Parameters estimation of photovoltaic models using a novel hybrid seagull optimization algorithm

Estimating parameters and establishing high-accuracy and high-reliability models of photovoltaic (PV) modules by using the actual current-voltage data is important to simulate, model, and optimize the PV systems. Several meta-heuristic optimization techniques have been developed to estimate the para...

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Veröffentlicht in:	Energy (Oxford) Jg. 249; S. 123760
Hauptverfasser:	Long, Wen, Jiao, Jianjun, Liang, Ximing, Xu, Ming, Tang, Mingzhu, Cai, Shaohong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 15.06.2022 Elsevier BV
Schlagworte:	Algorithms Benchmarks Differential evolution energy equations Function optimization Heuristic methods Laridae Mathematical models Model accuracy Mutation Optimization Optimization algorithms Optimization techniques Parameter estimation Photovoltaic cells Photovoltaic models Photovoltaics Reliability Reliability analysis Seagull optimization algorithm Trigonometric functions Seagull optimization algorithm Differential evolution Parameter estimation Function optimization Photovoltaic models
ISSN:	0360-5442, 1873-6785
Online-Zugang:	Volltext
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