Fangyuan Tian, Haifeng Zhu, Chen Zhou, Yibin Tao, Yan Li, J. Xue
{"title":"储能接入配电网的优化配置策略","authors":"Fangyuan Tian, Haifeng Zhu, Chen Zhou, Yibin Tao, Yan Li, J. Xue","doi":"10.1109/ICNSC48988.2020.9238095","DOIUrl":null,"url":null,"abstract":"In the distribution network with high penetration rate of photovoltaic power generation, the phenomenon of photovoltaic discarding can be reduced and the power reverse feeding can be prevented to some extent by configuring the energy storage system reasonably. This paper analyzes the influence of time-of-use (TOU) electric pricing on user load reduction and transfer characteristics, defines the self-elasticity coefficient and cross-elasticity coefficient of electricity price, and establishes the user load demand response model. On this basis, this paper comprehensively considers the loss of photovoltaic discarding and the cost of energy storage, and then adopts the net present value method to realize the optimal configuration of energy storage capacity. Finally, an example is given to verify that the strategy proposed in this paper can reduce the redundancy of rated capacity of energy storage by properly abandoning solar energy in the distribution network when the demand response is considered.","PeriodicalId":412290,"journal":{"name":"2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Configuration Strategy of Energy Storage Accessing to Distribution Network\",\"authors\":\"Fangyuan Tian, Haifeng Zhu, Chen Zhou, Yibin Tao, Yan Li, J. Xue\",\"doi\":\"10.1109/ICNSC48988.2020.9238095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the distribution network with high penetration rate of photovoltaic power generation, the phenomenon of photovoltaic discarding can be reduced and the power reverse feeding can be prevented to some extent by configuring the energy storage system reasonably. This paper analyzes the influence of time-of-use (TOU) electric pricing on user load reduction and transfer characteristics, defines the self-elasticity coefficient and cross-elasticity coefficient of electricity price, and establishes the user load demand response model. On this basis, this paper comprehensively considers the loss of photovoltaic discarding and the cost of energy storage, and then adopts the net present value method to realize the optimal configuration of energy storage capacity. Finally, an example is given to verify that the strategy proposed in this paper can reduce the redundancy of rated capacity of energy storage by properly abandoning solar energy in the distribution network when the demand response is considered.\",\"PeriodicalId\":412290,\"journal\":{\"name\":\"2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNSC48988.2020.9238095\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSC48988.2020.9238095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Configuration Strategy of Energy Storage Accessing to Distribution Network
In the distribution network with high penetration rate of photovoltaic power generation, the phenomenon of photovoltaic discarding can be reduced and the power reverse feeding can be prevented to some extent by configuring the energy storage system reasonably. This paper analyzes the influence of time-of-use (TOU) electric pricing on user load reduction and transfer characteristics, defines the self-elasticity coefficient and cross-elasticity coefficient of electricity price, and establishes the user load demand response model. On this basis, this paper comprehensively considers the loss of photovoltaic discarding and the cost of energy storage, and then adopts the net present value method to realize the optimal configuration of energy storage capacity. Finally, an example is given to verify that the strategy proposed in this paper can reduce the redundancy of rated capacity of energy storage by properly abandoning solar energy in the distribution network when the demand response is considered.