{"title":"多站集成系统的规划方法和协调运行策略","authors":"Ankang Miao;Yue Yuan;Han Wu;Junpeng Zhu","doi":"10.17775/CSEEJPES.2022.02920","DOIUrl":null,"url":null,"abstract":"A multi-station integration system (MSIS) integrating other multi-type stations provides a new way to realize an intensive development of resources and promote low-carbon energy and its high-efficiency utilization. To this end, a novel multi-station integration planning method and coordinated operation strategy model for the MSIS are established in a new business model. In this study, a new business model of the MSIS, with substations as the carrier, integrating distributed photovoltaic, energy storage, electric vehicle charging, data center, and 5G base stations is proposed. From the social environment, natural conditions, and complementary characteristics, a comprehensive index system is established to analyze expansion capability of substations and multi-station combination scheme. Scenario reduction is performed by extracting feature vectors and building a comprehensive evaluation function to select the optimal combination scheme under a specific scenario. Moreover, for the combination scheme in a specific scenario, the optimal capacity configuration and coordinated operation strategy chance-constrained programming model of the MSIS are established under different operating conditions. Finally, simulations are performed on a practical MSIS located in Wuxi, China, and simulation results demonstrate the rationality and effectiveness of the planning method and coordinated operation strategy model for the MSIS.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"9 6","pages":"2394-2408"},"PeriodicalIF":6.9000,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10106200","citationCount":"0","resultStr":"{\"title\":\"Planning Method and Coordinated Operation Strategy for Multi-Station Integration System\",\"authors\":\"Ankang Miao;Yue Yuan;Han Wu;Junpeng Zhu\",\"doi\":\"10.17775/CSEEJPES.2022.02920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A multi-station integration system (MSIS) integrating other multi-type stations provides a new way to realize an intensive development of resources and promote low-carbon energy and its high-efficiency utilization. To this end, a novel multi-station integration planning method and coordinated operation strategy model for the MSIS are established in a new business model. In this study, a new business model of the MSIS, with substations as the carrier, integrating distributed photovoltaic, energy storage, electric vehicle charging, data center, and 5G base stations is proposed. From the social environment, natural conditions, and complementary characteristics, a comprehensive index system is established to analyze expansion capability of substations and multi-station combination scheme. Scenario reduction is performed by extracting feature vectors and building a comprehensive evaluation function to select the optimal combination scheme under a specific scenario. Moreover, for the combination scheme in a specific scenario, the optimal capacity configuration and coordinated operation strategy chance-constrained programming model of the MSIS are established under different operating conditions. Finally, simulations are performed on a practical MSIS located in Wuxi, China, and simulation results demonstrate the rationality and effectiveness of the planning method and coordinated operation strategy model for the MSIS.\",\"PeriodicalId\":10729,\"journal\":{\"name\":\"CSEE Journal of Power and Energy Systems\",\"volume\":\"9 6\",\"pages\":\"2394-2408\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2023-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10106200\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CSEE Journal of Power and Energy Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10106200/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSEE Journal of Power and Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10106200/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Planning Method and Coordinated Operation Strategy for Multi-Station Integration System
A multi-station integration system (MSIS) integrating other multi-type stations provides a new way to realize an intensive development of resources and promote low-carbon energy and its high-efficiency utilization. To this end, a novel multi-station integration planning method and coordinated operation strategy model for the MSIS are established in a new business model. In this study, a new business model of the MSIS, with substations as the carrier, integrating distributed photovoltaic, energy storage, electric vehicle charging, data center, and 5G base stations is proposed. From the social environment, natural conditions, and complementary characteristics, a comprehensive index system is established to analyze expansion capability of substations and multi-station combination scheme. Scenario reduction is performed by extracting feature vectors and building a comprehensive evaluation function to select the optimal combination scheme under a specific scenario. Moreover, for the combination scheme in a specific scenario, the optimal capacity configuration and coordinated operation strategy chance-constrained programming model of the MSIS are established under different operating conditions. Finally, simulations are performed on a practical MSIS located in Wuxi, China, and simulation results demonstrate the rationality and effectiveness of the planning method and coordinated operation strategy model for the MSIS.
期刊介绍:
The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.