带可再生能源渗透的模糊PI控制器在四区互联电力系统负荷频率控制中的应用

P. Krishna, V. Meena, Vinay Singh
{"title":"带可再生能源渗透的模糊PI控制器在四区互联电力系统负荷频率控制中的应用","authors":"P. Krishna, V. Meena, Vinay Singh","doi":"10.1109/ICPC2T53885.2022.9777076","DOIUrl":null,"url":null,"abstract":"Load frequency control (LFC) in an interconnected power system is advancing towards a crucial path due to the modern penetration of highly uncertain renewable energy sources in power systems. The modern LFC systems should be capable of handling complex regulation problems with a high degree of renewable source diversification to assure the generation-load balance. In this contribution, a rule-based fuzzy PI controller is implemented in a four-area interconnected power system with penetration of renewable energy sources like wind energy, hydro-gen aqua electrolyzer - fuel cell (HAE-FC), photo-voltaic (PV) system, and geothermal energy sources separately in each area along with a conventional energy source. The frequency response of four-area interconnected power system is obtained employing a rule-based fuzzy PI controller for load disturbances and is compared with the conventional PI controller. The simulation results demonstrate the superiority of the fuzzy PI controller over the conventional PI controller.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Load Frequency Control in Four-area Interconnected Power System Using Fuzzy PI Controller With Penetration of Renewable Energies\",\"authors\":\"P. Krishna, V. Meena, Vinay Singh\",\"doi\":\"10.1109/ICPC2T53885.2022.9777076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Load frequency control (LFC) in an interconnected power system is advancing towards a crucial path due to the modern penetration of highly uncertain renewable energy sources in power systems. The modern LFC systems should be capable of handling complex regulation problems with a high degree of renewable source diversification to assure the generation-load balance. In this contribution, a rule-based fuzzy PI controller is implemented in a four-area interconnected power system with penetration of renewable energy sources like wind energy, hydro-gen aqua electrolyzer - fuel cell (HAE-FC), photo-voltaic (PV) system, and geothermal energy sources separately in each area along with a conventional energy source. The frequency response of four-area interconnected power system is obtained employing a rule-based fuzzy PI controller for load disturbances and is compared with the conventional PI controller. The simulation results demonstrate the superiority of the fuzzy PI controller over the conventional PI controller.\",\"PeriodicalId\":283298,\"journal\":{\"name\":\"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPC2T53885.2022.9777076\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPC2T53885.2022.9777076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

随着高不确定性可再生能源在现代电力系统中的渗透,互联电力系统的负荷频率控制(LFC)正朝着一个至关重要的方向发展。现代LFC系统应能够处理复杂的调节问题,具有高度的可再生能源多样化,以确保发电负荷平衡。在这个贡献中,一个基于规则的模糊PI控制器在一个四区互联电力系统中实现,该系统在每个区域分别渗透可再生能源,如风能、氢-水电解槽-燃料电池(HAE-FC)、光伏(PV)系统和地热能,以及传统能源。采用基于规则的模糊PI控制器对负荷扰动进行控制,得到了四区互联电力系统的频率响应,并与传统的PI控制器进行了比较。仿真结果表明了模糊PI控制器相对于传统PI控制器的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Load Frequency Control in Four-area Interconnected Power System Using Fuzzy PI Controller With Penetration of Renewable Energies
Load frequency control (LFC) in an interconnected power system is advancing towards a crucial path due to the modern penetration of highly uncertain renewable energy sources in power systems. The modern LFC systems should be capable of handling complex regulation problems with a high degree of renewable source diversification to assure the generation-load balance. In this contribution, a rule-based fuzzy PI controller is implemented in a four-area interconnected power system with penetration of renewable energy sources like wind energy, hydro-gen aqua electrolyzer - fuel cell (HAE-FC), photo-voltaic (PV) system, and geothermal energy sources separately in each area along with a conventional energy source. The frequency response of four-area interconnected power system is obtained employing a rule-based fuzzy PI controller for load disturbances and is compared with the conventional PI controller. The simulation results demonstrate the superiority of the fuzzy PI controller over the conventional PI controller.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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