Modeling and Simulation of MPPT SEPIC-BOOST Using Modified Particle Swarm Optimization (MPSO)-FLC Under Dynamic Partial Shading Condition in DC Microgrid System

PV system (Photovoltaic) is a system that many discussed and researched by researchers in the world. Unfortunately, when converting solar energy into electrical energy, the Maximum Power Point Tracking (MPPT) is required to obtain maximum power output in PV. In addition, the problems that occur are when the PV is partially shaded resulting in the emergence of Local Maximum Power Point (LMPP) and Global Maximum Power Point (GMPP). The last problem is when the power of PV is maximized, the voltage changes rapidly at the output of the converter while the voltage required to enter the DC bus is a constant and stable voltage. Therefore, this paper proposes the modeling and simulation of MPPT-SEPIC converter using modified PSO series constant voltage Boost converter using FLC (Fuzzy Logic Controller) under dynamic partial shading condition in DC microgrid system. MPSO algorithm is used to maximize power on PV accurately through Single Ended Primary Inductance converter (SEPIC), while FLC is used to make the voltage to DC bus becomes constant and stable through Boost converter.