Kaiyan Wang, Chengwen Zhou, Rong Jia, Jiao Wang, Zhengmian Wang
{"title":"区域电网储能系统优化配置及经济性分析","authors":"Kaiyan Wang, Chengwen Zhou, Rong Jia, Jiao Wang, Zhengmian Wang","doi":"10.1109/AEEES51875.2021.9403129","DOIUrl":null,"url":null,"abstract":"The combination of new energy and energy storage has become an inevitable trend in the future development of power systems with a high proportion of new energy, The optimal configuration of energy storage capacity has also become a research focus. In order to effectively alleviate the wind abandonment and solar abandonment phenomenon of the regional power grid with the penetration rate of new energy, this paper combines the actual demand of the power grid and proposes an optimized configuration method for the energy storage system (ESS). Firstly, model the cost and economic benefit calculation method of the energy storage system. Secondly, the optimization goal is to maximize the annual net income of the energy storage system and minimize the cost of electricity per kilowatt-hour, and the key operating status is used as the constraint condition to establish an energy storage optimization configuration model. Two energy storage modes, battery type and pumped storage, are comprehensively considered. Take an actual regional power grid as an example test system, and use an improved particle swarm algorithm to solve the optimization model. Considering the situation of no constraint and no more than 5% of new energy abandonment rate, the optimal allocation scheme of energy storage capacity is given, and the feasibility and economy of battery and pumped storage energy storage in different situations are comprehensively compared.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimal Configuration and Economic Analysis of Energy Storage System in Regional Power Grid\",\"authors\":\"Kaiyan Wang, Chengwen Zhou, Rong Jia, Jiao Wang, Zhengmian Wang\",\"doi\":\"10.1109/AEEES51875.2021.9403129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The combination of new energy and energy storage has become an inevitable trend in the future development of power systems with a high proportion of new energy, The optimal configuration of energy storage capacity has also become a research focus. In order to effectively alleviate the wind abandonment and solar abandonment phenomenon of the regional power grid with the penetration rate of new energy, this paper combines the actual demand of the power grid and proposes an optimized configuration method for the energy storage system (ESS). Firstly, model the cost and economic benefit calculation method of the energy storage system. Secondly, the optimization goal is to maximize the annual net income of the energy storage system and minimize the cost of electricity per kilowatt-hour, and the key operating status is used as the constraint condition to establish an energy storage optimization configuration model. Two energy storage modes, battery type and pumped storage, are comprehensively considered. Take an actual regional power grid as an example test system, and use an improved particle swarm algorithm to solve the optimization model. Considering the situation of no constraint and no more than 5% of new energy abandonment rate, the optimal allocation scheme of energy storage capacity is given, and the feasibility and economy of battery and pumped storage energy storage in different situations are comprehensively compared.\",\"PeriodicalId\":356667,\"journal\":{\"name\":\"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEEES51875.2021.9403129\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES51875.2021.9403129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Configuration and Economic Analysis of Energy Storage System in Regional Power Grid
The combination of new energy and energy storage has become an inevitable trend in the future development of power systems with a high proportion of new energy, The optimal configuration of energy storage capacity has also become a research focus. In order to effectively alleviate the wind abandonment and solar abandonment phenomenon of the regional power grid with the penetration rate of new energy, this paper combines the actual demand of the power grid and proposes an optimized configuration method for the energy storage system (ESS). Firstly, model the cost and economic benefit calculation method of the energy storage system. Secondly, the optimization goal is to maximize the annual net income of the energy storage system and minimize the cost of electricity per kilowatt-hour, and the key operating status is used as the constraint condition to establish an energy storage optimization configuration model. Two energy storage modes, battery type and pumped storage, are comprehensively considered. Take an actual regional power grid as an example test system, and use an improved particle swarm algorithm to solve the optimization model. Considering the situation of no constraint and no more than 5% of new energy abandonment rate, the optimal allocation scheme of energy storage capacity is given, and the feasibility and economy of battery and pumped storage energy storage in different situations are comprehensively compared.