Damping of power system oscillations by tuning of PSS and SVC using particle swarm optimization

被引：4

作者：

Karuppiah, Natarajan ^{[1
]}

Malathi, Veluchamy ^{[2
]}

机构：

[1] Latha Mathavan Engineering College, Latha Mathavan Nagar, Kidaripatti Post, Alagarkovil, Madurai,Tamilnadu,625 301, India

[2] Anna University Regional Office Madurai, 16, Sidco Estate, Madurai,Tamilnadu,625 007, India

来源：

Tehnicki Vjesnik | 2016年 / 23卷 / 01期

关键词：

Energy transfer - Heuristic algorithms - Particle swarm optimization (PSO) - Controllers - Electric power system control - Damping - Power control - Fuzzy logic;

D O I：

10.17559/TV-20150121080351

中图分类号：

学科分类号：

摘要：

This paper presents a heuristic algorithm PSO based simultaneous coordinated tuning of the SVC damping controller and power system stabilizer (PSS) in a two machine three bus power system. The coordinated tuning of PSS and SVC damping controller is converted to an optimization problem which is solved by particle swarm optimization (PSO) technique. The parameters like rotor angle deviation, settling time of disturbances post fault and transmission line active power are observed. The results obtained with PSO tuned SVC and PSS are compared with those of conventional PSS and Fuzzy controlled SVC and PSS. PSO tuned SVC and PSS gives better results. The effectiveness of each control method is verified using MATLAB. The results also show that the proposed coordinated controllers have increased power system oscillations damping capability. © 2016, Strojarski Facultet. All rights reserved.

引用

页码：221 / 227