The electrical energy has been dependent on fossil fuels, but the availability of fossil energy is running low with increasing electricity demand in society. Therefore a lot of research is done on renewable energy sources, one of which is solar energy. Solar energy can be applied to home scale DC microgrid systems. In the DC microgrid system the independent source of energy for the supply of loads comes from two sources, namely DC bus and 120 volt battery. To combine these two energy sources, a bidirectional converter is needed which will regulate power flow and electricity storage. In this system the battery can become a burden and can be a source of energy in the same series. Bidirectional converters can work in two directions, namely charging mode and discharging mode. The type of converter used in this bidirectional converter is SEPIC/ZETA Converter. The use of this type of converter is expected to reduce the ripple at the output voltage and minimize voltage disturbances during switching. The control method used is a fuzzy logic controller for voltage control which is expected to produce stable output.
Abstract. This paper presents details of design and implementation of Maximum Power Point Tracking (MPPT) SEPIC Converter to maximize Photovoltaic (PV) power output. Perturb and observe (P & O) algorithm has been used as a tracking technique to determine MPPT. This algorithm are simple and efficient to determine the maximum power point (MPP). The soft-switching method will be added to the implementation of MPPT SEPIC Converter to reduce switching losses. The results show that the proposed MPPT method implementation can increase the output power of PV.
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