Paper
12 December 2024 Maximum power point tracking (MPPT) techniques in distributed photovoltaic generation systems
Dianjia Jiang, Mingbiao Yu, Zhengwei Dou
Author Affiliations +
Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 134391P (2024) https://doi.org/10.1117/12.3055616
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China
Abstract
This paper explores various Maximum Power Point Tracking (MPPT) techniques in photovoltaic systems, focusing on their efficiency under different environmental conditions. Traditional methods like Perturb and Observe (P&O) and Incremental Conductance (IncCond) are compared with advanced fuzzy logic controls. Enhanced by fuzzy logic, the improved MPPT technique demonstrates superior adaptability and reduced oscillations near the Maximum Power Point, leading to increased overall energy output and system reliability. Experimental validations confirm significant enhancements in response times and stability, marking a step forward in optimizing photovoltaic energy systems.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Dianjia Jiang, Mingbiao Yu, and Zhengwei Dou "Maximum power point tracking (MPPT) techniques in distributed photovoltaic generation systems", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 134391P (12 December 2024); https://doi.org/10.1117/12.3055616
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KEYWORDS
Photovoltaics

Control systems

Fuzzy logic

Solar cells

Distributed computing

Reliability

Clouds

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