Applying the BOA metaheuristic optimization algorithm in the design of robust PSSs for multimachine power systems.
DOI:
https://doi.org/10.21640/ns.v8i17.382Keywords:
Power system stabilizer, bat optimization algorithm, power system stability, multimachine system.Abstract
A Bat Optimization Algorithm (BOA) based tuning approach for the robust design of power system stabilizers (PSSs) in multimachine systems is presented in this paper. In order to successfully damp overall power system electromechanical oscillations, an optimal and coordinated set of PSS parameters is determined with the proposed alternative by minimizing a cost function directly computed from nonlinear time domain simulations. The effectiveness and robustness of the proposed PSSs (BOAPSSs) are proved through the simulation of a multimachine power system under different operating conditions and disturbances. Performance of BOAPSSs is compared with conventionally designed PSSs (CPSSs), Genetic Algorithm based PSSs (GAPSSs) and Particle Swarm Optimization based PSSs (PSOPSSs). Obtained results show the superior performance of the proposed BOAPSSs over CPSSs. As compared to the GAPSSs and PSOPSSs in the study, the improved system dynamic behavior with BOAPSS is also verified.
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