Application of Cuckoo Search Algorithm for Global Maximum Power Point Tracking of PV under Partial Shading / I. M. Ibrahim Ahmed, S. S. A. Aboelsaud Raef, S. G. Obukhov
Язык: английский.Резюме или реферат: In this study, introduces a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) of photovoltaic (PV). The traditional methods are failed to track the global maximum power point under partially shaded conditions (PSC), which decrease the reliability of the power system and increase the system losses. The research results of the CS algorithm and perturb and observe (P&O) algorithm are investigated for different cases of operations of PV panels under PSC. The proposed CS model can track the GMPP very accurate with high efficiency in less time under severe weather conditions as well as in PSC..Примечания о наличии в документе библиографии/указателя: [References: 10 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | global maximum power point (GMPP) | partially shading condition (PSC) | cuckoo search (CS) | dynamic operation of the PV panel | максимальная мощность | затенение Ресурсы он-лайн:Щелкните здесь для доступа в онлайнНет реальных экземпляров для этой записи
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[References: 10 tit.]
In this study, introduces a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) of photovoltaic (PV). The traditional methods are failed to track the global maximum power point under partially shaded conditions (PSC), which decrease the reliability of the power system and increase the system losses. The research results of the CS algorithm and perturb and observe (P&O) algorithm are investigated for different cases of operations of PV panels under PSC. The proposed CS model can track the GMPP very accurate with high efficiency in less time under severe weather conditions as well as in PSC.
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