A multiobjective tuning approach of power system stabilizers using particle swarm optimization

Authors : HILAL LABDELAOUI, Fares BOUDJEMA, Djamel BOUKHETALA

Pages : 3898-3909

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Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :This work presents an optimal tuning approach of power system stabilizers insert ignore into journalissuearticles values(PSSs); using multiobjective particle swarm optimization. Two types of PSSs are investigated, the conventional speed-based PSS type and a dual-input PSS type that uses the accelerating power as an additional input. The tuning problem of these PSSs is formulated as a minimization problem of a vector objective function characterizing the damping and the transient performance of the closed-loop system. A 3-machine 9-bus power system example is considered, and the speed-constrained multiobjective particle swarm optimization algorithm is used to solve the optimization problem. The results show that trade-offs exist between the 2 objective functions of the problem, and that the best trade-off is obtained with the dual-input PSS. The performance of the resulting PSSs is illustrated through numerical simulations considering different scenarios.
Keywords : Power system stabilizer, optimal design, multiobjective optimization, speed constrained multiobjective particle swarm optimization, multimachine power system