Active power management in wind/solar farm integrated hybrid power system with AI based 3DOF-FOPID approach

Abstract

ABSTRACT The uncertain nature of renewable sources and load demand makes modern power systems highly complex and causes the active power imbalance and frequency fluctuations. Intelligent controllers are to be designed for active power management to keep frequency steady and nominal under any uncertainty. Therefore, this article proposes a robust fractional ordered three-degree of freedom PID (3DOF-FOPID) controller for active power management of a wind/solar farm-integrated hybrid power system under various disturbances. The optimum parameters of the suggested 3DOF-FOPID controller are selected with employing a novel artificial intelligence (AI) technique-based modified-cuckoo search algorithm (M-CSA) under various operating. The performance of the suggested 3DOF-FOPID controller over 3DOF-PID and PID controller has been investigated in a common power system model and technique. The suggested 3DOF-FOPID controller offers more flexibility and controllability over other controllers in response to frequency regulation of hybrid power system. It is revealed from outcomes that under common M-CSA technique, the percentage improvement in settling time of deviation in area-one frequency (ΔF1 ) with 3DOF-FOPID controller over 3DOF and PID are 122.4% and 328.6% respectively. Finally, it is verified that proposed 3DOF-FOPID approach is an efficient tool to regulate frequency of the hybrid power system under any operating situations.