Optimal layout method and system for photovoltaic storage system for distribution network

Abstract

The present application discloses a method and system for optimizing the layout of a photovoltaic storage system for a distribution network. The method performs cluster analysis on problematic scenarios in the distribution network to determine typical application scenarios of the photovoltaic storage system. Based on scenario indicators of typical application scenarios, an application evaluation index system for photovoltaic storage systems in medium and low voltage distribution networks is established. Based on the total power supply in the distribution network coverage area, a hierarchical clustering analysis method is used to calculate the photovoltaic storage equipment configuration scheme for the distribution network. The configuration scheme includes the type and location of power supply equipment. Based on the total power supply and configuration scheme in the distribution network coverage area, the evaluation score of each configuration scheme is calculated using the application evaluation index system to determine the target photovoltaic storage system layout scheme. The technical solution provided by the present application can reasonably determine the equipment construction location and configuration capacity, and improve the rationality and reliability of planning.

Description

Technical Field

[0001] The present application relates to the technical field of distribution network, and in particular to a method and system for optimizing the layout of a photovoltaic storage system for a distribution network. Background Art

[0002] In order to solve the low voltage problem of power supply line users in remote areas, reduce the investment in distribution network transformation, and improve the utilization level of equipment, the integrated photovoltaic storage low voltage management equipment can be applied in the power system. The equipment has the advantages of small size, easy installation, low equipment cost and good economy. At the same time, considering the shortage of rural road resources, the equipment is designed to be small in size and small in footprint for easy construction and installation. It is easy to assemble and install an integrated structure and has good application prospects. The main configuration parameters of the above-mentioned management equipment are battery capacity and photovoltaic panel capacity. The battery capacity directly affects the low voltage management effect and cost, while the photovoltaic panel is mainly to supplement the line loss caused by battery charging and discharging, and its capacity size matches the battery loss.

[0003] However, the existing photovoltaic and storage integrated low voltage management equipment has the following main problems:

[0004] (1) Failure to consider situations such as heavy equipment overload and low equipment utilization, failure to conduct a comprehensive review of the power consumption characteristics of power supply lines in remote areas, and incomplete equipment application scenarios;

[0005] (2) There is a lack of effective methods to determine the appropriate location and capacity of equipment;

[0006] (3) Distribution network planning relies on the experience of construction personnel, which is not rational enough and cannot be effectively promoted and applied.

[0007] Therefore, how to reasonably determine the equipment construction location and configuration capacity is an urgent problem to be solved. Summary of the invention

[0008] To solve related technical problems, the embodiments of the present application provide a method and system for optimizing the layout of a photovoltaic storage system for a distribution network, which can reasonably determine the equipment construction location and configuration capacity, and improve the rationality and reliability of planning.

[0009] The technical solution of the embodiment of the present application is implemented as follows:

[0010] The present application provides a method for optimizing the layout of a photovoltaic storage system for a distribution network, the method comprising:

[0011] Conduct cluster analysis on problematic scenarios in the distribution network and determine typical application scenarios for solar-storage systems;

[0012] Based on scenario indicators of typical application scenarios, establish an application evaluation index system for photovoltaic storage systems in medium and low voltage distribution networks;

[0013] Based on the total power supply in the distribution network coverage area, a hierarchical clustering analysis method is used to calculate the photovoltaic storage equipment configuration plan of the distribution network; the configuration plan includes the type and location of the power supply equipment;

[0014] Based on the total power supply and configuration plan of the distribution network coverage area, the evaluation score of each configuration plan is calculated using the application evaluation index system to determine the target photovoltaic storage system layout plan.

