Research Article
Research on MPPT Control of Photovoltaic Cells Based on Fuzzy Control
@INPROCEEDINGS{10.4108/eai.6-6-2021.2307606, author={Fengshan Liu and Yanpin Wang}, title={Research on MPPT Control of Photovoltaic Cells Based on Fuzzy Control}, proceedings={Proceedings of the 8th EAI International Conference on Green Energy and Networking, GreeNets 2021, June 6-7, 2021, Dalian, People’s Republic of China}, publisher={EAI}, proceedings_a={GREENETS}, year={2021}, month={8}, keywords={photovoltaic cells mppt fuzzy logic control perturbation and observation}, doi={10.4108/eai.6-6-2021.2307606} }- Fengshan Liu
Yanpin Wang
Year: 2021
Research on MPPT Control of Photovoltaic Cells Based on Fuzzy Control
GREENETS
EAI
DOI: 10.4108/eai.6-6-2021.2307606
Abstract
Changes in factors such as light intensity and temperature can cause fluctuations in the power of photovoltaic cells. To solve this problem, this paper proposes a maximum power point tracking strategy (MPPT) based on fuzzy control. According to the fuzzy control algorithm, this paper determines the membership function and fuzzy rules, builds a fuzzy controller, sets up a photovoltaic system, and performs simulation verification in MATLAB/Simulink. The results show that, in terms of tracking speed, compared with the commonly used Perturbation and Observation method, the fuzzy control is improved by five times faster, and the method also has better smoothness and anti-interference.
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