Optimal operation of renewable energy microgrids considering lifetime characteristics of battery energy storage system

M. Shehzad, F. Guéniat
{"title":"Optimal operation of renewable energy microgrids considering lifetime characteristics of battery energy storage system","authors":"M. Shehzad, F. Guéniat","doi":"10.1109/CDC45484.2021.9683478","DOIUrl":null,"url":null,"abstract":"The battery energy storage system’s integration with renewable energy (RE) micro-grids play an important role in solving power supply problems. To achieve reliable and economic operations of a RE micro-grid, in addition to maximize the integration of of renewable resources, the lifetime characteristics of a battery energy storage system also need to be fully investigated.This research study develops an optimization model that includes battery life loss cost, states switching costs, and operation and maintenance cost to obtain a set of optimal parameters of operation strategy. Considering the lifetime characteristics of battery storage system, a multi-objective optimization to maximize the power sold values, and to minimize the degradations concerning battery life cycles has been achieved being main control objectives of the research under study. Based on a model adopting mixed-integer constraints and dynamics, the problem of optimal load demand tracking, and electricity market participation is solved through the implementation of an model based predictive control (MPC) scheme. The efficacy of the proposed controller is proved through extensive simulations where the RE-based micro-grid running costs are minimized.","PeriodicalId":229089,"journal":{"name":"2021 60th IEEE Conference on Decision and Control (CDC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 60th IEEE Conference on Decision and Control (CDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC45484.2021.9683478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The battery energy storage system’s integration with renewable energy (RE) micro-grids play an important role in solving power supply problems. To achieve reliable and economic operations of a RE micro-grid, in addition to maximize the integration of of renewable resources, the lifetime characteristics of a battery energy storage system also need to be fully investigated.This research study develops an optimization model that includes battery life loss cost, states switching costs, and operation and maintenance cost to obtain a set of optimal parameters of operation strategy. Considering the lifetime characteristics of battery storage system, a multi-objective optimization to maximize the power sold values, and to minimize the degradations concerning battery life cycles has been achieved being main control objectives of the research under study. Based on a model adopting mixed-integer constraints and dynamics, the problem of optimal load demand tracking, and electricity market participation is solved through the implementation of an model based predictive control (MPC) scheme. The efficacy of the proposed controller is proved through extensive simulations where the RE-based micro-grid running costs are minimized.
考虑电池储能系统寿命特性的可再生能源微电网优化运行
电池储能系统与可再生能源微电网的集成对于解决电力供应问题具有重要作用。为了实现可再生能源微电网的可靠和经济运行,除了最大限度地整合可再生资源外,还需要对电池储能系统的寿命特性进行充分研究。本研究建立了包含电池寿命损失成本、状态切换成本和运行维护成本的优化模型,以获得一组运行策略的最优参数。考虑到电池储能系统的寿命特性,以最大限度地提高储能系统的售电量和最小化电池寿命周期的退化为主要的控制目标。基于混合整数约束和动态模型,通过实现基于模型的预测控制(MPC)方案,解决了最优负荷需求跟踪和电力市场参与问题。通过大量的仿真验证了该控制器的有效性,使基于re的微电网运行成本最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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