The Optimization of Microgrid Distribution Based on PSO

Aidong Xu, Runhui Zhao, Zhongqi Mao, Hong Wen, Yixin Jiang, Lingzhi Fei, Peiyao Wang, Yunan Zhang
{"title":"The Optimization of Microgrid Distribution Based on PSO","authors":"Aidong Xu, Runhui Zhao, Zhongqi Mao, Hong Wen, Yixin Jiang, Lingzhi Fei, Peiyao Wang, Yunan Zhang","doi":"10.1109/ICAA53760.2021.00025","DOIUrl":null,"url":null,"abstract":"It is important to predict microgrid user's behaviour and the power generation quota of the microgrid for the optimal interaction of power distribution between microgrid generators and users. In this paper, PSO algorithm is used to get the optimal solution of the micro network transaction model, and the weight proportion of each cost attribute of the graph node is calculated through the normalization function and weight proportion formula by collection and analysis the producing electricity and demand data of microgrid system under the edge computing module. The experiment under a small distributed autonomous microgrid proves the effectiveness of the novel method.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAA53760.2021.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

It is important to predict microgrid user's behaviour and the power generation quota of the microgrid for the optimal interaction of power distribution between microgrid generators and users. In this paper, PSO algorithm is used to get the optimal solution of the micro network transaction model, and the weight proportion of each cost attribute of the graph node is calculated through the normalization function and weight proportion formula by collection and analysis the producing electricity and demand data of microgrid system under the edge computing module. The experiment under a small distributed autonomous microgrid proves the effectiveness of the novel method.
基于粒子群算法的微电网配电优化
预测微网用户的行为和微网的发电配额对于实现微网发电机组和用户之间的最佳配电交互具有重要意义。本文采用粒子群算法得到微网交易模型的最优解,并通过收集和分析微网系统在边缘计算模块下的发电量和需求数据,通过归一化函数和权重比例公式计算图节点各成本属性的权重比例。在小型分布式自治微电网下的实验验证了该方法的有效性。
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:481959085
Book学术官方微信