Identification of Solar Photovoltaic Model Parameters Using an Improved Gradient-Based Optimization Algorithm With Chaotic Drifts

When discussing the commercial applications of photovoltaic (PV) systems, one of the most critical problems is to estimate the efficiency of a PV system because current (I) - voltage (V) and power (P) - voltage (V) characteristics are highly non-linear. It should be noted that most of the manufactur...

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Vydáno v:	IEEE access Ročník 9; s. 62347 - 62379
Hlavní autoři:	Premkumar, M., Jangir, Pradeep, Ramakrishnan, C., Nalinipriya, G., Alhelou, Hassan Haes, Kumar, B. Santhosh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Case studies Chaotic communication chaotic generator Chaotic-gradient-based optimizer (CGBO) Design engineering Design optimization Electric potential Generators gradient-based optimizer (GBO) Heuristic algorithms Mathematical model Modules Optimization Optimization techniques Parameter estimation Parameter identification Performance evaluation Photovoltaic cells Photovoltaic systems photovoltaics Solar power generation System effectiveness Voltage
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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