Optimization of Load Frequency Control for Non-linear System

The aim of this paper is to apply three optimization techniques, namely Genetic Algorithm (GA), Cultural Algorithm (CA) and Jaya-based Invasive Weed Optimization (JIWO), to the tuning of proportional-integral-derivative (PID) controllers for the load frequency control (LFC) of a non-linear two-area system, in which the frequency is to be kept uniform and tie-line power deviations are to be mitigated. The Matlab/Simulink environment is used for the implementations and simulations. The results obtained show that, while all three optimization techniques improve the responses relative to the uncompensated system, JIWO gives the best results in terms of convergence and optimality.