Performance Evaluation of MPPT using Modified PSO Algorithm for Battery Charge Application
Authors:
- 1 October 2018
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
Abstract
Solar panel is widely used as an alternative source to generate solar power plant. One of the ways to store solar panel power is by saving the power on a battery. Generally, the efficiency of solar panel is about 15% - 24.7%. It is quite small because the use of solar panel without control causes the power plant not maximum. In this paper, Modified Particle Swarm Optimization (Modified PSO) was proposed for MPPT control to optimize solar panel power. The algorithm of this method was used to increase efficiency of solar cell so that the power can reach maximum point. Furthermore, the power was used to optimize battery charging process. To verify the performance of Modified PSO algorithm, it was used SEPIC Converter as interfacing from solar panel to battery. Based on the experiment result on three shading patterns for 3 hours charging process, the increase of State of Charge (SOC) of the battery using Modified PSO algorithm was superior than uncontrolled and conventional method (Perturb and Observe).Keywords
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