基于蚁群的OLTC和RPCE优化调谐提高电力系统电压稳定性

M. Mohammadian, M. Khaleghi, R. Azimi, A. Gharaveisi
{"title":"基于蚁群的OLTC和RPCE优化调谐提高电力系统电压稳定性","authors":"M. Mohammadian, M. Khaleghi, R. Azimi, A. Gharaveisi","doi":"10.1109/AEECT.2011.6132495","DOIUrl":null,"url":null,"abstract":"This paper proposed a novel strategy based on developed Ant Colony Optimization (ACO) algorithm which attempts to improve the voltage stability of the power systems with respect to minimum real power loss and proper voltages profile. This algorithm uses optimum settings of On-Line Tap Changer transformer (OLTC) and minimum number of Reactive Power Compensation Equipment (RPCE). The proposed algorithm is programmed on MATLAB and examine on IEEE 30-bus Test System to demonstrate the validity and the convenience of ACO approach with promising results.","PeriodicalId":408446,"journal":{"name":"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimal tuning of OLTC and RPCE to improve power system voltage stability based on ant colony\",\"authors\":\"M. Mohammadian, M. Khaleghi, R. Azimi, A. Gharaveisi\",\"doi\":\"10.1109/AEECT.2011.6132495\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposed a novel strategy based on developed Ant Colony Optimization (ACO) algorithm which attempts to improve the voltage stability of the power systems with respect to minimum real power loss and proper voltages profile. This algorithm uses optimum settings of On-Line Tap Changer transformer (OLTC) and minimum number of Reactive Power Compensation Equipment (RPCE). The proposed algorithm is programmed on MATLAB and examine on IEEE 30-bus Test System to demonstrate the validity and the convenience of ACO approach with promising results.\",\"PeriodicalId\":408446,\"journal\":{\"name\":\"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEECT.2011.6132495\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEECT.2011.6132495","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文提出了一种基于蚁群优化(蚁群优化)算法的新策略,旨在以最小的实际功率损耗和合适的电压分布为目标,提高电力系统的电压稳定性。该算法采用在线分接变压器(OLTC)的最优设置和无功补偿设备(RPCE)的最小数量。在MATLAB上编写了算法程序,并在IEEE 30总线测试系统上进行了测试,验证了蚁群算法的有效性和便捷性,取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal tuning of OLTC and RPCE to improve power system voltage stability based on ant colony
This paper proposed a novel strategy based on developed Ant Colony Optimization (ACO) algorithm which attempts to improve the voltage stability of the power systems with respect to minimum real power loss and proper voltages profile. This algorithm uses optimum settings of On-Line Tap Changer transformer (OLTC) and minimum number of Reactive Power Compensation Equipment (RPCE). The proposed algorithm is programmed on MATLAB and examine on IEEE 30-bus Test System to demonstrate the validity and the convenience of ACO approach with promising results.
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:604180095
Book学术官方微信