[0015] Furthermore, based on the total power supply and configuration scheme of the distribution network coverage area, the evaluation score of each configuration scheme is calculated by applying the evaluation index system to determine the target photovoltaic storage system layout scheme, including:

[0016] The hierarchical cluster analysis method is used to evaluate the application evaluation index system and obtain the evaluation results;

[0017] The evaluation results are used as labels for network training, and the neural network is trained to obtain a correlation analysis model;

[0018] Use the correlation analysis model to determine the correlation between each scenario indicator in each application evaluation indicator system;

[0019] By using the correlation between the indicators of each scenario, the portraits of the distribution networks at all levels in the application evaluation index system are established; among which, the levels in the distribution network correspond one to one with the levels of the scenario indicators in the evaluation index system;

[0020] Using the correlation between indicators of each scenario in the same portrait, the weak links within the corresponding distribution network level are determined;

[0021] By using the contrast differences between different portraits, the weak links between distribution networks at all levels can be identified;

[0022] Based on the total power supply and configuration plan of the distribution network coverage area, combined with the weak links, the evaluation score of each configuration plan is calculated using the application evaluation index system to determine the target photovoltaic storage system layout plan.

[0023] Furthermore, based on the total power supply and configuration scheme of the distribution network coverage area, combined with the weak links, the evaluation score of each configuration scheme is calculated by using the application evaluation index system to determine the target photovoltaic storage system layout scheme, including:

[0024] Based on the preset weak link weight coefficient, updating the score of the corresponding scenario indicator in the application evaluation indicator system; the weight coefficient is less than 1;

[0025] Based on the total power supply and configuration plan of the distribution network coverage area, the evaluation score of each configuration plan is calculated using the updated application evaluation index system to determine the target photovoltaic storage system layout plan.

[0026] Furthermore, the method of using the correlation between the indicators of each scenario in the same portrait to determine the weak links within the corresponding distribution network level includes:

[0027] Based on the difference in the scores between two scene indicators in the same portrait, the correlation between the corresponding two scene indicators is determined;

[0028] According to the correlation between each scenario indicator and other scenario indicators in the same portrait, at least one target scenario indicator is determined from multiple scenario indicators in the same portrait as the weak link within the corresponding distribution network level.

[0029] Furthermore, the use of the contrast differences between different portraits to determine the weak links between distribution networks at all levels includes:

[0030] The scene indicator scores in each portrait are integrated to obtain the integrated score of each portrait;

[0031] According to the difference between each portrait fusion score and other portrait fusion scores, at least one target portrait is determined from multiple portraits as the weak link between distribution networks at all levels.

[0032] Furthermore, the method further comprises:

[0033] Scoring the scenario indicators of each typical application scenario based on the basic data of the distribution network to obtain the scoring results of each scenario indicator;

[0034] The application evaluation index system is established based on the scoring results of each scenario index and the scenario index.

[0035] Furthermore, the method further comprises:

[0036] The isolation forest method is used to clean the basic data of the distribution network;

[0037] Score the scenario indicators of each typical application scenario based on the cleaned basic data.

[0038] Furthermore, the cluster analysis of problematic scenarios in the distribution network to determine typical application scenarios of the photovoltaic storage system includes:

[0039] A hierarchical clustering algorithm is used to perform cluster analysis on problematic scenarios in the distribution network and determine typical application scenarios of the photovoltaic storage system.

[0040] The present application also provides a photovoltaic storage system optimization layout system for a distribution network, the system comprising:

[0041] A cluster analysis unit is used to perform cluster analysis on problematic scenarios in the distribution network and determine typical application scenarios of the photovoltaic storage system;

[0042] A processing unit, used to establish an application evaluation index system for photovoltaic storage systems in medium and low voltage distribution networks based on scenario indicators of typical application scenarios;

[0043] A configuration unit is used to calculate a configuration scheme of photovoltaic storage equipment of the distribution network based on the total power supply in the distribution network coverage area by using a hierarchical clustering analysis method; the configuration scheme includes the type and location of the power supply equipment;

[0044] The determination unit is used to calculate the evaluation score of each configuration scheme based on the total power supply and configuration scheme of the distribution network coverage area by using the application evaluation index system to determine the layout plan of the target photovoltaic storage system.

