Fractional-Order PID Controller Design Optimization for Load Frequency Control via Flower Pollination Algorithm

Abstract

This paper presents a design of an optimal fractional-order PID (FOPID) controller for the load frequency control (LFC) in power systems. Based on the modern optimization, the flower pollination algorithm (FPA) is utilized by searching for the appropriate values of the FOPID parameters for the given LFC in the single area power system. To perform its effectiveness, the FOPID controllers optimized by the FPA are tested against three different turbines in power systems, i.e. non-reheated, reheated and hydro turbines. Results obtained by the FOPID will be compared with those obtained by the conventional integer-order PID (IOPID) controller. As results, it was found that both IOPID and FOPID controllers designed by the FPA can improve the damping of the power system responses. However, the FOPID controller shows superior results to the IOPID by giving very satisfactory responses with less damping and faster recovering for all cases.