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 …
[HTML][HTML] A survey on parallel particle swarm optimization algorithms
Most of the complex research problems can be formulated as optimization problems.
Emergence of big data technologies have also commenced the generation of complex …
Emergence of big data technologies have also commenced the generation of complex …
On the root mean square error (RMSE) calculation for parameter estimation of photovoltaic models: A novel exact analytical solution based on Lambert W function
In the literature, one can find a lot of methods and techniques employed to estimate single
diode solar photovoltaic (PV) cell parameters. The efficiency of these methods is usually …
diode solar photovoltaic (PV) cell parameters. The efficiency of these methods is usually …
Parameter extraction of solar cell models using improved shuffled complex evolution algorithm
X Gao, Y Cui, J Hu, G Xu, Z Wang, J Qu… - Energy conversion and …, 2018 - Elsevier
Fast and accurate parameter extraction of solar cell models is always desired for simulation,
evaluation and maximum energy harvesting of PV systems. This paper proposes an …
evaluation and maximum energy harvesting of PV systems. This paper proposes an …
A new high performance method for determining the parameters of PV cells and modules based on guaranteed convergence particle swarm optimization
HGG Nunes, JAN Pombo, S Mariano, MRA Calado… - Applied energy, 2018 - Elsevier
Determining the mathematical model parameters of photovoltaic (PV) cells and modules
represents a great challenge. In the last few years, several analytical, numerical and hybrid …
represents a great challenge. In the last few years, several analytical, numerical and hybrid …
Static and dynamic photovoltaic models' parameters identification using chaotic heterogeneous comprehensive learning particle swarm optimizer variants
Photovoltaic modeling has attracted researchers' attention worldwide because of its
importance in the photovoltaic system design. Therefore, several photovoltaic models have …
importance in the photovoltaic system design. Therefore, several photovoltaic models have …
Parameter extraction of photovoltaic models using atomic orbital search algorithm on a decent basis for novel accurate RMSE calculation
In the available literature, there are several methods and techniques are employed to extract
the unknown parameters of solar cell. The performance of the method used is validated on …
the unknown parameters of solar cell. The performance of the method used is validated on …
[HTML][HTML] Identification of parameters in photovoltaic models through a runge kutta optimizer
Recently, the resources of renewable energy have been in intensive use due to their
environmental and technical merits. The identification of unknown parameters in …
environmental and technical merits. The identification of unknown parameters in …
A novel approach to parameter estimation of photovoltaic systems using hybridized optimizer
Due to rise in solar energy applications, research in Photovoltaic (PV) systems is
increasingly taking precedence. Ideally, one requires an accurate model of the PV based …
increasingly taking precedence. Ideally, one requires an accurate model of the PV based …
[HTML][HTML] An enhanced gradient-based optimizer for parameter estimation of various solar photovoltaic models
The performance of a PhotoVoltaic (PV) system could be inferred from the features of its
current–voltage relationships, but the PV model parameters are uncertain. Because of its …
current–voltage relationships, but the PV model parameters are uncertain. Because of its …