Quantum-PSO based system stabilizer optimization for shipboard power system

A quantum particle swarm optimization (QPSO) method for the shipboard power system stabilizer optimal is proposed in this paper. The proposed optimized strategy is inspired by trajectory analysis of the particle swarm optimization and quantum mechanics, and aims at enhancing global search capability. The attractive features of particle swarm optimization are its algorithm simplicity, fast convergence and can avoid the optimization jump into local optimal solution. The simulations are conducted under load change disturbance and short-circuit fault cases for the shipboard power system stabilizer optimization. Simulation results show that the quantum particle swarm optimization strategy can achieve success in shipboard power system dynamic control which indicates the effectiveness, feasibility and robustness of the proposed approach.