Battery ageing-aware stochastic management of power networks in islanded mode

Alessio Mosca, Andrea Pozzi, D. Raimondo
{"title":"Battery ageing-aware stochastic management of power networks in islanded mode","authors":"Alessio Mosca, Andrea Pozzi, D. Raimondo","doi":"10.1109/ICSTCC.2018.8540669","DOIUrl":null,"url":null,"abstract":"In this paper, we present an Ageing-Aware Stochastic Optimal Power Flow in presence of Demand Response and Energy Storage Systems (ESSs). A proper use of these latter is fundamental in order to achieve high performance during their whole lifetime. For this reason, we consider a degradation model for the ESSs in the optimization problem. In this way, it is possible to optimize network management by taking into account ageing effects of the ESSs and maximize their lifetime. In order to deal with network uncertainties, we solve a stochastic optimization problem using a scenario approach which allows to provide a-priori level of constraint satisfaction. The effectiveness of the proposed control strategy is tested by performing simulations on IEEE 14 bus.","PeriodicalId":308427,"journal":{"name":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC.2018.8540669","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

In this paper, we present an Ageing-Aware Stochastic Optimal Power Flow in presence of Demand Response and Energy Storage Systems (ESSs). A proper use of these latter is fundamental in order to achieve high performance during their whole lifetime. For this reason, we consider a degradation model for the ESSs in the optimization problem. In this way, it is possible to optimize network management by taking into account ageing effects of the ESSs and maximize their lifetime. In order to deal with network uncertainties, we solve a stochastic optimization problem using a scenario approach which allows to provide a-priori level of constraint satisfaction. The effectiveness of the proposed control strategy is tested by performing simulations on IEEE 14 bus.
孤岛模式下电池老化感知的电网随机管理
本文提出了一种考虑需求响应和储能系统(ess)的随机最优潮流。正确使用后者对于在其整个生命周期内实现高性能至关重要。为此,我们在优化问题中考虑了一种退化模型。这样,就有可能通过考虑ess的老化效应来优化网络管理,并最大化其使用寿命。为了处理网络的不确定性,我们使用场景方法解决了一个随机优化问题,该方法允许提供先验的约束满足水平。通过在IEEE 14总线上的仿真,验证了所提控制策略的有效性。
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:604180095
Book学术官方微信