@inproceedings{4a49f187ebda4e6bb436a65b0ebf0a33,
title = "A Simple Global Maximum Power Point Tracking Scheme With Region Segmentation for Partially Shaded PV Modules",
abstract = "To reduce the levelized cost of photovoltaic (PV) en-ergy, traditional global maximum power point tracking (GMPPT) schemes are more and more employing sophisticated scanning or artificial intelligence technologies to optimize energy harvesting under partial shading conditions (PSCs). This may affect the convergence speed and implementation simplicity. To address these issues, a simple GMPPT scheme is proposed with a region- dependent segmentation (RDS) strategy. With the proposed scheme, locating the global maximum power point (GMPP) is efficiently accelerated. Compared with the conventional methods, a redundant scanning process is avoided due to the use of a low- complexity estimation of the GMPP voltage. Thus, the dynamics under PSCs can be improved. Simulations and experimental tests are carried out to validate the effectiveness of the proposed scheme under diverse shading scenarios.",
keywords = "Estimation, Heuristic algorithms, Maximum power point trackers, Photovoltaic systems, Power electronics, Simulation, Voltage, photovoltaic generation, partial shading conditions, Global maximum power point tracking, region segmentation",
author = "Yinxiao Zhu and Yongheng Yang and Frede Blaabjerg and Runze Lv",
year = "2024",
month = jun,
day = "26",
doi = "10.1109/PEDG61800.2024.10667394",
language = "English",
isbn = "979-8-3503-6101-8",
series = "IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG) ",
pages = "1--6",
booktitle = "2024 IEEE 15th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)",
publisher = "IEEE (Institute of Electrical and Electronics Engineers)",
address = "United States",
note = "2024 IEEE 15th International Symposium on Power Electronics for Distributed Generation Systems (PEDG) ; Conference date: 23-06-2024 Through 26-06-2024",
}