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ردیابی نقطه حداکثر توان (MPPT) یک سیستم فتوولتائیک متصل به ریزشبکه تحت شرایط عدم قطعیت با استفاده از الگوریتم جستجوی گرانشی (GSA) | ||
| مجله مهندسی برق دانشگاه تبریز | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 14 آبان 1404 | ||
| نوع مقاله: علمی-پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22034/tjee.2025.67507.5029 | ||
| نویسندگان | ||
| اسعد شمشادی* 1؛ مهدی پیامنی2 | ||
| 1عضو هیات علمی دانشگاه صنعتی اراک | ||
| 2دانشگاه صنعتی اراک | ||
| چکیده | ||
| Photovoltaic (PV) systems are increasingly integrated into microgrids, offering clean and sustainable energy solutions. However, partial shading conditions significantly impact PV system performance, leading to multiple local maxima in the power-voltage (P-V) curve. This necessitates robust Maximum Power Point Tracking (MPPT) algorithms to extract maximum power efficiently. This paper proposes a novel MPPT technique for PV systems connected to a microgrid under partial shading conditions, employing the Gravitational Search Algorithm (GSA). GSA, inspired by Newtonian gravity, effectively explores the solution space and converges towards the global maximum power point. The proposed method is evaluated through simulations, demonstrating superior performance compared to conventional MPPT techniques in terms of tracking accuracy, convergence speed, and robustness against varying shading patterns. The graph of the tracked power for the proposed method in this paper, under variable temperature and partial shading conditions, shows that it has a faster response (100ms) compared to similar methods, such as the Fuzzy Logic Controller (FLC) and the Gravitational Search Algorithm (GSA), for tracking the global maximum power point in grid-connected PV systems under partial shading conditions. The results highlight the effectiveness of the GSA-based MPPT in maximizing energy extraction from PV systems under challenging operating conditions, thereby enhancing the overall efficiency and reliability of microgrids. | ||
| کلیدواژهها | ||
| سیستم فتوولتائیک؛ ریزشبکه؛ عدم قطعیت؛ الگوریتم جستجوی گرانشی؛ نقطه حداکثر توان | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 127 |
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