Facts allocation for power systems voltage stability enhancement using MOPSO

A. Laifa, M. Boudour
{"title":"Facts allocation for power systems voltage stability enhancement using MOPSO","authors":"A. Laifa, M. Boudour","doi":"10.1109/SSD.2008.4632855","DOIUrl":null,"url":null,"abstract":"Location of the static VAR compensator (SVC) and other types of FACTS devices is important for the enhancement of practical power systems voltage stability. In this paper, a Multi-objective particle swarm optimization (MOPSO) is used to solve a mixed continuous-discrete multi-objective optimization problem in order to find optimal location of FACTS. Various objectives are considered, namely voltage stability improvement, real power loss minimization and load voltage deviations minimization. Simulations are performed on IEEE 14 test system for optimal location and size of FACTS devices. Analysis of the initial conditions to determine the voltage stability margins and a contingency analysis to determine the critical outages with respect to the voltage stability margin are also examined in order to evaluate their effect on the location analysis. The obtained results show that with the allocation of FACTS devices with the proposed method, the voltage stability is considerably enhanced in both normal state and critical contingencies. The calculation of the load margin demonstrates the effectiveness of the proposed method.","PeriodicalId":267264,"journal":{"name":"2008 5th International Multi-Conference on Systems, Signals and Devices","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 5th International Multi-Conference on Systems, Signals and Devices","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSD.2008.4632855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25

Abstract

Location of the static VAR compensator (SVC) and other types of FACTS devices is important for the enhancement of practical power systems voltage stability. In this paper, a Multi-objective particle swarm optimization (MOPSO) is used to solve a mixed continuous-discrete multi-objective optimization problem in order to find optimal location of FACTS. Various objectives are considered, namely voltage stability improvement, real power loss minimization and load voltage deviations minimization. Simulations are performed on IEEE 14 test system for optimal location and size of FACTS devices. Analysis of the initial conditions to determine the voltage stability margins and a contingency analysis to determine the critical outages with respect to the voltage stability margin are also examined in order to evaluate their effect on the location analysis. The obtained results show that with the allocation of FACTS devices with the proposed method, the voltage stability is considerably enhanced in both normal state and critical contingencies. The calculation of the load margin demonstrates the effectiveness of the proposed method.
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MOPSO增强电力系统电压稳定性的事实分配
静态无功补偿器(SVC)和其他类型的FACTS装置的位置对提高实际电力系统的电压稳定性非常重要。本文采用多目标粒子群算法(MOPSO)求解混合连续-离散多目标优化问题,以寻找事实的最优位置。该方法考虑了提高电压稳定性、减小实际功率损耗和减小负载电压偏差等目标。在ieee14测试系统上对FACTS器件的最佳位置和尺寸进行了仿真。为了评估它们对位置分析的影响,还研究了确定电压稳定裕度的初始条件分析和确定与电压稳定裕度相关的临界中断的偶然性分析。结果表明,采用该方法配置FACTS器件后,无论在正常状态下还是在危急情况下,电压稳定性都得到了显著提高。负荷余量的计算验证了该方法的有效性。
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
Synthesis of a robust neural input-state feedback controller for nonlinear systems Rapid joint semi-blind estimation algorithm for carrier phase and timing parameter A new filter design for uniform linear array Robust sensorless speed control purpose for induction motors Marine propeller dynamics modeling using a frequency domain approach
×
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