Power System Stabilizer based on Model Predictive Control

Abstract

A model predictive power system stabilizer is proposed in this paper to damp power oscillations in an electric power system (EPS). The design of the stabilizer is optimal in the sense that its parameters are determined by using off-line particle swarm optimization (PSO) technique. The proposed methodology is applied to an EPS composed by a single machine connected to an infinite bus (SMIB). The analysis is performed through a small signal stability analysis, deriving incremental equations linearized around an operating point. The results obtained by the proposed method are compared with a conventional power system stabilizer, also optimized by PSO. Through numerous computer simulations under different operating conditions and perturbations on the SMIB, it was possible to establish some advantages of the proposed technique as compared with the conventional technique.

Keywords

• Sistemas eléctricos y electrónicos de potencia
• Estabilizador de sistemas de potencia (PSS)
• Estabilizador predictivo de sistemas de potencia (PPSS)
• Control predictivo basado en modelo (MPC)
• Optimización por enjambre de partículas (PSO)
• Simulación