[0045] Furthermore, the determining unit is specifically configured to:

[0046] The hierarchical cluster analysis method is used to evaluate the application evaluation index system and obtain the evaluation results;

[0047] The evaluation results are used as labels for network training, and the neural network is trained to obtain a correlation analysis model;

[0048] Use the correlation analysis model to determine the correlation between each scenario indicator in each application evaluation indicator system;

[0049] By using the correlation between the indicators of each scenario, the portraits of the distribution networks at all levels in the application evaluation index system are established; among which, the levels in the distribution network correspond one to one with the levels of the scenario indicators in the evaluation index system;

[0050] Using the correlation between indicators of each scenario in the same portrait, the weak links within the corresponding distribution network level are determined;

[0051] By using the contrast differences between different portraits, the weak links between distribution networks at all levels can be identified;

[0052] Based on the total power supply and configuration plan of the distribution network coverage area, combined with the weak links, the evaluation score of each configuration plan is calculated using the application evaluation index system to determine the target photovoltaic storage system layout plan.

[0053] The embodiments of the present application provide a method and system for optimizing the layout of a photovoltaic storage system for a distribution network, which performs cluster analysis on problematic scenarios in the distribution network to determine typical application scenarios of the photovoltaic storage system; based on scenario indicators of typical application scenarios, an application evaluation index system for photovoltaic storage systems in medium and low voltage distribution networks is established; based on the total power supply in the area covered by the distribution network, a hierarchical clustering analysis method is used to calculate a photovoltaic storage device configuration plan for the distribution network; the configuration plan includes the type and location of power supply equipment; based on the total power supply in the area covered by the distribution network and the configuration plan, an evaluation score for each configuration plan is calculated using the application evaluation index system to determine a target photovoltaic storage system layout plan. The technical solution provided in the embodiment of the present application takes into account the impact of distributed photovoltaic access to the distribution network on voltage fluctuations, low voltage, etc., and establishes a typical application scenario, and establishes an evaluation index system based on the application scenario and the corresponding scenario indicators. The evaluation index system scores are used to analyze and determine the optimal configuration plan, so that the equipment construction location and configuration capacity can be effectively and reasonably determined. Furthermore, by introducing heavy overload and equipment utilization into the evaluation index system, the optimal planning plan for each scenario is simulated and the power supply quality in remote rural areas is improved, the utilization level of distribution network equipment is improved, the proportion of heavy overload in the distribution network is reduced, and the line loss of the distribution network is reduced. At the same time, it can also be applicable to various different application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 This is a schematic diagram of a method for optimizing the layout of a photovoltaic storage system for a distribution network according to an embodiment of the present application;

[0055] Figure 2 A schematic diagram of the process of establishing an application evaluation index system in an embodiment of the present application;

[0056] Figure 3 This is a schematic diagram of the system structure for optimizing the layout of the photovoltaic storage system for the distribution network according to an embodiment of the present application. Implementation

[0057] The present application is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0058] The embodiment of the present application provides a method for optimizing the layout of a photovoltaic storage system for a distribution network, which is applied to an optimized layout system of a photovoltaic storage system for a distribution network, and can be specifically applied to electronic devices such as servers, personal computers (PCs), and smart terminals; Figure 1 As shown, the method may include:

[0059] Step 101: Perform cluster analysis on problematic scenarios in the distribution network to determine typical application scenarios of the photovoltaic storage system.

[0060] In one embodiment, cluster analysis is performed on scenarios with problems in the distribution network to determine typical application scenarios of the photovoltaic storage system, including:

[0061] The hierarchical clustering algorithm is used to perform cluster analysis on problematic scenarios in the distribution network and determine typical application scenarios of the photovoltaic storage system.

[0062] In actual application, considering that there are many application scenarios of distribution network and the correlation is complex, in conventional clustering algorithms, when scenarios A and B are similar, and B and C are similar, ABC will be classified into one category. However, if A and C are not similar at this time, clustering errors will be caused. The embodiment of the present application divides the data set into layers of clusters by adopting a hierarchical clustering algorithm. The clusters generated in the latter layer are based on the results of the previous layer, which can improve the accuracy and reliability of the classification results, thereby improving the reliability of the results determined in typical application scenarios.

[0063] In actual application, typical application scenarios may include low voltage management, loss reduction management, and heavy overload management.

