Journal ArticleDOI
Parameter extraction of solar cells using particle swarm optimization
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TLDR
In this article, particle swarm optimization (PSO) was applied to extract the solar cell parameters from illuminated currentvoltage characteristics, and the performance of the PSO was compared with the genetic algorithms (GAs) for the single and double diode models.Abstract:
In this article, particle swarm optimization (PSO) was applied to extract the solar cell parameters from illuminated current-voltage characteristics. The performance of the PSO was compared with the genetic algorithms (GAs) for the single and double diode models. Based on synthetic and experimental current-voltage data, it has been confirmed that the proposed method can obtain higher parameter precision with better computational efficiency than the GA method. Compared with conventional gradient-based methods, even without a good initial guess, the PSO method can obtain the parameters of solar cells as close as possible to the practical parameters only based on a broad range specified for each of the parameters.read more
Citations
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Journal ArticleDOI
Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review
TL;DR: In this paper, a review of the important works on the modelling and parameters estimation of photovoltaic (PV) cells for PV simulation is presented, which provides the concepts, features, and highlights the advantages and drawbacks of three main PV cell models, namely the single diode RS-, RP- and the two-diode.
Journal ArticleDOI
Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm
TL;DR: The Chaotic Whale Optimization Algorithm (CWOA) is proposed, using the chaotic maps to compute and automatically adapt the internal parameters of the optimization algorithm for the parameters estimation of solar cells.
Journal ArticleDOI
Simulated Annealing algorithm for photovoltaic parameters identification
TL;DR: Comparative study among different parameter estimation techniques is presented to show the effectiveness of the developed approach, and statistical analyses are carried out to measure the accuracy of the estimated parameters and model suitability.
Journal ArticleDOI
Parameter estimation of solar photovoltaic (PV) cells: A review
TL;DR: In this paper, the existing research works on PV cell model parameter estimation problem are classified into three categories and the research works of those categories are reviewed based on the conducted review, some recommendations for future research are provided.
Journal ArticleDOI
Parameter identification of solar cells using artificial bee colony optimization
TL;DR: The ABC (artificial bee colony) algorithm is proposed, an evolutionary method inspired by the intelligent foraging behavior of honey bees, which exhibits a better search capacity to face multi-modal objective functions in comparison with other evolutionary algorithms.
References
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Book ChapterDOI
Parameter Selection in Particle Swarm Optimization
Yuhui Shi,Russell C. Eberhart +1 more
TL;DR: This paper first analyzes the impact that inertia weight and maximum velocity have on the performance of the particle swarm optimizer, and then provides guidelines for selecting these two parameters.
Journal ArticleDOI
Particle swarm optimization to solving the economic dispatch considering the generator constraints
TL;DR: In this paper, a particle swarm optimization (PSO) method for solving the economic dispatch (ED) problem in power systems is proposed, and the experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems.
Journal ArticleDOI
A particle swarm optimization for reactive power and voltage control considering voltage security assessment
TL;DR: In this article, a particle swarm optimization (PSO) for reactive power and voltage control (volt/VAr control: VVC) considering voltage security assessment (VSA) is presented.
Journal ArticleDOI
Analytical methods for the extraction of solar-cell single- and double-diode model parameters from I-V characteristics
D.S.H. Chan,Jacob C. H. Phang +1 more
TL;DR: In this paper, an analytical solution for the rapid extraction of single and double-diode model parameters from experimental data is described. And the resulting parameters' values' values are shown to have less than 10 percent error for most solar cells.
Journal ArticleDOI
Nonlinear Minimization Algorithm for Determining the Solar Cell Parameters with Microcomputers
TL;DR: In this article, a nonlinear least-squares optimization algorithm based on the Newton model modified with Levenberg parameter is described for the extraction of the five illuminated solar cell parameters from the experimental data.