation model; the target distribution network resource data is input into the reliability planning strategy model to obtain a reliability planning strategy with the minimum total investment amount. In this way, a reliability planning model for key businesses is constructed by performing a sensitivity analysis on key business indicators by obtaining equipment information, power outage event information, distribution characteristic parameters and distribution network reliability target improvement rate. Then, the improvement cost of key business indicators is calculated, and the cost-effectiveness ratio of key business indicators is calculated to construct a cost calculation model for improving key business indicators based on typical scenarios. Finally, the reliability planning model and the cost calculation model for improving key business indicators are combined to form a reliability planning strategy model with the minimum total investment as the goal, and finally the reliability planning strategy with the minimum total investment is output.

[0133] See also Figure 3 , Figure 3 3 is a functional unit composition block diagram of a device 300 for a distribution network reliability planning strategy provided in an embodiment of the present application. Figure 3The device 300 for planning the reliability strategy of the distribution network shown includes: an acquisition unit 301, a determination unit 302, a calculation unit 303, and an output unit 304, wherein:

[0134] The acquisition unit 301 is used to acquire target distribution network resource data;

[0135] The determining unit 302 is used to determine the key business indicators corresponding to the target distribution network resource data;

[0136] The calculation unit 303 is used to perform sensitivity analysis according to the key business indicators to obtain a reliability planning strategy model;

[0137] The calculation unit 303 is further used to perform cost calculation according to the target distribution network resource data and the key business indicators to obtain a cost calculation model;

[0138] The determining unit 302 is further configured to determine a reliability planning strategy model with a minimum total investment as a goal based on the reliability planning strategy model and the cost calculation model;

[0139] The output unit 304 is used to input the target distribution network resource data into the reliability planning strategy model with the minimum total investment as the goal, so as to obtain a reliability planning strategy with the minimum total investment amount.

[0140] Optionally, in performing sensitivity analysis according to the key business indicators to obtain a reliability planning model, the calculation unit 303 is specifically used to:

[0141] According to the distribution network equipment information, the power outage event information and the target distribution network characteristic parameters, the key business indicators are simulated and calculated to obtain a first reliability value corresponding to each key business indicator;

[0142] According to the distribution network equipment information, the power outage event information and the key business indicators, each key business indicator is increased by one unit increment, the key business indicator is simulated and calculated, and a second reliability value corresponding to each key business indicator is obtained;

[0143] Subtract the first reliability value from the second reliability value corresponding to each key business indicator to obtain the sensitivity of each key business indicator;

[0144] Planning is performed according to the distribution network reliability target improvement rate and the sensitivity of each key business indicator to obtain a reliability planning model for the key business indicators.

[0145] Optionally, in the aspect of performing cost calculation according to the target distribution network resource data and the key business indicators to obtain a cost calculation model, the calculation unit 303 is further specifically used for:

[0146] Acquire characteristic parameter data of primary equipment in the target distribution network resource data to obtain an investment estimate of the primary equipment characteristics;

[0147] Perform cost calculation based on the improvement of the key business indicators and the investment estimate of the primary equipment to obtain the investment required for the key business indicators of the primary equipment;

[0148] Acquire characteristic parameter data of secondary equipment in the target distribution network resource data to obtain an investment estimate of the secondary equipment characteristics;

[0149] Perform cost calculation based on the improvement of the key business indicators and the investment estimate of the secondary equipment to obtain the investment required for the key business indicators of the secondary equipment;

[0150] Based on the minimum total investment target, the investment required for the key business indicators of the primary equipment and the investment required for the key business indicators of the secondary equipment are combined to obtain a cost calculation model for improving the key business indicators.

[0151] Optionally, in the aspect of combining the investment required for the key business indicators of the primary equipment and the investment required for the key business indicators of the secondary equipment based on the minimum total investment target to obtain a cost calculation model for improving the key business indicators, the calculation unit 303 is specifically used for:

[0152] According to the characteristic parameter data of the primary equipment and the investment estimation of the characteristics of the primary equipment, the investment required for improving the convertible power supply rate is calculated by a preset first formula;

[0153] According to the secondary equipment characteristic parameter data and the investment estimation of the secondary equipment characteristics, the investment required for improving the feeder automation coverage is calculated by a preset second formula;

[0154] According to the characteristic parameter data of the primary equipment and the investment estimation of the characteristics of the primary equipment, the investment required for improving the cabling rate is calculated by a preset third formula;

[0155] According to the characteristic parameter data of the primary equipment and the investment estimation of the characteristics of the primary equipment, the investment required for increasing the average number of segments is calculated by a preset fourth formula;

[0156] The cost calculation model for improving the key business indicators is obtained by summing up the investment required for improving the convertible power supply rate, the investment required for improving the feeder automation coverage rate, the investment required for improving the cable rate and the investment required for increasing the average number of sections and taking the minimum.

