Maximum Power Point Tracking OF Partially Shading PV system Using Particle Swarm Optimization

Maximum Power Point Tracking OF Partially Shading PV system Using Particle Swarm Optimization

Détails bibliographiques
Parent link:ACM International Conference Proceeding Series
4th International Conference on Frontiers of Educational Technologies (ICFET 2018).— 2018.— [P. 161-165]
Auteur principal: Obukhov S. G. Sergey Gennadievich
Collectivité auteur: Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Отделение электроэнергетики и электротехники (ОЭЭ)
Autres auteurs: Ibrahim Ahmed I. M. Ibrahim Mohamed, Aboelsaud Raef S. S. A. Siam Sayed Ahmed
Résumé: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
Publié: 2018
Sujets:
электронный ресурс
труды учёных ТПУ
максимальная мощность
фотоэлектрические системы
Accès en ligne:https://doi.org/10.1145/3233347.3233375
Format: Électronique Chapitre de livre
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660024

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