[0064] Of course, different typical application scenarios can also be configured according to other configuration requirements, such as distributed distribution automation, power load demand-side response, distributed energy regulation, low-voltage centralized meter reading, intelligent power supply services and other application scenarios. These application scenarios can improve the reliability and stability of power supply, while accurately monitoring and managing power consumption, intelligently adjusting peak and valley electricity prices, improving power efficiency, and saving energy and reducing emissions; among them,

[0065] For distributed distribution automation, in rural areas, distributed distribution automation technology can be used to improve the efficiency and stability of the distribution network;

[0066] For the demand-side response of power load, intelligent technology can be used to manage and adjust the power load to meet the power demand in different time periods and different regions;

[0067] For distributed energy control, with the development of services such as precise load control and distributed energy access, the master station system will gradually sink to the local area, and more local control will be required to be linked with the main network, and the latency requirement will reach milliseconds.

[0068] For low-voltage meter reading, this is a collection service that can remotely monitor and manage low-voltage power equipment in rural areas;

[0069] For intelligent power supply services, such as applying for electricity or power outage services from the power supply bureau through terminal devices such as mobile phones or computers, one-stop service is achieved.

[0070] Step 102: Based on scenario indicators of typical application scenarios, establish an application evaluation index system for photovoltaic storage systems in medium and low voltage distribution networks.

[0071] Among them, the application evaluation index system includes multiple levels, each level corresponds to each level of the distribution network. For example, the first to third levels of the application evaluation index system are distribution network, typical application scenarios, and scenario indicators, respectively; among them, scenario indicators represent indicators used to characterize the operating conditions of corresponding application scenarios; each scenario indicator option may include scenario indicator type and specific attribute values.

[0072] In actual application, after establishing a typical application scenario, a simulation calculation model can be built to perform full life cycle simulation calculations, and then an application evaluation index system can be established based on the simulation calculation results.

[0073] For example, Figure 2 As shown, the present invention can be divided into three research contents; among them, research content 1 analyzes the output characteristics of each independent subsystem in the photovoltaic storage system in the new medium and low voltage distribution network, and constructs a power generation model including photovoltaics and energy storage; according to the planning and evaluation results of the photovoltaic storage system, the system planning optimization goals are determined, and the objective function model of the photovoltaic storage system of the new medium and low voltage distribution network is established; research content 2 takes the optimal planning scheme for each scenario as a constraint condition, builds a refined optimization model for the planning scheme of each scenario, and adopts an improved multi-objective finite space fast optimization algorithm to solve the optimal planning scheme of the photovoltaic storage system containing power, capacity, location and other information; research content 3 formulates a targeted planning guidance manual for the photovoltaic storage system of the medium and low voltage distribution network, which is convenient for front-line business personnel to quickly and effectively formulate planning and construction plans.

[0074] In actual application, each scenario indicator can be scored according to the basic data of the distribution network, and an evaluation index system can be established based on the scoring results and scenario indicators.

[0075] Based on this, in one embodiment, the method may further include:

[0076] Scoring the scenario indicators of each typical application scenario based on the basic data of the distribution network to obtain the scoring results of each scenario indicator;

[0077] The application evaluation index system is established based on the scoring results of each scenario index and the scenario index.

[0078] In actual application, the scoring result of the scene indicator can also be the attribute value of the scene indicator.

[0079] In actual application, in order to ensure the credibility of basic data and thus ensure the accuracy of the application evaluation index system, the basic data can be cleaned first.

[0080] Based on this, in one embodiment, the method may further include:

[0081] The isolation forest method is used to clean the basic data of the distribution network;

[0082] Score the scenario indicators of each typical application scenario based on the cleaned basic data.

[0083] In practical applications, the isolation forest method can be used to first clean the basic data of the distribution network, and then the normal data obtained after cleaning can be used to score each scenario indicator.

[0084] In actual application, scenario indicators may include at least one of heavy overload frequency, power supply equipment utilization, power supply reliability, network loss rate, voltage fluctuation and voltage flicker, and voltage qualification rate. These indicators can be used to evaluate the performance and application effect of the distribution network.

