Fuzzy based optimal load management in standalone hybrid solar PV/Wind/Fuel Cell generation system

Sustainable and eco-friendly nature of renewable energy resources render them the best alternatives to conventional fossil fuels. The project proposes analysis and study of Photovoltaic-Wind-Fuel Cell hybrid system for distributed generation system for a remote residential load. A fuzzy logic controller is designed to extract maximum power from both solar and wind energies, which deliver maximal power to a fixed voltage DC bus which then supplies the load, while the surplus power is fed to the electrolyzer which generates hydrogen for the fuel cells and the batteries. Simulation results prove the efficacy of the fuzzy logic controller and establish the fact that these renewable resources can be a viable solution to distributed production of electricity for standalone applications at inaccessible remote locations.

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