Adaptive PI-GA Based Technique for Automatic Generation Control with Renewable Energy Integration

To enhance the reliability of the power system, conventional power grid requires a robust automatic generation control system to maintain the balance between generation and demand. However, high penetration of renewable energy such as photovoltaic and wind energy to the power grid requires a flexible control technique to maintain the stability of the power system. This paper presents an adaptive proportional-integral (PI) based genetic algorithm (GA) controller for a two-area non-reheat thermal plant coupled with renewable energy sources (RES). The test system is simulated in a MATLAB/Simulink environment. Test results of the proposed technique shows an improved performance with zero frequency deviation and less settling time after a load disturbance. PI based particle swarm optimization control is used as a benchmark.