Load frequency control based on an improved Chimp optimization algorithm using adaptive weight strategy

Abstract

Purpose

This study aims to implement an improved version of the Chimp algorithm (IChimp) for load frequency control (LFC) of power system.

Design/methodology/approach

This work was adopted by IChimp to optimize proportional integral derivative (PID) controller parameters used for the LFC of a two area interconnected thermal system.

Findings

The supremacy of proposed IChimp tuned PID controller over Chimp optimization, direct synthesis-based PID controller, internal model controller tuned PID controller and recent algorithm based PID controller was demonstrated.

Originality/value

IChimp has good convergence and better search ability. The IChimp optimized PID controller is the proposed controlling method, which ensured better performance in terms of converging behaviour, optimizing controller gains and steady-state response.

Citation

K., R., P., S. and M., M. (2022), "Load frequency control based on an improved Chimp optimization algorithm using adaptive weight strategy", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 41 No. 5, pp. 1618-1648. https://doi.org/10.1108/COMPEL-07-2021-0231