Modeling and simulation of MPPT sepie converter using modified PSO to overcome partial shading impact on DC microgrid system

Abstract

Solar energy source can be utilized into electric energy using Photovoltaic (PV) panel. Maximum power in PV can be obtained in sunny weather conditions, optimum temperature, and unshaded surface. When PV is blocked by an object, the resulting power will decrease depending on the size of the barrier. Barriers of the sun intensity are shadows of trees, buildings, peoples, and others. These conditions cause PV can't absorb the maximum intensity of sunlight. Unfortunately, an obstructed PV surface condition may affect the resulting characteristic curves. These conditions can produce different characteristic curves. The difference is the position of the maximum power point that should be only one that is GMPP (Global Maximum Power Point) but this is divided into two there are GMPP and LMPP (Local Maximum Power Point). These conditions make a simple MPPT trapped in LMPP or an unreal maximum power point. To solve this problem, in this paper proposed MPPT Partial Shading using Modified Particle Swarm Optimization (MPSO) method. The MPSO method is chosen to solve partial shading conditions so the MPPT can reach GMPP without being trapped in LMPP. The MPSO method is applied to the Sepic converter to generate maximum power. According to simulation result, the MPSO method has a good accuracy greater than 95% and a fast time convergence is about 0.5 until 1 second to obtain a MPP depend on the shading pattern.