{"title":"考虑输电间隔和源网负荷协同的有源配电网分布式储能优化分配方法研究","authors":"Wei Chen, Penghui Hao, Zhanhong Wei, Longkang Chen","doi":"10.1016/j.epsr.2025.111787","DOIUrl":null,"url":null,"abstract":"<div><div>To address the low level of new energy consumption, poor economic and stability indicators caused by insufficient coordination ability of the distribution network after large-scale grid connection of distributed photovoltaics (DPV), a distributed energy storage (DES) optimization allocation strategy based on transmission betweenness and source-network-load synergy in active distribution networks is proposed. First, based on complex network theory, the power transfer distribution factor (PTDF) is introduced to measure the importance of the nodes after energy storage is connected to the distribution network, and an optimal siting calculation method for energy storage based on the node transmission betweenness is proposed. Then, the uncertainty of the DPV output is quantified by improving the cosine similarity K-medoids clustering method. A mixed-integer second-order conical planning (MISOCP) model for cooperative optimal scheduling of DPV and DES containing soft open points (SOPs) is developed with the objectives of minimizing the daily integrated cost and average voltage deviation of the system. Finally, the improved IEEE33 node distribution system is taken as an example for simulation analysis, and simulation results show that the system's renewable energy consumption rate reaches 98.29% and the total operating cost is reduced by 25.98%, which verifies the effectiveness of the methodology.</div></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":"247 ","pages":"Article 111787"},"PeriodicalIF":3.3000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on the optimization allocation method of distributed energy storage in an active distribution network taking into account transmission betweenness and source-network-load synergy\",\"authors\":\"Wei Chen, Penghui Hao, Zhanhong Wei, Longkang Chen\",\"doi\":\"10.1016/j.epsr.2025.111787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>To address the low level of new energy consumption, poor economic and stability indicators caused by insufficient coordination ability of the distribution network after large-scale grid connection of distributed photovoltaics (DPV), a distributed energy storage (DES) optimization allocation strategy based on transmission betweenness and source-network-load synergy in active distribution networks is proposed. First, based on complex network theory, the power transfer distribution factor (PTDF) is introduced to measure the importance of the nodes after energy storage is connected to the distribution network, and an optimal siting calculation method for energy storage based on the node transmission betweenness is proposed. Then, the uncertainty of the DPV output is quantified by improving the cosine similarity K-medoids clustering method. A mixed-integer second-order conical planning (MISOCP) model for cooperative optimal scheduling of DPV and DES containing soft open points (SOPs) is developed with the objectives of minimizing the daily integrated cost and average voltage deviation of the system. Finally, the improved IEEE33 node distribution system is taken as an example for simulation analysis, and simulation results show that the system's renewable energy consumption rate reaches 98.29% and the total operating cost is reduced by 25.98%, which verifies the effectiveness of the methodology.</div></div>\",\"PeriodicalId\":50547,\"journal\":{\"name\":\"Electric Power Systems Research\",\"volume\":\"247 \",\"pages\":\"Article 111787\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electric Power Systems Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378779625003797\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electric Power Systems Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378779625003797","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Study on the optimization allocation method of distributed energy storage in an active distribution network taking into account transmission betweenness and source-network-load synergy
To address the low level of new energy consumption, poor economic and stability indicators caused by insufficient coordination ability of the distribution network after large-scale grid connection of distributed photovoltaics (DPV), a distributed energy storage (DES) optimization allocation strategy based on transmission betweenness and source-network-load synergy in active distribution networks is proposed. First, based on complex network theory, the power transfer distribution factor (PTDF) is introduced to measure the importance of the nodes after energy storage is connected to the distribution network, and an optimal siting calculation method for energy storage based on the node transmission betweenness is proposed. Then, the uncertainty of the DPV output is quantified by improving the cosine similarity K-medoids clustering method. A mixed-integer second-order conical planning (MISOCP) model for cooperative optimal scheduling of DPV and DES containing soft open points (SOPs) is developed with the objectives of minimizing the daily integrated cost and average voltage deviation of the system. Finally, the improved IEEE33 node distribution system is taken as an example for simulation analysis, and simulation results show that the system's renewable energy consumption rate reaches 98.29% and the total operating cost is reduced by 25.98%, which verifies the effectiveness of the methodology.
期刊介绍:
Electric Power Systems Research is an international medium for the publication of original papers concerned with the generation, transmission, distribution and utilization of electrical energy. The journal aims at presenting important results of work in this field, whether in the form of applied research, development of new procedures or components, orginal application of existing knowledge or new designapproaches. The scope of Electric Power Systems Research is broad, encompassing all aspects of electric power systems. The following list of topics is not intended to be exhaustive, but rather to indicate topics that fall within the journal purview.
• Generation techniques ranging from advances in conventional electromechanical methods, through nuclear power generation, to renewable energy generation.
• Transmission, spanning the broad area from UHV (ac and dc) to network operation and protection, line routing and design.
• Substation work: equipment design, protection and control systems.
• Distribution techniques, equipment development, and smart grids.
• The utilization area from energy efficiency to distributed load levelling techniques.
• Systems studies including control techniques, planning, optimization methods, stability, security assessment and insulation coordination.