Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
International Journal of Electrical and Power Engineering
Year: 2011  |  Volume: 5  |  Issue: 2  |  Page No.: 116 - 124

SVC Damping Controller Design Based on Bacteria Foraging Optimization Algorithm for a Multimachine Power System

E.S. Ali and S.M. Abd-Elazim    

Abstract: Social foraging behavior of Escherichia coli bacteria has recently been explored to develop a novel algorithm for distributed optimization and control. The Bacterial Foraging Optimization Algorithm (BFOA) as it is called now is currently gaining popularity in the community of researchers for its effectiveness in solving certain difficult real world optimization problems. This study proposes BFOA based Static Var Compensator (SVC) for the suppression of oscillations in power system. The proposed design problem of SVC over a wide range of loading conditions and different disturbances is formulated as an optimization problem. BFOA is employed to search for optimal controller parameters by minimizing the time domain objective function. The performance of the proposed technique has been evaluated with the performance of the conventional controller tuned by Ziegler-Nichols (ZN) and Genetic Algorithm (GA) in order to demonstrate the superior efficiency of the proposed BFOA in tuning SVC controller. Simulation results emphasis on the better performance of the optimized SVC controller based on BFOA in compare to optimized SVC controller based on GA and conventional one over wide range of operating conditions.

Fulltext    |   Related Articles   |   Back
   
 
 
 
  Related Articles

 
 
 
 
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility