Modeling and Simulation of MPPT Coupled Inductor Sepic Converter using Flower Pollination Algorithm (FPA) Method in DC Microgrid System

摘要

Output of PhotoVoltaic (PV) under dynamic weather conditions can be maximize with tracking system. Tracking system that used in this research is static tracking using MPPT technique (Maximum Power Point Tracking). MPPT is system that help to maximize the output power of solar PV using changes of duty cycle switching in the converter into the correct value. There are so many MPPT method and it can be divided into 2 methods that is conventional method and artificial intelligence method. The most commonly use is conventional method because this method is very simple in implementation but still has weakness that is slow response and the output voltage always oscillating around MPP. Hence, in this paper, an artificial intelligence method Flower Pollination Algorithm (FPA) is proposed. This method has advantages compare to the conventional method that are faster in achieving maximum power, less oscillation around MPP and great tracking efficiency. The uses of dc-dc converter in MPPT always make the presence of ripple content in input current, so to avoid this ripple content current, a Coupled Inductor SEPIC converter is proposed here. Moreover, the efficiency of the converter is improved by using coupled inductor. So, in this research will propose FPA as search optimization method using coupled inductor SEPIC converter with the maximum efficiency 99.99%.