Maximum Power Point Tracking of Photovoltaic Module for Battery Charging Based on Modified Particle Swarm Optimization

Endro Wahjono; Dimas Okky Anggriawan; Epyk Sunarno; Syechu Dwitya Nugraha; Anang Tjahjono

doi:10.15866/iremos.v10i1.11174

Maximum Power Point Tracking of Photovoltaic Module for Battery Charging Based on Modified Particle Swarm Optimization

Endro Wahjono⁽¹⁾, Dimas Okky Anggriawan⁽²⁾, Epyk Sunarno^(3*), Syechu Dwitya Nugraha⁽⁴⁾, Anang Tjahjono⁽⁵⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/iremos.v10i1.11174

Abstract

The Photovoltaic (PV) Module has an important role as a source of renewable energy because it has low maintenance and environmental friendliness. The problem of the PV module is low efficiency. Therefore, this research focus is on the maximization of the PV module. Obtaining the maximum power point (MPP) requires maximum power point tracking (MPPT) methods. In this paper, the modified particle swarm optimization (MPSO) is used to track the MPP. The standard of PSO is modified by updating the inertia weight to obtain faster convergence. A Boost converter is connected between the PV module and the battery. MPPT is used for battery charging to improve energy transfer efficiency. In the simulation results, MPSO is compared with PSO and P&O to evaluate the performance of MPSO. The results demonstrate that MPSO can increase tracking speed to achieve the MPP.
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Keywords

PV Module; MPPT; Particle Swarm Optimization; Modified Particle Swarm Optimization; Battery Charging

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