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15 March 2024 Recent advances in maximum power point tracking for energy harvest in solar photovoltaic systems
Ruixin Zhang
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Proceedings Volume 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023); 130752J (2024) https://doi.org/10.1117/12.3026863
Event: Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 2023, Kunming, China
Abstract
With the escalating energy crisis, there has been rapid development in the utilization of solar energy and photovoltaic power generation technologies. The enhancement of photovoltaic system efficiency has become the primary driving force for solar energy development. However, Because of the effects of sunlight and temperature magnitude on the environment, the generation of electricity using photovoltaic (PV) modules is highly stochastic. To optimize the photoelectric converting capacity of PV electricity production systems and make better solar energy utilization, it is of great practical significance to implement Maximum Power Point Tracking (MPPT) for PV cells. Accurately and rapidly tracking the maximum power point is crucial for the operation of PV power generation systems. Therefore, this paper, based on MPPT, focuses on analyzing the MPPT methods in the case of a single peak, including constant voltage tracking, incremental conductance method, perturbation observation method, fuzzy control method, etc., and analyzing their advantages and disadvantages. It also looks forward to control algorithms under partial shading conditions and future development trends.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Ruixin Zhang "Recent advances in maximum power point tracking for energy harvest in solar photovoltaic systems", Proc. SPIE 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 130752J (15 March 2024); https://doi.org/10.1117/12.3026863
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KEYWORDS
Photovoltaics
Solar energy
Solar cells
Detection and tracking algorithms
Control systems
Evolutionary algorithms
Fuzzy logic
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