[0157] Optionally, in determining the reliability planning strategy model with the minimum total investment as the goal according to the reliability planning model and the cost calculation model, the calculation unit 303 is specifically used to:

[0158] Calculating the sensitivity of each key business indicator and the investment data required for each key business indicator to obtain a cost-effectiveness ratio corresponding to each key business indicator;

[0159] Prioritizing the cost-benefit ratio corresponding to each of the key business indicators to obtain a priority sequence of the cost-benefit ratio;

[0160] Under the constraints followed by the optimization of key business indicators, the priority sequence is adjusted to obtain an adjusted priority sequence;

[0161] Calculating and summing the investment amounts required for improving the key business indicators in the adjusted priority sequence to obtain the investment amounts required for improving each key business indicator and the total reliability planning investment amount;

[0162] A model is constructed based on the investment amount required to improve each of the above key business indicators and the total reliability planning investment amount to obtain a reliability planning strategy model with the minimum total investment.

[0163] Optionally, under the constraint conditions followed by the optimization of the key business indicators, the priority sequence is adjusted to obtain an adjusted priority sequence, and the calculation unit 303 is specifically used to:

[0164] According to the constraint conditions, the constraint conditions are solved to obtain an optimization region of the optimization model;

[0165] Determining an optimization strategy target of an optimization model according to the current value of the at least one key business indicator, the target value of the at least one key business indicator, and the sensitivity of the at least one key business indicator;

[0166] According to the optimization strategy goal, optimization adjustment is performed in the optimization area to obtain an adjusted priority sequence.

[0167] Optionally, in terms of the reliability planning strategy for outputting the minimum total investment amount, the calculation unit 303 and the output unit 304 are specifically used for:

[0168] Under the constraint conditions, linear programming is performed according to the sensitivity of each key business indicator to obtain a reliability planning model;

[0169] By calculating the ratio between the investment required for improving each key business and the sensitivity of each key business, the cost-benefit ratio corresponding to each key business indicator is obtained;

[0170] The total reliability planning investment amount is obtained by optimizing and adjusting the cost-benefit ratio and combining the investment amount required for key business indicators;

[0171] Finding a minimum value for the total reliability planning investment amount to obtain a reliability planning strategy model with a minimum total investment amount;

[0172] The target distribution network resource data is input into the reliability planning strategy model with the minimum total investment amount to obtain the reliability planning strategy with the minimum total investment amount.

[0173] In a specific implementation, the device 300 for the distribution network reliability planning strategy described in the embodiment of the present invention can also execute other implementation methods described in the distribution network reliability planning strategy method provided in the above embodiment of the present invention, which will not be repeated here.

[0174] See also Figure 4 , Figure 4 : is a structural diagram of an electronic device provided in an embodiment of the present application. The electronic device may include a processor and a memory. The electronic device may also include a communication interface. The processor, the memory and the communication interface may be interconnected through a bus. The one or more programs are stored in the memory and configured to be executed by the processor. In the embodiment of the present application, the program includes instructions for executing the following steps:

[0175] Obtain target distribution network resource data;

[0176] Determine the key business indicators corresponding to the target distribution network resource data;

[0177] Perform sensitivity analysis based on the key business indicators to obtain a reliability planning model;

[0178] Perform cost calculation based on the target distribution network resource data and the key business indicators to obtain a cost calculation model;

[0179] Determining a reliability planning strategy model with a minimum total investment as a goal based on the reliability planning model and the cost calculation model;

[0180] The target distribution network resource data is input into the reliability planning strategy model to obtain a reliability planning strategy with the minimum total investment amount.

