Design and Implementation of MPPT Fuzzy Logic Controller for Inverter Connected to Water Pump

At present, renewable energy sources such as Photovoltaic (PV) are prevalent because the energy sources are unlimited and free of emissions. One example of its application is as a supply for water pumps. In this application, the value of the power produced by solar cells is very influential, because of the more optimal the power generated by solar cells, the more optimal the water that can be pumped by this water pump. However, PV is a non-linear energy source whose output power changes depending on irradiance and ambient temperature. Therefore we need a method to optimize the power released by the PV. This method is called MPPT (Maximum Power Point Tracking). Using MPPT with conventional algorithms such as Perturb and Observe (P&O) has a slow response and oscillations when in maximum power. In this study, an MPPT will be designed with the Fuzzy Logic Controller (FLC) algorithm to accelerate the system's response to load changes and reduce oscillations that occur when maximum power is available. From the results of research that has been done so as to get the MPPT FLC energy efficiency results with irradiation changes of 98.9% (simulation) or 97.62% (implementation) and load changes of 98.8% (simulation) or 96.51% (application). The use of MPPT FLC, when connected to a Water Pump, has an average total water flow more than without MPPT with a ratio of 1.58: 1 so that the use of MPPT with the FLC algorithm produces better response and energy efficiency.