Design of a supplementary controller for power system stabilizer using bacterial foraging optimization algorithm

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Abstract

Power system stabilizers (PSSs) are the most efficient device to damp the power system oscillation. Recently designing of PSSs by heuristic algorithms is the conventional method for damping the power system oscillation. This work proposes a Bacterial Foraging Optimization algorithm (BFOA) to determine the PSS parameters to damp the power system inter area oscillation. The results are presented on a 2 area 4 machine system to feasibility of the proposed method. To show the effectiveness of the designed controller, a three phase fault is applied at a bus. The simulation results show that the designed controller by BFOA algorithm performs better than well known genetic algorithm (GA) in damping the power oscillation. © 2011 Springer-Verlag.

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Kiani, M., Soloklo, H. N., Mohammadi, M. A., & Farsangi, M. M. (2011). Design of a supplementary controller for power system stabilizer using bacterial foraging optimization algorithm. In Communications in Computer and Information Science (Vol. 250 CCIS, pp. 405–410). https://doi.org/10.1007/978-3-642-25734-6_63

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