Voltage Stability Maximization by Optimal Wind Turbine Insertion Using Genetic Algorithm

M. Mosbah, R. Bawazir, N. Cetin, S. Arif, K. Sebaa
{"title":"Voltage Stability Maximization by Optimal Wind Turbine Insertion Using Genetic Algorithm","authors":"M. Mosbah, R. Bawazir, N. Cetin, S. Arif, K. Sebaa","doi":"10.51485/AJSS.V6I1.124","DOIUrl":null,"url":null,"abstract":"The integration of clean or renewable sources such as wind turbines based distributed generation (WT_DG) into the power system has become one of the priorities of the grid operator. In this paper a study on the search for optimal locations and sizes of WT in the transmission network has been carried in order to maximize the lambda parameter and therefore the voltage stability, using Genetic Algorithms Technique (GAT). This method has been applied on the modified IEEE 30 bus network, with MATLAB code. The results demonstrated the effectiveness of wind turbine integration in improving the voltage stability of the studied network.    ","PeriodicalId":153848,"journal":{"name":"Algerian Journal of Signals and Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Algerian Journal of Signals and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51485/AJSS.V6I1.124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The integration of clean or renewable sources such as wind turbines based distributed generation (WT_DG) into the power system has become one of the priorities of the grid operator. In this paper a study on the search for optimal locations and sizes of WT in the transmission network has been carried in order to maximize the lambda parameter and therefore the voltage stability, using Genetic Algorithms Technique (GAT). This method has been applied on the modified IEEE 30 bus network, with MATLAB code. The results demonstrated the effectiveness of wind turbine integration in improving the voltage stability of the studied network.    
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
基于遗传算法的风电机组最优插入电压稳定最大化
将清洁或可再生能源(如基于风力涡轮机的分布式发电)整合到电力系统中已成为电网运营商的优先事项之一。本文利用遗传算法技术(GAT)研究了在输电网中寻找小波变换的最佳位置和大小,以使λ参数最大化,从而保证电压的稳定性。该方法已在改进的ieee30总线网络上得到应用,并附有MATLAB代码。结果表明,风电机组集成对改善电网电压稳定性是有效的。
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
Energy Management System in Smart Micro-Grid Impact of Voltage Temperature Coefficient on power prediction of four type silicon photovoltaic module technologies installed in real conditions in the north-central of Algeria PD adaptive controller method for a three-axis stabilized rigid satellite attitude system DFIG Wind Turbine Controlled by Sliding Mode and Fuzzy-Sliding Control Modes Design and simulation of Demodulator Based BELL-202 standard for NanoSatellite Communication Sub-system
×
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