考虑需求响应的配电网光伏储能优化规划

Tanuj Rawat, K. R. Niazi, N. Gupta, Sachin Sharma
{"title":"考虑需求响应的配电网光伏储能优化规划","authors":"Tanuj Rawat, K. R. Niazi, N. Gupta, Sachin Sharma","doi":"10.1109/PIICON49524.2020.9112887","DOIUrl":null,"url":null,"abstract":"In this paper, a framework for joint planning of photovoltaic (PV) based renewable distributed generation and battery storage system (BSS) for a distribution system including demand response (DR) is developed. The planning problem is formulated as a mixed integer second order conic programming to simultaneously minimize energy losses and maximize photovoltaic capacity that can be integrated in the distribution system. Simulations are conducted on 33-bus system to demonstrate the effectiveness and feasibility of proposed approach. The simulation results show that optimal allocation of PV and BSS in presence of DR leads to significant increment in energy saving and power that is injected by PV in distribution system.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Planning of Photovoltaic and Battery Storage in Distribution Grid Integrated with Demand Response\",\"authors\":\"Tanuj Rawat, K. R. Niazi, N. Gupta, Sachin Sharma\",\"doi\":\"10.1109/PIICON49524.2020.9112887\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a framework for joint planning of photovoltaic (PV) based renewable distributed generation and battery storage system (BSS) for a distribution system including demand response (DR) is developed. The planning problem is formulated as a mixed integer second order conic programming to simultaneously minimize energy losses and maximize photovoltaic capacity that can be integrated in the distribution system. Simulations are conducted on 33-bus system to demonstrate the effectiveness and feasibility of proposed approach. The simulation results show that optimal allocation of PV and BSS in presence of DR leads to significant increment in energy saving and power that is injected by PV in distribution system.\",\"PeriodicalId\":422853,\"journal\":{\"name\":\"2020 IEEE 9th Power India International Conference (PIICON)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 9th Power India International Conference (PIICON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIICON49524.2020.9112887\",\"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 9th Power India International Conference (PIICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIICON49524.2020.9112887","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种基于光伏的可再生分布式发电与电池储能系统(BSS)联合规划的框架,用于包含需求响应(DR)的配电系统。规划问题被表述为一个混合整数二阶二次规划,以同时最小化能量损失和最大化可集成到配电系统中的光伏容量。在33总线系统上进行了仿真,验证了该方法的有效性和可行性。仿真结果表明,在DR存在的情况下,PV和BSS的优化配置可以使配电系统中PV的节能和注入功率显著增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Planning of Photovoltaic and Battery Storage in Distribution Grid Integrated with Demand Response
In this paper, a framework for joint planning of photovoltaic (PV) based renewable distributed generation and battery storage system (BSS) for a distribution system including demand response (DR) is developed. The planning problem is formulated as a mixed integer second order conic programming to simultaneously minimize energy losses and maximize photovoltaic capacity that can be integrated in the distribution system. Simulations are conducted on 33-bus system to demonstrate the effectiveness and feasibility of proposed approach. The simulation results show that optimal allocation of PV and BSS in presence of DR leads to significant increment in energy saving and power that is injected by PV in distribution system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信