<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Recently, honey bee mating optimization (HBMO) technique and genetic algorithms (GA) have attracted considerable attention among various modern heuristic optimization techniques. This paper presents the application and performance comparison of HBMO and GA optimization techniques, for coordinated design of STATCOM and PSS. The design objective is to enhance damping of the low frequency oscillations. The design problem of the controller is formulated as an optimization problem and both HBMO and GA optimization techniques are employed to search for optimal controller parameters. The performance of both optimization techniques for damping low frequency oscillations are tested and demonstrated through nonlinear time-domain simulation and some performance indices studies to different disturbances over a wide range of loading conditions. The results show that the designed controller by HBMO performs better than GA in finding the solution. Moreover, the system performance analysis under different operating conditions show that the φ based controller is superior to the C based controller.</p></abstract>

Recently, honey bee mating optimization (HBMO) technique and genetic algorithms (GA) have attracted considerable attention among various modern heuristic optimization techniques. This paper presents the application and performance comparison of HBMO and GA optimization techniques, for coordinated design of STATCOM and PSS. The design objective is to enhance damping of the low frequency oscillations. The design problem of the controller is formulated as an optimization problem and both HBMO and GA optimization techniques are employed to search for optimal controller parameters. The performance of both optimization techniques for damping low frequency oscillations are tested and demonstrated through nonlinear time-domain simulation and some performance indices studies to different disturbances over a wide range of loading conditions. The results show that the designed controller by HBMO performs better than GA in finding the solution. Moreover, the system performance analysis under different operating conditions show that the φ based controller is superior to the C based controller.

Comparison of Honey Bee Mating Optimization and Genetic Algorithm for Coordinated Design of Pss and Statcom Based on Damping of Power System Oscillation

Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran

Electrical Engineering Department of K.N. Toosi University of Technology, Tehran, Iran

Journal of Electrical Engineering

Recently, honey bee mating optimization (HBMO) technique and genetic algorithms (GA) have attracted considerable attention among various modern heuristic...

Comparison of Honey Bee Mating Optimization and Genetic Algorithm for Coordinated Design of Pss and Statcom Based on Damping of Power System Oscillation

Pubblicato online: 08 giu 2013

Pagine: 133 - 142

DOI: https://doi.org/10.2478/jee-2013-0020

Parole chiave
STATCOM, honey bee mating optimization, genetic algorithm, damping controller, low frequency oscillations

This content is open access.

Comparison of Honey Bee Mating Optimization and Genetic Algorithm for Coordinated Design of Pss and Statcom Based on Damping of Power System Oscillation

Pubblicato online: 08 giu 2013

Pagine: 133 - 142

DOI: https://doi.org/10.2478/jee-2013-0020

Parole chiaveSTATCOM, honey bee mating optimization, genetic algorithm, damping controller, low frequency oscillations

This content is open access.

Parole chiave
STATCOM, honey bee mating optimization, genetic algorithm, damping controller, low frequency oscillations