CRAYFISH OPTIMIZATION BASED PID CONTROLLER DESIGN FOR LOAD FREQUENCY CONTROL IN INTERCONNECTED POWER SYSTEMS

Abstract

This study explores the utilization of the Crayfish Optimization Algorithm (COA) to develop a PID controller aimed at stabilizing frequencies in two-area interconnected power systems. Inspired by crayfish’s summer resort behaviour, competition behaviour and foraging behaviour, the proposed work aims to enhance frequency stability amidst varying operational conditions. Through extensive simulations conducted in MATLAB, performance of the proposed design is evaluated and compared with other meta heuristic approaches. Results demonstrate the efficacy and robustness of the COA-based approach, particularly in scenarios involving step load changes, random load fluctuations, and nonlinearities such as governor rate constraint (GRC) and governor deadband (GDB). The controller adeptly minimizes frequency variations, guaranteeing the steady and dependable functioning of the interconnected power system. Furthermore, comparative analyses highlight the superiority of the COA-based PID controller over other metaheuristic approaches. This study provides significant insights into the utilization of COA for power system control applications, paving the way for enhanced stability and efficiency in modern power grids.