Dynamic Stability Enhancement of Power System using PSO Optimized fuzzy Power System Stabilizer

被引：0

作者：

Arora, Ritika ^{[1
]}

Dahiya, Surender ^{[1
]}

机构：

[1] DCR Univ Sc & Technol, Dept Elect Engn, Sonepat, Haryana, India

来源：

2014 6TH IEEE POWER INDIA INTERNATIONAL CONFERENCE (PIICON) | 2014年

关键词：

Fuzzy logic controller (FLC); simulink; power system stabilizer; swarm optimization (PSO); dynamic stability;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents the PSO optimized fuzzy logic power system stabilizer (FPSS) to enhance the dynamic stability of the entire power system using PHILLIPS HEFFRON MODEL for single machine infinite bus (SMIB) system. Various input and output parameters of the fuzzy logic controller are optimized using the Particle swarm optimization (PSO) technique to achieve better results and enhanced stability. Out of the various choices for input to the fuzzy logic controller, the angular speed deviation Delta omega and acceleration Delta omega are taken as the input to fuzzy logic controller. Moreover the behavior of the conventional controller, fuzzy logic controller and PSO optimized FPSS is compared for various parameters.

引用

页数：6

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