POWER SYSTEM STABILIZER DESIGN FOR MULTI-MACHINE POWER SYSTEM USING BAT SEARCH ALGORITHM

Year 2015, Volume: 33 Issue: 4, 627 - 637, 01.09.2015

Serdar Ekinci

Abstract

This paper proposes a new technique named BAT search algorithm to tune Power System Stabilizer (PSS) for the suppression of the low frequency oscillations in a multi-machine power system. The PSS parameter tuning problem is converted to an optimization problem with the time domain-based objective function and is solved by BAT search algorithm. The 3-generator and 9-bus power system has been used to validate the effectiveness of this tuning approach and the performance of the proposed BAT-based PSS (BATPSS) has been compared with Particle Swarm Optimization (PSO) based PSS (PSOPSS) under large disturbance. The nonlinear simulation results are represented to validate the effectiveness of the proposed BATPSS. In addition, the superiority of the proposed BATPSS over the PSOPSS is demonstrated.

Keywords

BAT search algorithm, multi-machine power system, power system stabilizer (PSS), power system stability

References

• [1] Abido, M.A., “Pole Placement Technique for PSS and TCSC based Stabilizer Design Using Simulated Annealing”, Electrical Power and Energy Systems, 22, 543-554, 2000.
• [2] Yu, Y.N., “Power System Dynamics”, Academic Press, London, 1981.
• [3] Larsen, E.V. and Swann, D.A., “Applying Power System Stabilizers”, IEEE Transactions on Power Apparatus and Systems, 100(6), 3017-3046, 1981.
• [4] Xianzhang, L., Lerch, E.N., Povh, D., “Optimization and Coordination of Damping Controls for Improving System Dynamic Performance”, IEEE Transactions on Power Systems, 16(3), 473-480, 2001.
• [5] Klein, M., Rogers, G.J., Kundur, P., “A Fundamental Study of Inter-area Oscillations in Power Systems”, IEEE Transactions on Power Systems, 6(3), 914-921, 1991.
• [6] Panda, S. ve Padhy, N.P., “Robust Power System Stabilizer Design Using Particle Swarm Optimization Technique”, International Journal of Electrical Systems Science and Engineering, 1(1), 1-8, 2008.
• [7] DeMello, F. and Concordia, C., “Concept of Synchronous Machine Stability as Affected by Excitation Control”, IEEE Transactions on Power Apparatus and Systems, 88, 316-329,1969.
• [8] Kundur, P., Klein, M., Rogers, G.J., “Application of Power System Stabilizer for Enhancement of Overall System Stability”, IEEE Trans. P.W.R.S., 4(2), 614-626,1989.
• [9] Gibbard, M.J., “Robust Design of Fixed Parameter Power System Stabilizers over a Wide Range of Operating Conditions”, IEEE Trans. P.W.R.S., 6(2), 794-800,1991.
• [10] Sambariya, D.K. and Prasad, R., “Robust tuning of power system stabilizer for small signal stability enhancement using metaheuristic bat algorithm”, International Journal of Electrical Power & Energy Systems, 61, 229-238,2014.
• [11] Ekinci, S. and Demiroren, A., “Modeling, simulation and optimal design of power system stabilizers using ABC algorithm”, Turk J Elec Eng & Comp Sci, DOI: 10.3906/elk-1311-208.
• [12] Yang, X.S., “A New Metaheuristic Bat-Inspired Algorithm”, Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), 284, 65-74, 2010.
• [13] Sauer, P.W. and Pai, M.A., “Power System Dynamics and Stability”, Prentice Hall,1998.
• [14] Hsu, Y.Y., Chen, C.L., “Identification of Optimum Location for Stabilizer Applications Using Participation Factors”, Generation, Transmission and Distribution, IEE Proceedings C , 134(3), 238-244,1987.
• [15] Kennedy, J., Ebenhart, R.C., Shi Y., “Swarm Intelligence”, Morgan Kaufmann Publishers, San Francisco, 2001.