Automatic reactive power control of isolated wind–diesel hybrid power system using artificial bee colony and gray wolf optimization

This paper investigates the artificial bee colony (ABC)- and gray wolf optimization (GWO)-based robust controllers in an isolated winddiesel hybrid power system (IWDHPS). The IWDHPS comprises a wind energy conversion system (WECS) and a diesel engine set. A permanent-magnet induction generator and a synchronous generator are used for power generation with WECS and diesel engine set, respectively. The voltage fluctuations at the generator terminal occur because of the mismatch between generated and consumed reactive power in the system, which further causes a reduction in the quality and stability of the power supply. An automatic voltage regulator (AVR) and a static synchronous compensator (STATCOM) are utilized to suppress these voltage fluctuations in the considered system. Both AVR and STATCOM are equipped with proportional integral (PI) controllers with a single input. The performance and robustness conditions of the control system are expressed as the optimization problem based on the H loop shaping. The ABC and GWO algorithms are applied to solve the optimization problem and to achieve the values of PI controllers for AVR and STATCOM simultaneously. The proposed controller performance is compared with the performance of the bacterial foraging optimization algorithm, particle swarm optimization algorithm, genetic algorithm, and conventional based controller, for the same IWDHPS.