Maximum Power Point Tracking OF Partially Shading PV system Using Particle Swarm Optimization / S. G. Obukhov, I. M. Ibrahim Ahmed, R. S. S. A. Aboelsaud

Уровень набора: ACM International Conference Proceeding SeriesОсновной Автор-лицо: Obukhov, S. G., specialist in the field of electric power engineering, Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences, 1963-, Sergey GennadievichАльтернативный автор-лицо: Ibrahim Ahmed, I. M., specialist in the field of electric power engineering, Research Engineer, Tomsk Polytechnic University, 1987-, Ibrahim Mohamed;Aboelsaud Raef, S. S. A., specialist in the field of electric power engineering, Research Engineer, Tomsk Polytechnic University, 1987-, Siam Sayed AhmedКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет, Инженерная школа энергетики, Отделение электроэнергетики и электротехники (ОЭЭ)Язык: английский.Резюме или реферат: 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..Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | максимальная мощность | фотоэлектрические системы Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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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.

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