ENHANCEMENT OF VOLTAGE STABILITY IN THE POWER SYSTEM USING GENETIC ALGORITHM

Q4 Engineering
K. Choden, Sonam, Sherub Tenzin, Karchung, Yeshi Seldon
{"title":"ENHANCEMENT OF VOLTAGE STABILITY IN THE POWER SYSTEM USING GENETIC ALGORITHM","authors":"K. Choden, Sonam, Sherub Tenzin, Karchung, Yeshi Seldon","doi":"10.54417/jaetm.v2i1.59","DOIUrl":null,"url":null,"abstract":"The power system should ensure safe and consistent power to the customer. For secure operation, the voltage should be within the desired limits, or else it will result in voltage collapse and power losses. The power system will be more competent, economic, reliable, and reduce power losses if the voltage stability is enhanced. Since the voltage stability is determined by the reactive power of the network, a reactive power source should be provided to safeguard the stability of the power system. This paper presents the enhancement of voltage stability in the power system using a Genetic Algorithm (GA). The GA approach is used to find the optimal value of control variables such as generator bus voltage, shunt capacitance, and transformer tap setting which are the source of reactive power. The GA was executed via MATLAB programming with MATPOWER. The propounded method was tested on the western grid of Bhutan to minimize the real power losses. The results demonstrate improved voltage stability in the power system and a significant reduction in power losses. The results will help Power System Operators to make a better decision while encountering voltage issues in their power lines. Moreover, this research will guide future research in dealing with similar research especially in calculating the optimal location of FACT devices for reactive power compensation.","PeriodicalId":38544,"journal":{"name":"Journal of Technology, Management, and Applied Engineering","volume":"46 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Technology, Management, and Applied Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54417/jaetm.v2i1.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

Abstract

The power system should ensure safe and consistent power to the customer. For secure operation, the voltage should be within the desired limits, or else it will result in voltage collapse and power losses. The power system will be more competent, economic, reliable, and reduce power losses if the voltage stability is enhanced. Since the voltage stability is determined by the reactive power of the network, a reactive power source should be provided to safeguard the stability of the power system. This paper presents the enhancement of voltage stability in the power system using a Genetic Algorithm (GA). The GA approach is used to find the optimal value of control variables such as generator bus voltage, shunt capacitance, and transformer tap setting which are the source of reactive power. The GA was executed via MATLAB programming with MATPOWER. The propounded method was tested on the western grid of Bhutan to minimize the real power losses. The results demonstrate improved voltage stability in the power system and a significant reduction in power losses. The results will help Power System Operators to make a better decision while encountering voltage issues in their power lines. Moreover, this research will guide future research in dealing with similar research especially in calculating the optimal location of FACT devices for reactive power compensation.
利用遗传算法增强电力系统电压稳定性
电力系统应保证向用户提供安全、稳定的电力。为了安全运行,电压应在期望的范围内,否则将导致电压崩溃和功率损失。提高电压的稳定性,将提高电力系统的能力、经济性、可靠性,减少电力损耗。由于电压的稳定性是由电网的无功功率决定的,因此需要提供无功电源来保障电力系统的稳定。提出了一种利用遗传算法增强电力系统电压稳定性的方法。利用遗传算法求出作为无功源的发电机母线电压、并联电容和变压器分接整定等控制变量的最优值。采用MATLAB编程软件MATPOWER执行遗传算法。提出的方法在不丹西部电网上进行了试验,以最大限度地减少实际电力损耗。结果表明,该方法提高了电力系统的电压稳定性,并显著降低了功率损耗。研究结果将有助于电力系统操作员在遇到电力线电压问题时做出更好的决策。此外,本研究对今后处理类似研究,特别是计算FACT装置无功补偿的最佳位置具有指导意义。
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
CiteScore
0.60
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