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

Authors: HILAL LABDELAOUI, FARES BOUDJEMA, DJAMEL BOUKHETALA

Abstract: This work presents an optimal tuning approach of power system stabilizers (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

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