Multi Area AGC Problem of T.G.U Solved Through GA (Using Tuning of PID) Controller

Ashish Dhamanda, A. Bhardwaj
{"title":"Multi Area AGC Problem of T.G.U Solved Through GA (Using Tuning of PID) Controller","authors":"Ashish Dhamanda, A. Bhardwaj","doi":"10.4172/0976-4860.1000207","DOIUrl":null,"url":null,"abstract":"Major issue of modern power system having complex power structure, it is necessary for Thermal Generating Unit (TGU) to continuous supplying an electric power with the increasing demand. Owing to this Automatic Generation Control (AGC) play a key role for maintaining the frequency oscillation and tie-line power due to unpredictable load changes. This paper help to solve the settling time issue of load frequency and tie-line power for multi area (Five area) AGC interconnected TGU Reheat and Non-Reheat system using different controllers like GA (Using Tuning of PID) controller, Fuzzy controller and PID controller. For better results the combined response of frequency and tieline deviation has been obtained separately for multi areas reheat and non-reheat T.G.U system and the comparative Tables of the entire controller’s response is taking place separately. The results obtain from the combined response and comparative table, shows that GA controller gives the better dynamic performance due to settle down frequency and tie-line power deviation in less time and satisfy the automatic generation control requirements.","PeriodicalId":90538,"journal":{"name":"International journal of advancements in computing technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of advancements in computing technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/0976-4860.1000207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Major issue of modern power system having complex power structure, it is necessary for Thermal Generating Unit (TGU) to continuous supplying an electric power with the increasing demand. Owing to this Automatic Generation Control (AGC) play a key role for maintaining the frequency oscillation and tie-line power due to unpredictable load changes. This paper help to solve the settling time issue of load frequency and tie-line power for multi area (Five area) AGC interconnected TGU Reheat and Non-Reheat system using different controllers like GA (Using Tuning of PID) controller, Fuzzy controller and PID controller. For better results the combined response of frequency and tieline deviation has been obtained separately for multi areas reheat and non-reheat T.G.U system and the comparative Tables of the entire controller’s response is taking place separately. The results obtain from the combined response and comparative table, shows that GA controller gives the better dynamic performance due to settle down frequency and tie-line power deviation in less time and satisfy the automatic generation control requirements.
利用遗传算法(利用PID整定)控制器解决了汽轮机的多区域AGC问题
电力结构复杂是现代电力系统的主要问题,随着电力需求的不断增长,火电机组必须持续供电。因此,自动发电控制(AGC)在维持不可预测负荷变化时的频率振荡和联络线功率方面起着关键作用。本文解决了采用GA (using Tuning of PID)控制器、模糊控制器和PID控制器等不同控制器的多区(五区)AGC并联TGU再热与非再热系统的负荷频率和联络线功率的确定时间问题。为了获得更好的结果,分别得到了多区再热和非再热燃气轮机系统的频率和线偏差的联合响应,并分别给出了整个控制器响应的对比表。综合响应和对比表的结果表明,遗传算法在较短的时间内稳定频率和联络线功率偏差,具有较好的动态性能,能够满足自动发电控制的要求。
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:481959085
Book学术官方微信