Energy management system for an isolated microgrid based on Fuzzy logic control and meta-heuristic algorithms

Mauricio Rodríguez, Vanessa Espin, D. Arcos-Aviles, W. Martínez
{"title":"Energy management system for an isolated microgrid based on Fuzzy logic control and meta-heuristic algorithms","authors":"Mauricio Rodríguez, Vanessa Espin, D. Arcos-Aviles, W. Martínez","doi":"10.1109/isie51582.2022.9831553","DOIUrl":null,"url":null,"abstract":"Nowadays, the emergence of isolated-mode microgrids is becoming more notorious for supplying electricity to isolated rural areas. However, the optimal implementation of a microgrid depends on several factors, such as its geographical location, sizing, operating cost, social impact, among others. Therefore, it is necessary to propose feasible solutions for incorporating systems based on isolated microgrids to improve the coverage of electric power in developing countries such as Ecuador, where microgrid implementations are still not reported. In this regard, this study proposes a design of an Energy Management System (EMS) based on Fuzzy Logic Control (FLC) for isolated microgrids. The proposed approach uses the forecast of generation and load powers, considers the diesel generator start-up and shut-down operation times, takes advantage of the available solar resource, and keeps the State of Charge (SOC) value of the battery storage system within the safety limits. In addition, the membership functions of the designed FLC are adjusted and compared using meta-heuristic algorithms such as Cuckoo Search (CS) and Particle Swarm Optimization (PSO) to find better solutions. The results show that the EMS adjusted with the PSO algorithm improves the performance.","PeriodicalId":194172,"journal":{"name":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/isie51582.2022.9831553","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

Nowadays, the emergence of isolated-mode microgrids is becoming more notorious for supplying electricity to isolated rural areas. However, the optimal implementation of a microgrid depends on several factors, such as its geographical location, sizing, operating cost, social impact, among others. Therefore, it is necessary to propose feasible solutions for incorporating systems based on isolated microgrids to improve the coverage of electric power in developing countries such as Ecuador, where microgrid implementations are still not reported. In this regard, this study proposes a design of an Energy Management System (EMS) based on Fuzzy Logic Control (FLC) for isolated microgrids. The proposed approach uses the forecast of generation and load powers, considers the diesel generator start-up and shut-down operation times, takes advantage of the available solar resource, and keeps the State of Charge (SOC) value of the battery storage system within the safety limits. In addition, the membership functions of the designed FLC are adjusted and compared using meta-heuristic algorithms such as Cuckoo Search (CS) and Particle Swarm Optimization (PSO) to find better solutions. The results show that the EMS adjusted with the PSO algorithm improves the performance.
基于模糊逻辑控制和元启发式算法的隔离微电网能量管理系统
如今,孤立模式微电网的出现正变得越来越臭名昭著,因为它向偏远的农村地区供电。然而,微电网的最佳实施取决于几个因素,如其地理位置、规模、运营成本、社会影响等。因此,有必要提出可行的解决方案,将基于孤立微电网的系统纳入厄瓜多尔等发展中国家,以提高微电网实施情况尚未报道的电力覆盖范围。为此,本研究提出一种基于模糊逻辑控制(FLC)的隔离微电网能源管理系统(EMS)设计。该方法利用发电功率和负荷功率的预测,考虑柴油发电机启动和关闭运行时间,充分利用可用太阳能资源,使电池储能系统的荷电状态(SOC)值保持在安全范围内。此外,利用布谷鸟搜索(Cuckoo Search, CS)和粒子群优化(Particle Swarm Optimization, PSO)等元启发式算法对所设计的FLC的隶属度函数进行调整和比较,找到更好的解。结果表明,采用粒子群算法调整后的EMS提高了性能。
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