Power System Stabilizers Design Using BAT Algorithm

Author:

Ali E. S.1

Affiliation:

1. Electrical Department, Faculty of Engineering, Jazan University, Jazan, KINGDOM OF SAUDI ARABIA

Abstract

A new metaheuristic method, the BAT algorithm based on the echolocation behaviour of bats is proposed in this paper for optimal design of Power System Stabilizers (PSSs) in a multimachine environment. The PSSs parameter tuning problem is converted to an optimization problem which is solved by the BAT search Algorithm. An eigenvalues based objective function involving the damping factor, and the damping ratio of the lightly damped electromechanical modes is considered for the PSSs design problem. The performance of the proposed BAT based PSSs (BATPSS) has been compared with Genetic Algorithm (GA) based PSSs (GAPSS) and the Conventional PSSs (CPSS) under various operating conditions and disturbances. The results of the proposed BATPSS are demonstrated through time domain analysis, eigenvalues and performance indices. Moreover, the results are presented to demonstrate the robustness of the proposed algorithm over the GA and conventional one.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Artificial Intelligence,General Mathematics,Control and Systems Engineering

Reference69 articles.

1. G. Rogers, “Power System Oscillations”, The Springer International Series in Engineering and Computer Science 2000.

2. K. R. Padiyar, “Power System Dynamics Stability and Control”, Second edition, BS Publications, Hyderabad, India, 2008.

3. J. Machowski, J. Bialek, and J. Bumby, “Power System Dynamics Stability and Control”, Second edition, Wiley, 2009.

4. X. F. Wang, Y. Song, M. Irving, “Modern Power Systems Analysis”, 2008, Springer.

5. Y. Zhang, G. P. Chen, O. P. Malik and G. S. Hope, “An Artificial Neural Network Based Adaptive Power System Stabilizer”, IEEE Transactions on Energy Conversion, Vol. 8, No. 1, 1993, pp. 71-77.

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