Energy Efficient Perturb and Observe Maximum Power Point Algorithm with Moving Average Filter for Photovoltaic Systems
International Journal of Renewable Energy Research, Vol.9, No.1, March, 2019
8 Pages Posted: 13 Jun 2019
Date Written: March 2019
Utilization of renewable energy resources is gaining more importance due to improved rate of returns on investment and the technology. Solar energy is the main resource at present to receive wide spread acceptance due to the maturity of the technology among all renewable energy resources. The power production from the solar source largely depends upon the irradiance and the temperature and hence requires complex control strategies for better utilization of energy. Many researchers have been working on improving the solar power extraction by way of maximum power point tracking and other means. This paper presents the modified Perturb and Observe (P&O) algorithm with Moving Average Filter (MAF) to extract the maximum power from the solar for photovoltaic systems. The paper also presents a buck converter controlled by the modified algorithm to charge the battery of a photovoltaic system. The proposed system is simulated and implemented in hardware. The simulation and experimental results show a good performance of the modified algorithm and its suitability for photovoltaic applications.
Keywords: Renewable Energy, Solar, MPPT, Irradiation, Algorithm, MAF, P & O
JEL Classification: Q40, Q20, Q42
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