[0181] Optionally, in the aspect of performing sensitivity analysis according to the key business indicators to obtain a reliability planning model, the program includes instructions for executing the following steps:

[0182] According to the distribution network equipment information, the power outage event information and the target distribution network characteristic parameters, the key business indicators are simulated and calculated to obtain a first reliability value corresponding to each key business indicator;

[0183] According to the distribution network equipment information, the power outage event information and the key business indicators, each key business indicator is increased by one unit increment, the key business indicator is simulated and calculated, and a second reliability value corresponding to each key business indicator is obtained;

[0184] Subtract the first reliability value from the second reliability value corresponding to each key business indicator to obtain the sensitivity of each key business indicator;

[0185] Planning is performed according to the distribution network reliability target improvement rate and the sensitivity of each key business indicator to obtain a reliability planning model for the key business indicators.

[0186] Optionally, in the aspect of performing cost calculation according to the target distribution network resource data and the key business indicators to obtain a cost calculation model, the program includes instructions for executing the following steps:

[0187] Acquire characteristic parameter data of primary equipment in the target distribution network resource data to obtain an investment estimate of the primary equipment characteristics;

[0188] Perform cost calculation based on the improvement of the key business indicators and the investment estimate of the primary equipment to obtain the investment required for the key business indicators of the primary equipment;

[0189] Acquire characteristic parameter data of secondary equipment in the target distribution network resource data to obtain an investment estimate of the secondary equipment characteristics;

[0190] Perform cost calculation based on the improvement of the key business indicators and the investment estimate of the secondary equipment to obtain the investment required for the key business indicators of the secondary equipment;

[0191] Based on the minimum total investment target, the investment required for the key business indicators of the primary equipment and the investment required for the key business indicators of the secondary equipment are combined to obtain a cost calculation model for improving the key business indicators.

[0192] Optionally, in the aspect of combining the investment required for the key business indicators of the primary equipment and the investment required for the key business indicators of the secondary equipment based on the minimum total investment target to obtain a cost calculation model for improving the key business indicators, the program includes instructions for executing the following steps:

[0193] According to the characteristic parameter data of the primary equipment and the investment estimation of the characteristics of the primary equipment, the investment required for improving the convertible power supply rate is calculated by a preset first formula;

[0194] According to the secondary equipment characteristic parameter data and the investment estimation of the secondary equipment characteristics, the investment required for improving the feeder automation coverage is calculated by a preset second formula;

[0195] According to the characteristic parameter data of the primary equipment and the investment estimation of the characteristics of the primary equipment, the investment required for improving the cabling rate is calculated by a preset third formula;

[0196] According to the characteristic parameter data of the primary equipment and the investment estimation of the characteristics of the primary equipment, the investment required for increasing the average number of segments is calculated by a preset fourth formula;

[0197] The cost calculation model for improving the key business indicators is obtained by summing up the investment required for improving the convertible power supply rate, the investment required for improving the feeder automation coverage rate, the investment required for improving the cable rate and the investment required for increasing the average number of sections and taking the minimum.

[0198] Optionally, in determining the reliability planning strategy model with the minimum total investment as the goal according to the reliability planning model and the cost calculation model, the program includes instructions for executing the following steps:

[0199] Calculating the sensitivity of each key business indicator and the investment data required for each key business indicator to obtain a cost-effectiveness ratio corresponding to each key business indicator;

[0200] Prioritizing the cost-benefit ratio corresponding to each of the key business indicators to obtain a priority sequence of the cost-benefit ratio;

[0201] Under the constraints followed by the optimization of key business indicators, the priority sequence is adjusted to obtain an adjusted priority sequence;

[0202] Calculating and summing the investment amounts required for improving the key business indicators in the adjusted priority sequence to obtain the investment amounts required for improving each key business indicator and the total reliability planning investment amount;

[0203] A model is constructed based on the investment amount required to improve each of the above key business indicators and the total reliability planning investment amount to obtain a reliability planning strategy model with the minimum total investment.

[0204] Optionally, in terms of adjusting the priority sequence under the constraint conditions followed by the optimization of the key business indicators to obtain an adjusted priority sequence, the program includes instructions for executing the following steps:

[0205] According to the constraint conditions, the constraint conditions are solved to obtain an optimization region of the optimization model;

[0206] Determining an optimization strategy target of an optimization model according to the current value of the at least one key business indicator, the target value of the at least one key business indicator, and the sensitivity of the at least one key business indicator;

[0207] According to the optimization strategy goal, optimization adjustment is performed in the optimization area to obtain an adjusted priority sequence.

