Integrated Scheduling and Control System of Microgrid Based on Dynamic Programming Algorithm

Bin Chen, Jiang Jiang, Yan-qing Shao
{"title":"Integrated Scheduling and Control System of Microgrid Based on Dynamic Programming Algorithm","authors":"Bin Chen, Jiang Jiang, Yan-qing Shao","doi":"10.1109/ICICACS57338.2023.10099706","DOIUrl":null,"url":null,"abstract":"With the continuous development of the Internet, the technical requirements for microgrids are also constantly improving. Today, micropower applications are mainly found in industrial and commercial areas, urban areas and remote areas. With the rapid development of computers and telecommunication equipment, microgrids are also integrated into the fields of computers, control technology, algorithm strategies, etc., and gradually change to the direction of automation. Microgrid technology is becoming a new force in network systems to make up for the deficiencies of traditional networks. Therefore, the development of microgrid is very important to the development of power grid. This paper aims to study the integrated dispatch and control system of microgrid based on dynamic programming algorithm. On the basis of analyzing the comparison between dynamic programming algorithm and other algorithms and the requirements of the integrated system of regulation, the integrated dispatching and control system of microgrid is analyzed. In order to verify the advantages of the proposed algorithm, this paper compares the dynamic programming algorithm with the traditional algorithms GA and PSO. The results show that the dynamic programming algorithm can directly calculate the optimal value of multiple data blocks, which speeds up the convergence process, thus greatly reducing the iteration cycle of the algorithm, and can better meet the needs of automatic power generation instruction cycle.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICACS57338.2023.10099706","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

With the continuous development of the Internet, the technical requirements for microgrids are also constantly improving. Today, micropower applications are mainly found in industrial and commercial areas, urban areas and remote areas. With the rapid development of computers and telecommunication equipment, microgrids are also integrated into the fields of computers, control technology, algorithm strategies, etc., and gradually change to the direction of automation. Microgrid technology is becoming a new force in network systems to make up for the deficiencies of traditional networks. Therefore, the development of microgrid is very important to the development of power grid. This paper aims to study the integrated dispatch and control system of microgrid based on dynamic programming algorithm. On the basis of analyzing the comparison between dynamic programming algorithm and other algorithms and the requirements of the integrated system of regulation, the integrated dispatching and control system of microgrid is analyzed. In order to verify the advantages of the proposed algorithm, this paper compares the dynamic programming algorithm with the traditional algorithms GA and PSO. The results show that the dynamic programming algorithm can directly calculate the optimal value of multiple data blocks, which speeds up the convergence process, thus greatly reducing the iteration cycle of the algorithm, and can better meet the needs of automatic power generation instruction cycle.
基于动态规划算法的微电网综合调度控制系统
随着互联网的不断发展,对微电网的技术要求也在不断提高。今天,微电源的应用主要在工业和商业领域、城市地区和偏远地区。随着计算机和通信设备的飞速发展,微电网也融入了计算机、控制技术、算法策略等领域,逐步向自动化方向转变。微电网技术正在成为网络系统中弥补传统网络不足的一支生力军。因此,微电网的发展对电网的发展至关重要。本文旨在研究基于动态规划算法的微电网综合调度控制系统。在分析动态规划算法与其他算法的比较和综合调度系统要求的基础上,对微电网综合调度控制系统进行了分析。为了验证所提算法的优越性,本文将动态规划算法与传统的遗传算法和粒子群算法进行了比较。结果表明,动态规划算法可以直接计算出多个数据块的最优值,加快了收敛过程,从而大大缩短了算法的迭代周期,能够更好地满足自动发电指令周期的需要。
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