[0085] (1) Heavy overload frequency: Heavy overload frequency refers to the number of times that a power device is severely overloaded per unit time, and the number of times that the heavy overload index is exceeded. This index can be used to measure the overload capacity of power equipment and the stability of the system.

[0086] Generally speaking, equipment with a high frequency of heavy overloads means that its load fluctuations are large or the system load distribution is uneven, which may cause equipment damage or shorten its service life. Therefore, in the power system, it is necessary to reasonably control the frequency of heavy overloads and monitor and adjust it according to the actual situation.

[0087] The heavy overload index usually refers to the upper limit of the rated current that cables, wires and other power equipment can withstand in the power system. When the current exceeds this rated value, there is a risk of line overload, which may cause equipment damage and fire hazards. The specific value of the heavy overload index may vary according to different standards. For example, according to the industry standard DL / T937-2005 "Transformer Operation and Maintenance Guidelines", a load rate of more than 2 is considered a heavy overload.

[0088] The heavy overload index plays an important role in the power system. It not only provides an important basis for the normal operation of the transformer and prolongs its service life, but also serves as the basis for the reasonable formulation and strict implementation of the heavy overload standard to prevent the transformer from being damaged due to overload and improve the reliability and safety of the power system. Understanding the heavy overload standard of the transformer and reasonably arranging the power load are also important measures to avoid power accidents and improve the utilization rate of electric energy.

[0089] (2) Power supply equipment utilization rate: The power supply equipment utilization rate refers to the ratio of actual power generation to theoretical power generation within a certain period of time, usually expressed as a percentage. It is an important indicator to measure the operating efficiency and utilization of power generation equipment.

[0090] The utilization rate of power supply equipment is affected by many factors, including the design and manufacturing quality of the equipment, the level of operation and maintenance management, the supply and quality of fuel, the operation of the power grid, etc. Generally speaking, the higher the utilization rate of power supply equipment, the higher the efficiency of the equipment operation, and the more fully it can use fuel or energy resources to generate electricity.

[0091] (3) Power supply reliability: This is the primary task of the distribution network and refers to the reliability of continuous power supply to users.

[0092] (4) Grid loss rate: The ratio of power loss in the power grid to the total power supply, usually expressed as a percentage.

[0093] (5) Voltage fluctuation and voltage flicker: Voltage fluctuation refers to the rapid change of grid voltage or the periodic change of voltage envelope; Voltage flicker refers to the main sensation of light flickering in human eyes, and the voltage fluctuation caused by light flicker is called flicker voltage.

[0094] (6) Voltage compliance rate: refers to the percentage of time that the voltage at a certain point in the power system is qualified during the statistical time.

[0095] Step 103: Based on the total power supply in the distribution network coverage area, a hierarchical clustering analysis method is used to calculate a photovoltaic storage device configuration plan for the distribution network; the configuration plan includes the type and location of the power supply equipment.

[0096] Step 104: Based on the total power supply and configuration scheme of the distribution network coverage area, the evaluation score of each configuration scheme is calculated using the application evaluation index system to determine the target photovoltaic storage system layout plan.

[0097] In one embodiment, the method of calculating the evaluation score of each configuration scheme based on the total power supply and configuration scheme of the distribution network coverage area by applying the evaluation index system and determining the target photovoltaic storage system layout scheme may include:

[0098] Use hierarchical clustering to evaluate the application evaluation index system and obtain the evaluation results;

[0099] The evaluation results are used as labels for network training, and the neural network is trained to obtain a correlation analysis model;

[0100] Use the correlation analysis model to determine the correlation between each scenario indicator in each application evaluation indicator system;

[0101] By using the correlation between the indicators of each scenario, the portraits of the distribution networks at all levels in the application evaluation index system are established; among which, the levels in the distribution network correspond one to one with the levels of the scenario indicators in the evaluation index system;

[0102] Using the correlation between indicators of each scenario in the same portrait, the weak links within the corresponding distribution network level are determined;

[0103] By using the contrast differences between different portraits, the weak links between distribution networks at all levels can be identified;

[0104] Based on the total power supply and configuration plan of the distribution network coverage area, combined with the weak links, the evaluation score of each configuration plan is calculated using the application evaluation index system to determine the target photovoltaic storage system layout plan.

