Voltage Control on 500kV Java-Bali Electrical Power System for Power Losses Minimization Using Gravitational Search Algorithm

Purwoharjono, O. Penangsang, M. Abdillah, A. Soeprijanto
{"title":"Voltage Control on 500kV Java-Bali Electrical Power System for Power Losses Minimization Using Gravitational Search Algorithm","authors":"Purwoharjono, O. Penangsang, M. Abdillah, A. Soeprijanto","doi":"10.1109/ICI.2011.12","DOIUrl":null,"url":null,"abstract":"This paper presents a gravitational search algorithm (GSA) method for voltage control, which reduces transmission losses by adjusting the reactive power variables, such as generator voltages and other sources of reactive power, such as capacitor banks, and provides better system voltage profile. The objective function of the proposed method is to minimize active power losses in transmission line. GSA method uses new meta-heuristics optimizations which are motivated by Newton's law of gravity and motion. This method is implemented in 500 kV Java-Bali electrical power system. The load flow results showed that after the optimization using GSA method, the active power losses was 244.390 MW, while other optimization methods gave 267.559 MW (GA method) and 245.003 MW (PSO method). Comparing the losses obtained by the three optimization methods, GSA method is better for minimizing the active power losses in transmission line.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"54 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 First International Conference on Informatics and Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICI.2011.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This paper presents a gravitational search algorithm (GSA) method for voltage control, which reduces transmission losses by adjusting the reactive power variables, such as generator voltages and other sources of reactive power, such as capacitor banks, and provides better system voltage profile. The objective function of the proposed method is to minimize active power losses in transmission line. GSA method uses new meta-heuristics optimizations which are motivated by Newton's law of gravity and motion. This method is implemented in 500 kV Java-Bali electrical power system. The load flow results showed that after the optimization using GSA method, the active power losses was 244.390 MW, while other optimization methods gave 267.559 MW (GA method) and 245.003 MW (PSO method). Comparing the losses obtained by the three optimization methods, GSA method is better for minimizing the active power losses in transmission line.
基于引力搜索算法的500kV爪哇-巴厘电力系统电压控制
本文提出了一种重力搜索算法(GSA)电压控制方法,该方法通过调节无功功率变量(如发电机电压)和其他无功功率源(如电容器组)来降低传输损耗,并提供更好的系统电压分布。该方法的目标函数是使输电线路的有功损耗最小。GSA方法采用基于牛顿引力和运动定律的新元启发式优化方法。该方法在500千伏的爪哇-巴厘电力系统中实现。负荷流结果表明,采用GSA法优化后的有功功率损耗为244.390 MW,而其他优化方法分别为267.559 MW (GA法)和245.003 MW (PSO法)。对比三种优化方法的损耗,GSA方法更有利于实现输电线路有功损耗的最小化。
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 求助全文
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:604180095
Book学术官方微信