Ritika Arora, Vijay Kumar Tayal, Hemender Pal Singh, Sukhbir Singh
The conventional energy sources are depleting with rise in power demand day by day. The renewable energy sources may serve as promising solution towards present day energy crisis. They are pollution free, cheaper and abundantly available in nature. The frequently used wind and PV renewable energy sources are intermittent in nature. Due to uncertainties in wind speed, solar irradiation and loading conditions, there are large variations in peak overshoot, settling time and total harmonic distortion (THD) of output power. This paper describes dynamic modeling and PID control design for hybrid renewable energy system with wind, photovoltaic and fuel cell. The PID controller is used to obtain the constant AC output from the hybrid system integrated with grid. To yield the better output, the Grasshopper optimization algorithm (GOA) tuned the PID controller parameters. The simulation results of proposed hybrid system show a remarkable improvement in peak overshoot, settling time and total harmonic distortion (THD).
Hybrid energy system, renewable energy system, Grasshopper optimization technique, Dynamic modeling of hybrid system.
Cite this paper
Ritika Arora, Vijay Kumar Tayal, Hemender Pal Singh, Sukhbir Singh. (2021) PID Controller Design by Grasshopper Optimization Technique for Performance Enhancement of Hybrid Renewable Energy System. International Journal of Power Systems, 6, 67-85