[0105] In actual application, when using hierarchical clustering to evaluate the application evaluation index system and obtain the evaluation results, the above-mentioned cleaned basic data can be comprehensively assigned to the application evaluation index system to obtain the weights of the scene indicators at all levels in the application evaluation index system and the corresponding evaluation results.

[0106] In actual application, the correlation between various indicators in the same portrait can be the correlation between various scene indicators in the same application scene in the evaluation index system, specifically, the difference between the attribute values ​​of various scene indicators.

[0107] Based on this, in one embodiment, the use of the correlation between the scene indicators in the same portrait to determine the weak links within the corresponding distribution network level may include:

[0108] Based on the difference in the scores between two scene indicators in the same portrait, the correlation between the corresponding two scene indicators is determined;

[0109] According to the correlation between each scenario indicator and other scenario indicators in the same portrait, at least one target scenario indicator is determined from multiple scenario indicators in the same portrait as the weak link within the corresponding distribution network level.

[0110] In practical applications, the first mean of the correlation between each scene indicator and other scene indicators in the same portrait can be determined, and N scene indicators with the largest first means are selected as weak links, N ≥ 1.

[0111] In practical applications, the correlation between portraits can be the comparative difference between different levels in the evaluation index system, and can correspond to the difference between the fusion results of the index scores of two levels.

[0112] Based on this, in one embodiment, the use of the contrast differences between different portraits to determine the weak links between distribution networks at all levels may include:

[0113] The scene indicator scores in each portrait are integrated to obtain the integrated score of each portrait;

[0114] According to the difference between each portrait fusion score and other portrait fusion scores, at least one target portrait is determined from multiple portraits as the weak link between distribution networks at all levels.

[0115] In actual application, the scene indicator scores (that is, attribute values) of each portrait can be fused to obtain the score fusion result of each portrait, and then the second mean of the score fusion results of all portraits can be calculated, and the M portraits with the largest gap between the score fusion results and the second mean can be selected as weak links, M ≥ 1.

[0116] In actual application, the total power supply and configuration scheme of the distribution network coverage area, combined with the weak links, and the evaluation score of each configuration scheme is calculated by using the application evaluation index system to determine the target photovoltaic storage system layout scheme, which may include:

[0117] Based on the preset weak link weight coefficient, updating the score of the corresponding scenario indicator in the application evaluation indicator system; the weight coefficient is less than 1;

[0118] Based on the total power supply and configuration plan of the distribution network coverage area, the evaluation score of each configuration plan is calculated using the updated application evaluation index system to determine the target photovoltaic storage system layout plan.

[0119] Here, since the influence of the optimal configuration scheme of the weak environment is taken into consideration, the accuracy and reliability of the layout optimization result can be further improved.

[0120] The method for optimizing the layout of photovoltaic storage systems for distribution networks provided in the embodiment of the present application takes into account the impact of distributed photovoltaic access to the distribution network on voltage fluctuations, low voltage, etc., establishes typical application scenarios, and establishes an evaluation index system based on the application scenarios and corresponding scenario indicators. The optimal configuration scheme is analyzed and determined using the scores of the evaluation index system, so that the equipment construction location and configuration capacity can be effectively and reasonably determined. Furthermore, by introducing heavy overload and equipment utilization into the evaluation index system, the optimal planning scheme for each scenario is simulated and the power supply quality in remote rural areas is improved, the utilization level of distribution network equipment is improved, the proportion of heavy overload in the distribution network is reduced, and the line loss of the distribution network is reduced. At the same time, it can also be applicable to various different application scenarios.

