Frequency Control and small signal stability Improvement with Fuzzy control based Single and two area power systems

Venu Yarlagadda, G. Lakshminarayana, M. Nagajyothi, I. Neelima
{"title":"Frequency Control and small signal stability Improvement with Fuzzy control based Single and two area power systems","authors":"Venu Yarlagadda, G. Lakshminarayana, M. Nagajyothi, I. Neelima","doi":"10.1109/ICAECC54045.2022.9716680","DOIUrl":null,"url":null,"abstract":"Modern Power systems are designed for the fine tuning of frequency and less tolerance for system frequency deviation from nominal value. The Power System is dynamically subjected to the small perturbations of load leading to non-oscillatory Instability due to insufficient damping. The article entente the single area and two area load frequency control and small signal stability analysis. It dispenses the simulation of single area and two area systems with small perturbations of load, with three cases for both kinds of power systems. Case1 without any controller, case2 with PI controller and case3 with Fuzzy Controllers. The simulation is carried out for both single area and two area power systems with all three cases. In the first part of the case study, the simulation results of single area power system for all three cases have been presented. In the second part, the simulation results of two area power system for all three cases have been presented. The simulation results demonstrate the effectiveness of Fuzzy Control perpetuates the frequency with in the endurable range of frequency and subsequently it ensures the small signal stability of both the Power systems against load disturbances.","PeriodicalId":199351,"journal":{"name":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECC54045.2022.9716680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Modern Power systems are designed for the fine tuning of frequency and less tolerance for system frequency deviation from nominal value. The Power System is dynamically subjected to the small perturbations of load leading to non-oscillatory Instability due to insufficient damping. The article entente the single area and two area load frequency control and small signal stability analysis. It dispenses the simulation of single area and two area systems with small perturbations of load, with three cases for both kinds of power systems. Case1 without any controller, case2 with PI controller and case3 with Fuzzy Controllers. The simulation is carried out for both single area and two area power systems with all three cases. In the first part of the case study, the simulation results of single area power system for all three cases have been presented. In the second part, the simulation results of two area power system for all three cases have been presented. The simulation results demonstrate the effectiveness of Fuzzy Control perpetuates the frequency with in the endurable range of frequency and subsequently it ensures the small signal stability of both the Power systems against load disturbances.
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
基于模糊控制的单、两区电力系统频率控制及小信号稳定性改进
现代电力系统是为频率的微调而设计的,对系统频率偏离标称值的容忍度较小。电力系统动态地受到负荷的微小扰动,由于阻尼不足而导致非振荡性失稳。本文进行了单区和双区负荷频率控制和小信号稳定性分析。省去了负荷小扰动的单区系统和双区系统的仿真,两种电力系统分别有三种情况。Case1不带任何控制器,case2带PI控制器,case3带模糊控制器。分别对单区和双区电力系统进行了仿真。在案例研究的第一部分,给出了三种情况下的单区域电力系统的仿真结果。第二部分给出了三种情况下两区电力系统的仿真结果。仿真结果表明,模糊控制能有效地使频率保持在可承受的频率范围内,从而保证了电力系统对负荷扰动的小信号稳定性。
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
Highly Accurate Static Hand Gesture Recognition Model Using Deep Convolutional Neural Network for Human Machine Interaction DV-Hop Propagation Based Localization in Wireless Sensor Networks A Proposed Algorithm to Perform Few Shot Learning with different sampling sizes OpenGL Based Simulation Test Bed for Aircraft Ground Telemetry System using Antenna Beam Forming Energy Efficiency and BER analysis of Concatenated FEC Coded MIMO-OFDM-FSO System
×
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