WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 8, 2013
Optimal PSS Design in a Multimachine Power System via Bacteria Foraging Optimization Algorithm
Authors: S. M. Abd-Elazim, E. S. Ali
Abstract: This paper proposes Bacteria Foraging Optimization Algorithm (BFOA) based power system stabilizer (PSS) for the suppression of oscillations in multimachine power system. The proposed design problem of PSS over a wide range of loading conditions 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 Genetic Algorithm (GA) to demonstrate the superior efficiency of the proposed BFOA in tuning PSS controller. Simultaneous tuning of the Bacteria Foraging based PSS (BFPSS) gives robust damping performance over wide range of operating conditions in compare to optimized PSS controller based on GA (GAPSS) and conventional PSS (CPSS).
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Keywords: Bacteria Foraging, Genetic Algorithm, Power System Stabilizer, Low Frequency Oscillations, Power System Stability, Multimachine System