Reactive Power Management in Offshore Wind Farms by Adaptive PSO

V. S. Pappala, S.N. Singh, M. Wilch, I. Erlich
{"title":"Reactive Power Management in Offshore Wind Farms by Adaptive PSO","authors":"V. S. Pappala, S.N. Singh, M. Wilch, I. Erlich","doi":"10.1109/ISAP.2007.4441595","DOIUrl":null,"url":null,"abstract":"According to the new grid codes, wind parks must operate similar to other conventional power plants. Offshore wind parks are connected to the main grid with long cables and reactive power management is a big concern to the operators in the changing wind power conditions. This paper addresses the optimal reactive power dispatch (ORPD), which is a mixed-integer nonlinear optimization problem. The integer variables in ORPD are tap positions of the transformers, switching of cables and switched reactors, if present. A new adaptive particle swarm optimization (APSO), which is free from tuning of population size and is based on different sized groups of particles called \"Tribes\", is used to solve the ORPD problem. The proposed APSO is embedded in the Newton-Raphson load flow program. The effectiveness of the proposed algorithm is demonstrated on a real offshore wind farm, which is currently in planning stage, in Germany.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Intelligent Systems Applications to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAP.2007.4441595","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37

Abstract

According to the new grid codes, wind parks must operate similar to other conventional power plants. Offshore wind parks are connected to the main grid with long cables and reactive power management is a big concern to the operators in the changing wind power conditions. This paper addresses the optimal reactive power dispatch (ORPD), which is a mixed-integer nonlinear optimization problem. The integer variables in ORPD are tap positions of the transformers, switching of cables and switched reactors, if present. A new adaptive particle swarm optimization (APSO), which is free from tuning of population size and is based on different sized groups of particles called "Tribes", is used to solve the ORPD problem. The proposed APSO is embedded in the Newton-Raphson load flow program. The effectiveness of the proposed algorithm is demonstrated on a real offshore wind farm, which is currently in planning stage, in Germany.
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
基于自适应粒子群算法的海上风电场无功管理
根据新的电网规范,风电场必须像其他传统发电厂一样运行。海上风电场通过长电缆连接到主电网,在不断变化的风力发电条件下,无功功率管理是运营商的一个大问题。本文研究无功最优调度问题,这是一个混合整数非线性优化问题。ORPD中的整数变量是变压器的分接位置,电缆的开关和开关电抗器(如果存在)。采用一种新的自适应粒子群算法(APSO)来解决ORPD问题,该算法不需要调整粒子群的大小,而是基于不同大小的粒子群(称为“部落”)。所提出的APSO嵌入在牛顿-拉夫森负荷流程序中。该算法的有效性在德国一个实际的海上风电场中得到了验证,该风电场目前处于规划阶段。
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
The Online Estimate of System Parameters For Adaptive Tuning on Automatic Generation Control Exploiting Multi-agent System Technology within an Autonomous Regional Active Network Management System PC Cluster based Parallel PSO Algorithm for Optimal Power Flow MFFN based Static Synchronous Series Compensator (SSSC) for Transient Stability improvement Reactive Power Management in Offshore Wind Farms by Adaptive PSO
×
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