基于惯性权值粒子群算法的Sulselbar传输系统SVC布局优化

Fauzia Haz, Giri Angga Setia, Yusran, S. M. Said, H. R. Iskandar
{"title":"基于惯性权值粒子群算法的Sulselbar传输系统SVC布局优化","authors":"Fauzia Haz, Giri Angga Setia, Yusran, S. M. Said, H. R. Iskandar","doi":"10.1109/ICHVEPS47643.2019.9011127","DOIUrl":null,"url":null,"abstract":"Sulselbar power flow condition indicates the existing of buses voltage under specified standards which is determined. The operation of the Sulselbar electrical system consists of 44 buses and the power loss is 80.104 MW due to the non-optimal location of the reactive power. One of the solution to overcome the problems is the installation of Static Var Compensator (SVC) in Sulselbar transmission system. Several methods were conducted and improved to optimize the location of SVC. In this paper, the installation of SVC is using Inertia Weight Particle Swarm Optimization (IWPSO) which is the improvement of PSO. The optimization result shows that the Sulselbar transmission system require 4 location of SVC which are at bus 5 with 45.7 MVAr, bus 17 with 34.06 MVAr, bus 31 with 50.8 MVAr, and bus 40 with 120 MVAr. The result of the SVC installation is that the bus average raised 3.3% from 0.961 pu to 0.994 pu which also leads to power losses reduction on average of 9.14% from 80.104 MW to 72.777 MW.","PeriodicalId":6677,"journal":{"name":"2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS)","volume":"27 2 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Optimization of SVC Placement in Sulselbar Transmission System Using Inertia Weight Particle Swarm Optimization\",\"authors\":\"Fauzia Haz, Giri Angga Setia, Yusran, S. M. Said, H. R. Iskandar\",\"doi\":\"10.1109/ICHVEPS47643.2019.9011127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sulselbar power flow condition indicates the existing of buses voltage under specified standards which is determined. The operation of the Sulselbar electrical system consists of 44 buses and the power loss is 80.104 MW due to the non-optimal location of the reactive power. One of the solution to overcome the problems is the installation of Static Var Compensator (SVC) in Sulselbar transmission system. Several methods were conducted and improved to optimize the location of SVC. In this paper, the installation of SVC is using Inertia Weight Particle Swarm Optimization (IWPSO) which is the improvement of PSO. The optimization result shows that the Sulselbar transmission system require 4 location of SVC which are at bus 5 with 45.7 MVAr, bus 17 with 34.06 MVAr, bus 31 with 50.8 MVAr, and bus 40 with 120 MVAr. The result of the SVC installation is that the bus average raised 3.3% from 0.961 pu to 0.994 pu which also leads to power losses reduction on average of 9.14% from 80.104 MW to 72.777 MW.\",\"PeriodicalId\":6677,\"journal\":{\"name\":\"2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS)\",\"volume\":\"27 2 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICHVEPS47643.2019.9011127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on High Voltage Engineering and Power Systems (ICHVEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHVEPS47643.2019.9011127","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

母线潮流状态是指母线电压在规定标准下的存在状态。Sulselbar电气系统的运行由44个母线组成,由于无功功率的非最佳位置,功率损失为80.104 MW。解决这一问题的方法之一是在苏塞尔巴输电系统中安装静态无功补偿器(SVC)。对几种方法进行了改进,以优化SVC的位置。本文采用惯性加权粒子群算法(IWPSO)实现SVC的安装,该算法是对粒子群算法的改进。优化结果表明,Sulselbar输电系统需要4个SVC位置,分别为5号母线(45.7 MVAr)、17号母线(34.06 MVAr)、31号母线(50.8 MVAr)和40号母线(120 MVAr)。安装SVC的结果是,母线平均功率从0.961 pu提高到0.994 pu,提高了3.3%,功率损耗也从80.104 MW降低到72.777 MW,平均降低了9.14%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Optimization of SVC Placement in Sulselbar Transmission System Using Inertia Weight Particle Swarm Optimization
Sulselbar power flow condition indicates the existing of buses voltage under specified standards which is determined. The operation of the Sulselbar electrical system consists of 44 buses and the power loss is 80.104 MW due to the non-optimal location of the reactive power. One of the solution to overcome the problems is the installation of Static Var Compensator (SVC) in Sulselbar transmission system. Several methods were conducted and improved to optimize the location of SVC. In this paper, the installation of SVC is using Inertia Weight Particle Swarm Optimization (IWPSO) which is the improvement of PSO. The optimization result shows that the Sulselbar transmission system require 4 location of SVC which are at bus 5 with 45.7 MVAr, bus 17 with 34.06 MVAr, bus 31 with 50.8 MVAr, and bus 40 with 120 MVAr. The result of the SVC installation is that the bus average raised 3.3% from 0.961 pu to 0.994 pu which also leads to power losses reduction on average of 9.14% from 80.104 MW to 72.777 MW.
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:481959085
Book学术官方微信