[0208] Optionally, in terms of the reliability planning strategy for minimizing the total output investment amount, the program includes instructions for executing the following steps:

[0209] Under the constraint conditions, linear programming is performed according to the sensitivity of each key business indicator to obtain a reliability planning model;

[0210] By calculating the ratio between the investment required for improving each key business and the sensitivity of each key business, the cost-benefit ratio corresponding to each key business indicator is obtained;

[0211] The total reliability planning investment amount is obtained by optimizing and adjusting the cost-benefit ratio and combining the investment amount required for key business indicators;

[0212] Finding a minimum value for the total reliability planning investment amount to obtain a reliability planning strategy model with a minimum total investment amount;

[0213] The target distribution network resource data is input into the reliability planning strategy model with the minimum total investment amount to obtain the reliability planning strategy with the minimum total investment amount.

[0214] An embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps of any method described in the above method embodiments, and the above computer includes an electronic device.

[0215] The embodiment of the present application also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, the computer program is operable to cause a computer to execute some or all of the steps of any method described in the method embodiment. The computer program product may be a software installation package, and the computer includes an electronic device.

[0216] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0217] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0218] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the above-mentioned units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0219] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0220] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0221] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the above-mentioned methods of each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or CD-ROM and other media that can store program codes.

[0222] The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A distribution network reliability planning method, characterized in that: The method comprises: Obtain target distribution network resource data; Determine the key business indicators corresponding to the target distribution network resource data; Perform sensitivity analysis based on the key business indicators to obtain a reliability planning model; Perform cost calculation based on the target distribution network resource data and the key business indicators to obtain a cost calculation model; Determining a reliability planning strategy model with a minimum total investment as a goal based on the reliability planning model and the cost calculation model; The target distribution network resource data is input into the reliability planning strategy model to obtain a reliability planning strategy with the minimum total investment amount.

2. The method according to claim 1, characterized in that The target distribution network resource data includes: distribution network equipment information, power outage event information, target distribution network characteristic parameters and distribution network reliability target improvement rate; the key business indicators include: transferable power supply rate, feeder automation coverage rate, cable rate and average number of automation segments; the sensitivity analysis based on the key business indicators to obtain a reliability planning model includes: According to the distribution network equipment information, the power outage event information and the target distribution network characteristic parameters, the key business indicators are simulated and calculated to obtain a first reliability value corresponding to each key business indicator; According to the distribution network equipment information, the power outage event information and the key business indicators, each key business indicator is increased by one unit increment, the key business indicator is simulated and calculated, and a second reliability value corresponding to each key business indicator is obtained; Subtract the first reliability value from the second reliability value corresponding to each key business indicator to obtain the sensitivity of each key business indicator; Planning is performed according to the distribution network reliability target improvement rate and the sensitivity of each key business indicator to obtain a reliability planning model for the key business indicators.

3. The method according to claim 1, characterized in that The cost calculation is performed according to the target distribution network resource data and the key business indicators to obtain a cost calculation model, including: Acquire characteristic parameter data of primary equipment in the target distribution network resource data to obtain an investment estimate of the primary equipment characteristics; Perform cost calculation based on the improvement of the key business indicators and the investment estimate of the primary equipment to obtain the investment required for the key business indicators of the primary equipment; Acquire characteristic parameter data of secondary equipment in the target distribution network resource data to obtain an investment estimate of the secondary equipment characteristics; Perform cost calculation based on the improvement of the key business indicators and the investment estimate of the secondary equipment to obtain the investment required for the key business indicators of the secondary equipment; Based on the minimum total investment target, the investment required for the key business indicators of the primary equipment and the investment required for the key business indicators of the secondary equipment are combined to obtain a cost calculation model for improving the key business indicators.

