Benefit-Based Optimal Allocation of FACTS: SVC Device for Improvement of Transmission Network Loadability

Y. Chang, C. Yang
{"title":"Benefit-Based Optimal Allocation of FACTS: SVC Device for Improvement of Transmission Network Loadability","authors":"Y. Chang, C. Yang","doi":"10.1109/ISAP.2007.4441626","DOIUrl":null,"url":null,"abstract":"After deregulation, power transactions are significantly increased and thus it becomes more urgent to improve system transmission loadability (TL). Utilization of flexible AC transmission systems (FACTS) can be a better choice to accommodate the requirement instead of building new transmission lines. FACTS devices can enhance system dynamic behavior and system reliability. If they are installed at suitable positions and provide system with sufficient capacities, TL may be largely improved. This issue is playing an increasingly vital role in operation and control for the deregulated markets. The objectives of the optimization problem in the paper involve to maximize the benefit from the future fuel expense with proper investment in the allocation of FACTS devices and to improve TL the most. The solution method proposed is based on the particle swarm optimization (PSO) algorithm involving in the computational procedure of the continuation power flow (PFC). Only static VAR compensator (SVC) is used; however, the installation of SVC and the effectiveness of the solution method can be validated.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","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.2007.4441626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

After deregulation, power transactions are significantly increased and thus it becomes more urgent to improve system transmission loadability (TL). Utilization of flexible AC transmission systems (FACTS) can be a better choice to accommodate the requirement instead of building new transmission lines. FACTS devices can enhance system dynamic behavior and system reliability. If they are installed at suitable positions and provide system with sufficient capacities, TL may be largely improved. This issue is playing an increasingly vital role in operation and control for the deregulated markets. The objectives of the optimization problem in the paper involve to maximize the benefit from the future fuel expense with proper investment in the allocation of FACTS devices and to improve TL the most. The solution method proposed is based on the particle swarm optimization (PSO) algorithm involving in the computational procedure of the continuation power flow (PFC). Only static VAR compensator (SVC) is used; however, the installation of SVC and the effectiveness of the solution method can be validated.
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
基于效益的FACTS优化配置:SVC设备提高输电网负荷
解除管制后,电力交易大幅增加,提高系统输电负荷变得更加迫切。利用柔性交流输电系统(FACTS)可以更好地满足需求,而不是新建输电线路。FACTS设备可以增强系统的动态行为和系统可靠性。如果安装在合适的位置,并提供足够的系统容量,可以大大改善TL。这个问题在解除管制的市场运作和控制中发挥着越来越重要的作用。本文优化问题的目标是在合理配置FACTS设备的情况下,使未来燃料费用的收益最大化,并最大限度地提高TL。提出的求解方法是基于连续潮流计算过程中的粒子群优化算法(PSO)。仅使用静态无功补偿器(SVC);然而,SVC的安装和求解方法的有效性可以得到验证。
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