[0121] In order to implement the photovoltaic storage system optimization layout method for the distribution network of the present application, the embodiment of the present application also provides a photovoltaic storage system optimization layout system 300 for the distribution network, which can be run on smart electronic devices such as servers and PCs; Figure 3 As shown, the system 300 may include:

[0122] A cluster analysis unit 301 is used to perform cluster analysis on problematic scenarios in the distribution network and determine typical application scenarios of the photovoltaic storage system;

[0123] Processing unit 302, used to establish an application evaluation index system for photovoltaic storage systems in medium and low voltage distribution networks based on scenario indicators of typical application scenarios;

[0124] The configuration unit 303 is used to calculate the photovoltaic storage equipment configuration scheme of the distribution network based on the total power supply in the distribution network coverage area by using a hierarchical clustering analysis method; the configuration scheme includes the type and location of the power supply equipment;

[0125] The determination unit 304 is used to calculate the evaluation score of each configuration scheme based on the total power supply and configuration scheme of the distribution network coverage area by using the application evaluation index system to determine the target photovoltaic storage system layout scheme.

[0126] In one embodiment, the determining unit 304 may be specifically configured to:

[0127] The hierarchical cluster analysis method is used to evaluate the application evaluation index system and obtain the evaluation results;

[0128] The evaluation results are used as labels for network training, and the neural network is trained to obtain a correlation analysis model;

[0129] Use the correlation analysis model to determine the correlation between each scenario indicator in each application evaluation indicator system;

[0130] By using the correlation between the indicators of each scenario, the portraits of the distribution networks at all levels in the application evaluation index system are established; among which, the levels in the distribution network correspond one to one with the levels of the scenario indicators in the evaluation index system;

[0131] Using the correlation between indicators of each scenario in the same portrait, the weak links within the corresponding distribution network level are determined;

[0132] By using the contrast differences between different portraits, the weak links between distribution networks at all levels can be identified;

[0133] Based on the total power supply and configuration plan of the distribution network coverage area, combined with the weak links, the evaluation score of each configuration plan is calculated using the application evaluation index system to determine the target photovoltaic storage system layout plan.

[0134] It should be noted that: "first", "second", etc. are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0135] In addition, the technical solutions described in the embodiments of the present application can be combined arbitrarily without conflict.

[0136] The above description is only a preferred embodiment of the present application and is not intended to limit the protection scope of the present application.

Claims

1. A method for optimizing the layout of a photovoltaic storage system for a distribution network, characterized in that: The method comprises: Conduct cluster analysis on problematic scenarios in the distribution network and determine typical application scenarios for solar-storage systems; Based on scenario indicators of typical application scenarios, establish an application evaluation index system for photovoltaic storage systems in medium and low voltage distribution networks; Based on the total power supply in the distribution network coverage area, a hierarchical clustering analysis method is used to calculate the photovoltaic storage equipment configuration plan of the distribution network; the configuration plan includes the type and location of the power supply equipment; Based on the total power supply and configuration plan of the distribution network coverage area, the evaluation score of each configuration plan is calculated using the application evaluation index system to determine the target photovoltaic storage system layout plan; The typical application scenarios include low voltage management, loss reduction management and heavy overload management; The scenario index represents an index used to characterize the operation status of the corresponding application scenario; the scenario index includes at least one of heavy overload frequency, power supply equipment utilization rate, power supply reliability, network loss rate, voltage fluctuation and voltage flicker, and voltage qualification rate; The method of calculating the evaluation score of each configuration scheme based on the total power supply and configuration scheme of the distribution network coverage area and determining the target photovoltaic storage system layout scheme by using the application evaluation index system includes: The application evaluation index system is evaluated using the hierarchical cluster analysis method to obtain the evaluation results; The evaluation results are used as labels for network training, and the neural network is trained to obtain a correlation analysis model; Use the correlation analysis model to determine the correlation between each scenario indicator in each application evaluation indicator system; By using the correlation between the indicators of each scenario, the portraits of the distribution networks at all levels in the application evaluation index system are established; the levels in the distribution network correspond one to one with the levels of the scenario indicators in the evaluation index system; Using the correlation between indicators of each scenario in the same portrait, the weak links within the corresponding distribution network level are determined; By using the contrast differences between different portraits, the weak links between distribution networks at all levels can be identified; Based on the total power supply and configuration plan of the distribution network coverage area, combined with the weak links, the evaluation score of each configuration plan is calculated using the application evaluation index system to determine the target photovoltaic storage system layout plan.

