Model predictive controller based load frequency control of isolated microgrid system integrated to plugged-in electric vehicle

This paper introduces a model predictive controller for load frequency control of an isolated ac microgrid system, clustered with the wind system, solar system, and plugged in an electric vehicle. The model predictive controller is an active model-based control which predicts a signal for future control action based on past, present, and future variable of the system. The present study involves a model predictive controller for microgrid load frequency control in the presence of an electric vehicle as a maiden work. The controlled structure formed on the basics of minimization of controller error. The robustness of the controller is tested under a different type of source power fluctuation, load power fluctuation, and simultaneous source and load fluctuation. The predominance of the projected approach is related to conventional GA tuned PID and PI controller. The pragmatic picture of the efficiency of this work is shown by testing it against sinusoidal load perturbation.