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.
Power system stabilizer, optimal design, multiobjective optimization, speed-constrained multiobjective particle swarm optimization, multimachine power system
LABDELAOUI, HILAL; BOUDJEMA, FARES; and BOUKHETALA, DJAMEL
"A multiobjective tuning approach of power system stabilizers using particle swarm optimization,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 24:
5, Article 43.
Available at: https://journals.tubitak.gov.tr/elektrik/vol24/iss5/43