Ant lion optimized hybrid-fuzzy-PID controller for frequency-voltage regulation in hybrid power system

Abstract

This paper proposes an optimal Hybrid Fuzzy PID plus PID controller for frequency and voltage regulation of the Hybrid power system (HPS) under numerous conditions. The controller s parameters are optimally tuned using Ant Lion Optimization (ALO). The suggested optimization outperforms recently published algorithms as the whale optimization algorithm (WOA), grey wolf optimization (GWO), and salp swarm algorithm (SSA). Comparing the results of the suggested controller to those of PI, PID, and Fuzzy PID (FuPID) for the same system with parameters tuned using Ant Lion Optimization (ALO) demonstrates the superiority of the suggested controller. Further, with a proposed controller optimized using ALO, the value of the ITAE, one of the performance measures, is reduced by 89.75%, 89.95%, and 85.52% compared with optimization of the suggested controller using GWO, SSA and WOA, respectively. The robustness of ALO optimised proposed controller is tested with a Parametric variation of }20%.The proposed optimised hybrid controller displays the best performance of all the controllers used here. MATLAB\Simulink was used to perform simulations and modelling.