Optimal Tuning and Placement of Power System Stabilizer using Particle Swarm Optimization Algorithm

被引：0

作者：

Stativa, Andrei ^{[1
]}

Gavrilas, Mihai ^{[1
]}

Stahie, Vasile

机构：

[1] Gheorghe Asachi Tech Univ Iasi, Power Syst Dept, Iasi, Romania

来源：

PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE AND EXPOSITION ON ELECTRICAL AND POWER ENGINEERING (EPE 2012) | 2012年

关键词：

modal analysis; electromechanical oscillations; PSS; DigSILENT; Matlab;

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：

The main objective of this paper is the enhancement of power system stability by optimal tuning and placement of Power System Stabilizer (PSS) using evolutionary algorithms (Particle Swarm Optimization - PSO). In this approach, Matlab and DigSILENT are employed and linked together in a genuine automatic data exchange procedure. Consequently, the test system and the controllers are modeled in DigSILENT and the PSO algorithm is implemented in Matlab. For evaluating the particles evolution throughout the searching process, an eigenvalue-based multi-objective function is used. The performance of the proposed PSO based PSS test system in damping power system oscillations is proved through eigenvalue analysis and time-domain simulations.

引用

页码：242 / 247

页数：6

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