4. The method according to claim 3, characterized in that The cost calculation model for improving the key business indicators by combining the investment required for the key business indicators of the primary equipment and the investment required for the key business indicators of the secondary equipment based on the minimum total investment target includes: According to the characteristic parameter data of the primary equipment and the investment estimation of the characteristics of the primary equipment, the investment required for improving the convertible power supply rate is calculated by a preset first formula; According to the characteristic parameter data of the secondary equipment and the investment estimation of the characteristics of the secondary equipment, the investment required for improving the feeder automation coverage is calculated by a preset second formula; According to the characteristic parameter data of the primary equipment and the investment estimation of the characteristics of the primary equipment, the investment required for improving the cabling rate is calculated by a preset third formula; According to the characteristic parameter data of the primary equipment and the investment estimation of the characteristics of the primary equipment, the investment required for increasing the average number of segments is calculated by a preset fourth formula; The cost calculation model for improving the key business indicators is obtained by summing up the investment required for improving the convertible power supply rate, the investment required for improving the feeder automation coverage rate, the investment required for improving the cable rate and the investment required for increasing the average number of sections and taking the minimum.

5. The method according to any one of claims 1 to 3, characterized in that: Determining a reliability planning strategy model with a minimum total investment as a goal based on the reliability planning model and the cost calculation model includes: Calculating the sensitivity of each key business indicator and the investment data required for each key business indicator to obtain a cost-effectiveness ratio corresponding to each key business indicator; Prioritizing the cost-benefit ratio corresponding to each of the key business indicators to obtain a priority sequence of the cost-benefit ratio; Under the constraints followed by the optimization of key business indicators, the priority sequence is adjusted to obtain an adjusted priority sequence; Calculating and summing the investment amounts required for improving the key business indicators in the adjusted priority sequence to obtain the investment amounts required for improving each key business indicator and the total reliability planning investment amount; A model is constructed based on the investment amount required to improve each of the above key business indicators and the total reliability planning investment amount to obtain a reliability planning strategy model with the minimum total investment.

6. The method according to claim 5, characterized in that The constraint conditions followed in the optimization of key business indicators include: the current value of the key business indicator is less than or equal to its corresponding target value, and at least one key business indicator is less than or equal to 1. Under the constraint conditions followed by the optimization of key business indicators, the priority sequence is adjusted to obtain the adjusted priority sequence, including: According to the constraint conditions, the constraint conditions are solved to obtain an optimization region of the optimization model; Determining an optimization strategy target of an optimization model according to the current value of the at least one key business indicator, the target value of the at least one key business indicator, and the sensitivity of the at least one key business indicator; According to the optimization strategy goal, optimization adjustment is performed in the optimization area to obtain an adjusted priority sequence.

7. The method according to any one of claims 1 to 4, characterized in that: The reliability planning strategy for obtaining the minimum total investment amount includes: Perform linear programming based on the sensitivity of each key business indicator to obtain a reliability planning model; By calculating the ratio between the investment required for improving each key business and the sensitivity of each key business, the cost-benefit ratio corresponding to each key business indicator is obtained; The total reliability planning investment amount is obtained by optimizing and adjusting the cost-benefit ratio and combining the investment amount required for key business indicators; Finding a minimum value for the total reliability planning investment amount to obtain a reliability planning strategy model with a minimum total investment amount; The target distribution network resource data is input into the reliability planning strategy model with the minimum total investment amount to obtain the reliability planning strategy with the minimum total investment amount.

8. A distribution network reliability planning device, characterized in that: The device for distribution network reliability planning includes: an acquisition unit, a determination unit, a calculation unit, and an output unit, wherein: The acquisition unit is used to acquire target distribution network resource data; The determining unit is used to determine the key business indicators corresponding to the target distribution network resource data; The computing unit is used to perform sensitivity analysis according to the key business indicators to obtain a reliability planning strategy model; The calculation unit is further used to perform cost calculation according to the target distribution network resource data and the key business indicators to obtain a cost calculation model; The determination module is further used to determine a reliability planning strategy model with a minimum total investment as a goal based on the reliability planning strategy model and the cost calculation model; The output unit is used to input the target distribution network resource data into the reliability planning strategy model with the minimum total investment as the goal, so as to obtain the reliability planning strategy with the minimum total investment amount.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the memory is used to store one or more programs and is configured to be executed by the processor, wherein the program includes instructions for executing the steps in the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program for electronic data exchange is stored, wherein the computer program enables a computer to execute the method according to any one of claims 1 to 7.

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