Salp Swarm Algorithm tuned control scheme for mitigating frequency deviations in hybrid power system and comparative analysis

Abstract

In this paper, a salp swarm algorithm (SSA) tuned fractional order fuzzy proportional integral derivative (FOFPID) control scheme is designed and implemented for mitigation of frequency deviations under varying operating conditions in a hybrid power system (HPS) due to load variations and variable power output of renewable energy sources (RESs). The essence of the paper is in the use of SSA for optimal tuning of the controller. The performance of SSA tuned FOFPID controller is compared against other controllers, tuned using SSA. The supremacy of SSA is also established against the other four evolutionary optimization algorithms. The novel control scheme is evaluated with and without different energy storage systems (ESSs) and diesel engine generator (DEG) besides parametric variations of one of the ESSs. The results are indicative of the proposed control scheme being very efficient and effective. MATLAB® is the platform used for running the simulations.