Model predictive power stabilizer optimized by PSO

An electric power system (EPS) often exhibits low frequency electromechanical oscillations due to insufficient damping caused by adverse operating conditions. In this paper, a model predictive power stabilizer (MPPS) is proposed to improve the oscillations in a single machine infinite bus (SMIB) power system. This approach is part of a small signal stability analysis that uses equations in incremental form around an operating point. The MPPS provides the optimal control inputs and design parameters were optimized using particle swarm optimization (PSO). A conventional power system stabilizer (CPSS), with parameters also optimized with PSO, was used for comparison. A large number of dynamic system responses for different values of power and system parameters have been used to validate our proposals.