PSO Based Predictive Nonlinear Automatic Generation Control

This paper presents a newly proposed Model Predictive (MPC) scheme featuring Particle Swarm Optimization (PSO) technique applied to nonlinear single area Automatic Generation Control (AGC). The proposed scheme formulates the MPC as an optimization problem and PSO is used to find its solution. Single area AGC model is used and it incorporates Generation Rate Constraint (GRC) nonlinearities and constraints on the control input. The simulations results show improvement over previous AGC methods reported in the literature and signify the strengths of the proposed MPC scheme. Furthermore, performance of controller is also explored for varying GRC values and power demands. Key–Words: Model Predictive Control, Particle Swarm Optimization, Automatic Generation Control, Load Frequency Control, Nonlinear Predictive Control, Optimization Problem.