Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
Accurate parameter identification is crucial for a precise PV cell modelling and analysis of
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
characteristics of PV systems, while high nonlinearity of output IV curve makes this problem …
Parameter estimation of solar photovoltaic (PV) cells: A review
AR Jordehi - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
The contribution of solar photovoltaics (PV׳ s) in generation of electric power is continually
increasing. PV cells are commonly modelled as circuits. Finding appropriate circuit model …
increasing. PV cells are commonly modelled as circuits. Finding appropriate circuit model …
Generalized normal distribution optimization and its applications in parameter extraction of photovoltaic models
Y Zhang, Z **, S Mirjalili - Energy Conversion and Management, 2020 - Elsevier
The accuracy of extracting the unknown parameters of photovoltaic models is closely related
with the effectiveness of modeling, simulating, and controlling photovoltaic systems …
with the effectiveness of modeling, simulating, and controlling photovoltaic systems …
Performance optimization of photovoltaic and solar cells via a hybrid and efficient chimp algorithm
C Yang, C Su, H Hu, M Habibi, H Safarpour… - Solar Energy, 2023 - Elsevier
The global shift toward solar energy has resulted in the advancement of research into the
manufacture of high-performance solar cells. It is critical to accurately model and identify the …
manufacture of high-performance solar cells. It is critical to accurately model and identify the …
Parameter estimation of photovoltaic models using an improved marine predators algorithm
M Abdel-Basset, D El-Shahat, RK Chakrabortty… - Energy Conversion and …, 2021 - Elsevier
The abundance of solar energy as one of the clean energy forms offers a great advantage
as an alternative to non-renewable energy sources. The photovoltaic system is a promising …
as an alternative to non-renewable energy sources. The photovoltaic system is a promising …
Parameter extraction of photovoltaic models using an improved teaching-learning-based optimization
Accurate and reliable parameter extraction of photovoltaic (PV) models is urgently desired
for the simulation, evaluation, control, and optimization of PV systems. Although many meta …
for the simulation, evaluation, control, and optimization of PV systems. Although many meta …
Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review
This review paper deliberates the important works on the modelling and parameters
estimation of photovoltaic (PV) cells for PV simulation. It provides the concepts, features, and …
estimation of photovoltaic (PV) cells for PV simulation. It provides the concepts, features, and …
Parameter's extraction of solar photovoltaic models using an improved differential evolution algorithm
Improving the performance of solar photovoltaic systems is reliant on accurately modeling
the cells parameters. However, the identification of the lumped element model parameters …
the cells parameters. However, the identification of the lumped element model parameters …
Extracting accurate parameters of photovoltaic cell models via elite learning adaptive differential evolution
Photovoltaic power generation is becoming increasingly vital as the global call for
environmental protection rises. Establishing an equivalent model for a photovoltaic cell and …
environmental protection rises. Establishing an equivalent model for a photovoltaic cell and …
Parameters identification of solar cell models using generalized oppositional teaching learning based optimization
This paper presents a new optimization method called GOTLBO (generalized oppositional
teaching learning based optimization) to identify parameters of solar cell models. GOTLBO …
teaching learning based optimization) to identify parameters of solar cell models. GOTLBO …