Opposition decided gradient-based optimizer with balance analysis and diversity maintenance for parameter identification of solar photovoltaic models

The solar photovoltaic (PV) parameter estimation/identification is a complicated optimization process that directly affects the performance of PV systems if the internal parameters of PV cells are not estimated accurately. Finding the precise and accurate parameters of PV models is the primary gatew...

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Vydané v:	Journal of ambient intelligence and humanized computing Ročník 14; číslo 6; s. 7109 - 7131
Hlavní autori:	Premkumar, M., Jangir, Pradeep, Elavarasan, Rajvikram Madurai, Sowmya, R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023 Springer Nature B.V
Predmet:	Accuracy Algorithms Alternative energy sources Artificial Intelligence Circuits Computational Intelligence Computing time Data analysis Design engineering Design optimization Engineering Heuristic methods Mathematical models Methods Modules Optimization algorithms Optimization techniques Original Research Parameter estimation Parameter identification Photovoltaic cells Robotics and Automation Solar energy Systems design User Interfaces and Human Computer Interaction Parameter estimation Opposition-based gradient-based optimization algorithm (OBGOA) Opposition-based learning PV models Gradient-based optimization algorithm (GOA)
ISSN:	1868-5137, 1868-5145
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