Multi area load frequency control using particle swarm optimization and fuzzy rules

被引：31

作者：

Dhillon, Sukhwinder Singh ^{[1
]}

Lather, Jagdeep Singh ^{[2
]}

Marwaha, Sanjay ^{[1
]}

机构：

[1] SLIET, Elect & Instrumentat Engg, Sangrur 148016, Punjab, India

[2] NIT, Dept Elect Engn, Kurukshetra 136119, Haryana, India

来源：

3RD INTERNATIONAL CONFERENCE ON RECENT TRENDS IN COMPUTING 2015 (ICRTC-2015) | 2015年 / 57卷

关键词：

Load Frequency Control; Particle Swarm Optimization; Fuzzy Rules; Error Analysis; POWER-SYSTEM; ALGORITHM;

D O I：

10.1016/j.procs.2015.07.363

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper present heuristics based study of multi area power network. Heuristic procedures involving Particle Swarm Intelligence and Fuzzy based inferences have been employed to effectively obtain the optimized gains of PID controller. Any change in the load demand causes generator's shaft speed lower than the pre-set value and the system frequency deviates from the standard value results in malfunctioning of frequency relays. A five area load frequency model is constructed in Matlab/simulink by implementing the PID (Proportional, Integral and Differential) controllers to control the frequency deviations. The effect of interconnection of multi area power system as ring connection has been discussed. Simulations performed show the effectiveness of the current approach over simple fuzzy inferences in terms of performance as well as execution efficiency. (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：460 / 472

页数：13

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