A Jaya-Based Invasive Weed Optimization Technique for Load Frequency Control

摘要

The aim of this paper is to apply Invasive Weed Optimization (IWO), Jaya Algorithm (JA) and a proposed Jaya-based Invasive Weed Optimization (JIWO) technique to the tuning of proportional-integral-derivative (PID) controllers for load frequency control (LFC) and to determine which method is more appropriate. The Matlab/Simulink environment is used for the implementations and simulations. Taking into account performance measures, such as peak values, settling times and steady-state errors, as well as the optimality of the solutions and the convergence rates, the most suitable approach is selected. The results obtained show that all of the three optimization techniques are able to deliver improved responses over the uncompensated system. However, JIWO provides the best results, both in terms of convergence and optimality.