Implementation Of Maximum Power Point Tracking Based On Perturb and Observe Algorithm For Photovoltaic, Wind Turbine, and Fuel Cell Hybrid System

Photovoltaic, wind turbine, and fuel cell can produce electrical energy by utilizing renewable energy. The energy is clean and unlimited. Photovoltaic (PV), wind turbine, and fuel cell hybrid system has high reliability and can produce more energy than the standalone PV system. MPPT (Maximum Power Point Tracking) is needed to maximize the input power by placing the input current and voltage at the maximum point on both voltage and current, so the power produced is also at the maximum point. But there is a problem of integrating method of the power generator since the constraint of the parallel generator operation should be have the same voltage level. In this paper, will be discussed about the P&O method, that can be used for various characteristics of PV and does not require information of wind turbine characteristics. As the results, Perturb and Observe (P&O) algorithm on multi-input DC/DC converter can maximize the output power up to 125,87% more power. Hopefully with this research, it can help the advancement of the renewable energy electricity generation research in the future.