Seeker Optimization Algorithm based Load Frequency Control of Interconnected Power Systems

Abstract

paper, a Seeker Optimization Algorithm (SOA) based optimal proportional-plus-integral (PI) controller is designed for Load Frequency Control (LFC) of two area interconnected thermal power systems. Swarm intelligence algorithms have been successfully applied to solve optimization problems, Seeker optimization algorithm is one of the latest members of that class. Seeker optimization algorithm (SOA) is based on simulating the act of human searching, which has been shown to be a promising candidate among search algorithms for function optimization. The effectiveness of the proposed scheme is confirmed via extensive study using MATLAB/SIMULINK software. Simulation results are carried out by introducing 1% load disturbance in any one area of an interconnected power system. Comparison of performance responses of conventional Proportional-Integral (PI) controller with Proportional-Integral controller using Seeker Optimization Algorithm show that the Seeker Optimization Algorithm tuned controller has better dynamic response in the presence of system disturbances. to the power systems and variable operating conditions, the conventional methods for tuning of PI controller may be unsuitable. Many different control strategies have been suggested in literature based on intelligent/soft computing techniques (3). Seeker Optimization Algorithm is based on human understanding and searching capability for finding an optimum solution. In the SOA, optimum solution is regarded as one which is searched out by a seeker population. The underlying concept of the Seeker Optimization Algorithm is very easy to model and relatively easier than other optimization techniques. In this study, Seeker Optimization algorithm is used to optimize the parameters of optimal PI controller gains.