Lion Optimization Algorithm for Load Frequency Control of Multi-Area Interconnected Power Systems with FACTS

Abstract

This work introduces the Lion Optimization Algorithm, a novel nature-inspired metaheuristic algorithm designed for complex optimization problems. Motivated by the unique social behaviors and cooperative hunting strategies of lions, LOA offers a population-based approach. The algorithm's effectiveness is demonstrated through its application to a three-area interconnected power system. This chapter presents a new design of load frequency controller for deregulated power systems with FACTS devices using Ant Lion Optimization algorithm. These FACTS devices are capable of controlling the network condition in a very fast manner and because of this reason, the usage of FACTS devices are more apt to improve the stability of power system. TCPS is a device that injects a variable series voltage to affect the power flow by modifying the phase angle. To stabilize the frequency oscillations, impacts of Thyristor Controlled Phase Shifter located in series with tie-line have been investigated. A time-domain objective function, optimized using LOA, tunes the parameters of a PI controller for Load Frequency Control. Simulation results across various loading conditions reveal that LOA-based controllers achieve superior performance compared to conventional PI controllers, particularly in settling times and other relevant performance indices.