Frequency control analysis with PID‐fuzzy‐PID hybrid controller tuned by modified GWO technique

Abstract

Optimal PID-fuzzy-PID hybrid controller (PID-FPID) has been presented here for load frequency control (LFC) analysis in a two-area interconnected system. The optimum parameters of this suggested PID-FPID hybrid controller are achieved using modified grey wolf optimization (MGWO) algorithm. Initially, the investigation is performed on a reheat turbine-based two-area unified system. The effectiveness of the recommended controller is proved (a) by altering the size and location of step load perturbation (SLP), (b) by modifying the system constraints, and (c) by inserting a random loading in the system. The dominance of the employed controller is recognized by relating the results with pre-published outcomes such as Differential evolution-Particle swarm optimization (DEPSO) tuned fuzzy-PID controller and artificial bee colony optimization (ABC) tuned PID controller. Lastly, the analysis is prolonged by implementing the recommended control method in a hybrid-source power system to exhibit the flexibility of the suggested method in a hybrid power system.