Maximum Power Point Tracking OF Partially Shading PV system Using Particle Swarm Optimization; ACM International Conference Proceeding Series; 4th International Conference on Frontiers of Educational Technologies (ICFET 2018)
| Parent link: | ACM International Conference Proceeding Series 4th International Conference on Frontiers of Educational Technologies (ICFET 2018).— 2018.— [P. 161-165] |
|---|---|
| Автор: | Obukhov S. G. Sergey Gennadievich |
| Співавтор: | Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Отделение электроэнергетики и электротехники (ОЭЭ) |
| Інші автори: | Ibrahim Ahmed I. M. Ibrahim Mohamed, Aboelsaud Raef S. S. A. Siam Sayed Ahmed |
| Резюме: | Title screen The partial shading condition (PSC) often occur in large photovoltaic (PV) generation system (PGS), it causes system losses and many problems in reliability of power system. The power voltage ( p-v) curve under the PSC have more peaks local and global peak and this makes the track of maximum power is very difficult and the conventional algorithms can't track the global maximum power point in this case. In this paper, the maximum power point tracking (MPPT) under PSC are evaluated using the particle swarm optimization (PSO). The proposed model tracks the global maximum power point (GMPP) very fast and in very short time and don't exceed 30 iterations under minimum solar irradiation cases. Режим доступа: по договору с организацией-держателем ресурса |
| Мова: | Англійська |
| Опубліковано: |
2018
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| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1145/3233347.3233375 |
| Формат: | MixedMaterials Електронний ресурс Частина з книги |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660024 |
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