Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control Method

The functioning of a solar hybrid power system is investigated in this research using unique fuzzy control method. Turbines, photovoltaics, diesel engines, fuel cells, aqua-electrolyzes, and other autonomous generation products are used the renewable energy system. Further storage components include batteries, turbine, ultracapacitor. This incorporates supercapacitor (HESS) into generating system, allowing consumption space output to be significantly increased. study’s approach decentralized with HESS while increasing electrical phases utilizing dynamic reactive compensation scheme conductance-fuzzy dual-mode strategy. Due nonlinear behavior photovoltaic (PV) devices’ output, maximum point tracking (MPPT) methods must create greatest power. Infrequently developing atmospheric circumstances, traditional MPPT algorithms do not work adequately. Modeling determine microgrid’s organization, as well optimization method for each device network. factor correction also primarily study optimize