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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.
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Zhu et al. (2024) studied this question.
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