2. The method according to claim 1, characterized in that: The total power supply and configuration scheme of the distribution network coverage area, combined with the weak links, uses the application evaluation index system to calculate the evaluation score of each configuration scheme, and determines the target photovoltaic storage system layout scheme, including: Based on the preset weak link weight coefficient, updating the score of the corresponding scenario indicator in the application evaluation indicator system; the weight coefficient is less than 1; Based on the total power supply and configuration plan of the distribution network coverage area, the evaluation score of each configuration plan is calculated using the updated application evaluation index system to determine the target photovoltaic storage system layout plan.

3. The method according to claim 1, characterized in that The method of using the correlation between the indicators of each scenario in the same portrait to determine the weak links within the corresponding distribution network level includes: Based on the difference in the scores between two scene indicators in the same portrait, the correlation between the corresponding two scene indicators is determined; According to the correlation between each scenario indicator and other scenario indicators in the same portrait, at least one target scenario indicator is determined from multiple scenario indicators in the same portrait as the weak link within the corresponding distribution network level.

4. The method according to claim 1, characterized in that: The method of using the contrast differences between different portraits to determine the weak links between distribution networks at all levels includes: The scene indicator scores in each portrait are integrated to obtain the integrated score of each portrait; According to the difference between each portrait fusion score and other portrait fusion scores, at least one target portrait is determined from multiple portraits as the weak link between distribution networks at all levels.

5. The method according to claim 1, characterized in that The method further comprises: Scoring the scenario indicators of each typical application scenario based on the basic data of the distribution network to obtain the scoring results of each scenario indicator; The application evaluation index system is established based on the scoring results of each scenario index and the scenario index.

6. The method according to claim 3, characterized in that The method further comprises: The isolation forest method is used to clean the basic data of the distribution network; Score the scenario indicators of each typical application scenario based on the cleaned basic data.

7. The method according to claim 1, characterized in that The cluster analysis of problematic scenarios in the distribution network is performed to determine typical application scenarios of the photovoltaic storage system, including: A hierarchical clustering algorithm is used to perform cluster analysis on problematic scenarios in the distribution network and determine typical application scenarios of the photovoltaic storage system.

8. A photovoltaic storage system optimization layout system for distribution network, characterized in that: include: A cluster analysis unit is used to perform cluster analysis on problematic scenarios in the distribution network and determine typical application scenarios of the photovoltaic storage system; A processing unit, used to establish an application evaluation index system for photovoltaic storage systems in medium and low voltage distribution networks based on scenario indicators of typical application scenarios; A configuration unit is used to calculate a configuration scheme of photovoltaic storage equipment of the distribution network based on the total power supply in the distribution network coverage area by using a hierarchical clustering analysis method; the configuration scheme includes the type and location of the power supply equipment; The determination unit is used to calculate the evaluation score of each configuration scheme based on the total power supply and configuration scheme of the distribution network coverage area by using the application evaluation index system to determine the target photovoltaic storage system layout scheme; wherein, The typical application scenarios include low voltage management, loss reduction management and heavy overload management; The scenario indicator represents an indicator used to characterize the operation status of the corresponding application scenario; each scenario indicator option includes a scenario indicator type and a specific attribute value; The determining unit is used for: The application evaluation index system is evaluated using the hierarchical cluster analysis method to obtain the evaluation results; The evaluation results are used as labels for network training, and the neural network is trained to obtain a correlation analysis model; Use the correlation analysis model to determine the correlation between each scenario indicator in each application evaluation indicator system; By using the correlation between the indicators of each scenario, the portraits of the distribution networks at all levels in the application evaluation index system are established; the levels in the distribution network correspond one to one with the levels of the scenario indicators in the evaluation index system; Using the correlation between indicators of each scenario in the same portrait, the weak links within the corresponding distribution network level are determined; By using the contrast differences between different portraits, the weak links between distribution networks at all levels can be identified; Based on the total power supply and configuration plan of the distribution network coverage area, combined with the weak links, the evaluation score of each configuration plan is calculated using the application evaluation index system to determine the target photovoltaic storage system layout plan.

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