LOAD FREQUENCY CONTROL USING OPTIMIZED CONTROL TECHNIQUES

This paper considers the problem of load frequency control using optimized controllers. Determining the proportional-integral-derivative (PID) controller gains of a single and two area load frequency control (LFC) system using genetic algorithm (GA), Grey Wolf Optimizer (GWO) and Particle swarm optimization (PSO) is presented. The LFC is notoriously difficult to control optimally using conventionally tuning a PID controller due to the system parameters are constantly changing. Therefore the GA,GWO and PSO as tuning strategy were applied. The simulation has been conducted in MATLAB Simulink package for single and two area power system. The simulation results shows the effectiveness of implementing GA, PSO, and GWO based PID controller in damping the oscillations very fast with better control quality. The results obtained are promising and show the satisfactory performance of optimization based controllers in achieving load frequency control performance. The optimized techniques were applied for single area as well as two area system.