AGC of Hydro-Thermal Power Systems Using Sine Cosine Optimization Algorithm

Abstract

This work presents new and efficient optimization technique known as the Sine Cosine Algorithm (SCA) is proposed for Automatic Generation Control (AGC) of multi area power systems. At first two areas single unit of hydro-thermal and four areas hydro-thermal power system are implemented by using MATLAB Simulink program. the gains of PID controller are optimized employing by (SCA) and Particle Swarm Optimization (PSO) with using a fitness function based on integral time Square error (ITSE). The superiority of the proposed (SCA) controller has been shown by comparing the results with (PSO) and conventional PID. Finally, simulation results validate the faculty and utility of the suggested (SCA) approach over the (PSO) algorithm and traditional ways to s to damp the transient deviations (frequency and power) and to provide zero steady-state error of these variables in a very short time.