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

书目详细资料
Parent link:	ACM International Conference Proceeding Series 4th International Conference on Frontiers of Educational Technologies (ICFET 2018).— 2018.— [P. 161-165]
主要作者:	Obukhov S. G. Sergey Gennadievich
其他作者:	Ibrahim Ahmed I. M. Ibrahim Mohamed, Aboelsaud Raef S. S. A. Siam Sayed Ahmed
总结:	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
语言:	英语
出版:	2018
主题:	электронный ресурс труды учёных ТПУ максимальная мощность фотоэлектрические системы
在线阅读:	https://doi.org/10.1145/3233347.3233375
格式:	电子本书章节
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660024

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