Energy Management System of a Microgrid using Particle Swarm Optimization and Wireless Communication System

Mohammad. Y. Ali, Faizan Khan, V. Sood
{"title":"Energy Management System of a Microgrid using Particle Swarm Optimization and Wireless Communication System","authors":"Mohammad. Y. Ali, Faizan Khan, V. Sood","doi":"10.1109/EPEC.2018.8598416","DOIUrl":null,"url":null,"abstract":"An Energy Management System (EMS) is required to control the flow of power and match generation with the load within a microgrid during grid-connected and islanded modes of operation. An optimisation algorithm is needed to minimise the cost of the energy drawn from the grid, generated within the grid and consumed by the loads. In this paper, an optimisation algorithm based on Particle Swarm Optimisation (PSO) algorithm is used. Case studies with grid-connected and islanded modes of operation demonstrate the effectiveness of the optimisation algorithm. Also, since the EMS Control Centre is normally at a remote location from the microgrid, a communication system is needed to exchange information between the Master Controller of the EMS Control Centre and the Local Controllers of the various generators. A low-cost communication system has been developed to demonstrate the feasibility of the communication channel required between the Master Controller and the Local Controllers.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Electrical Power and Energy Conference (EPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEC.2018.8598416","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

An Energy Management System (EMS) is required to control the flow of power and match generation with the load within a microgrid during grid-connected and islanded modes of operation. An optimisation algorithm is needed to minimise the cost of the energy drawn from the grid, generated within the grid and consumed by the loads. In this paper, an optimisation algorithm based on Particle Swarm Optimisation (PSO) algorithm is used. Case studies with grid-connected and islanded modes of operation demonstrate the effectiveness of the optimisation algorithm. Also, since the EMS Control Centre is normally at a remote location from the microgrid, a communication system is needed to exchange information between the Master Controller of the EMS Control Centre and the Local Controllers of the various generators. A low-cost communication system has been developed to demonstrate the feasibility of the communication channel required between the Master Controller and the Local Controllers.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于粒子群优化和无线通信的微电网能量管理系统
在并网和孤岛运行模式下,需要一个能量管理系统(EMS)来控制微电网的功率流,并使发电与负荷相匹配。需要一种优化算法来最小化从电网中获取的能量的成本,在电网中产生的能量和负载消耗的能量。本文采用了一种基于粒子群优化算法(PSO)的优化算法。并网和孤岛运行模式的实例研究证明了优化算法的有效性。此外,由于EMS控制中心通常位于远离微电网的位置,因此需要一个通信系统来在EMS控制中心的主控制器和各种发电机的本地控制器之间交换信息。开发了一个低成本的通信系统,以证明主控制器和本地控制器之间所需通信信道的可行性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Power Mismatch Elimination Strategy for an MMC-based PV System in Unbalanced Grids Implementation and Testing of a Hybrid Protection Scheme for Active Distribution Network Evaluation of Parametric Statistical Models for Wind Speed Probability Density Estimation Modeling of Ferroresonance Phenomena in MV Networks Emulating Subsynchronous Resonance using Hardware and Software Implementation
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1