A hybrid Particle Swarm Optimization and Bacterial Foraging for optimal Power System Stabilizers design

被引：92

作者：

Abd-Elazim, S. M. ^{[1
]}

Ali, E. S. ^{[1
]}

机构：

[1] Zagazig Univ, Fac Engn, Elect Power & Machine Dept, Zagazig 44519, Egypt

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2013年 / 46卷

关键词：

PSSs; Multimachine power system; Particle Swarm Optimization; Bacterial Foraging; Damping oscillations; Hybrid algorithm; H-INFINITY-OPTIMIZATION; COORDINATED DESIGN; ALGORITHM; PSSS; PLACEMENT; TCSC; PSO;

D O I：

10.1016/j.ijepes.2012.10.047

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel hybrid approach involving Particle Swarm Optimization (PSO) and Bacterial Foraging Optimization Algorithm (BFOA) called Bacterial Swarm Optimization (BSO) is illustrated for optimal Power System Stabilizers (PSSs) design in a multimachine power system. In BSO, the search directions of tumble behavior for each bacterium are oriented by the individual's best location and the global best location of PSO. The proposed hybrid algorithm has been extensively compared with the original BFOA algorithm and the PSO algorithm. Simulation results have shown the validity of the proposed BSO in tuning PSSs compared with BFOA and PSO. Moreover, the results are presented to demonstrate the effectiveness of the proposed controller to improve the power system stability over a wide range of loading conditions and various disturbances. 2012 (C) Elsevier Ltd. All rights reserved.

引用

页码：334 / 341

页数：8

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