Journal Article10.1016/J.APENERGY.2017.05.029
Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm
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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.
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About: This article is published in Applied Energy. The article was published on 15 Aug 2017. The article focuses on the topics: Photovoltaic system & Solar energy.
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Citations
A new method for parameter extraction of solar photovoltaic models using gaining–sharing knowledge based algorithm
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Parameter estimation for photovoltaic system under normal and partial shading conditions: A survey
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Chaotic coyote algorithm applied to truss optimization problems
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TL;DR: A modified COA (MCOA) approach based on chaotic sequences generated by Tinkerbell map to scatter and association probabilities tuning and an adaptive procedure of updating parameters related to social condition is proposed that presented competitive solutions when compared with other state-of-the-art metaheuristic algorithms in terms of results quality.
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Whale optimization algorithm-based Sugeno fuzzy logic controller for fault ride-through improvement of grid-connected variable speed wind generators
TL;DR: Simulation results of using optimal Sugeno fuzzy logic controllers to improve the fault ride-through (FRT) ability of grid-connected WPPs revealed fast time response, less overshoot, and small steady-state error compared with those achieved by using a genetic algorithm (GA) and grey wolf optimizer (GWO).
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References
No free lunch theorems for optimization
TL;DR: A framework is developed to explore the connection between effective optimization algorithms and the problems they are solving and a number of "no free lunch" (NFL) theorems are presented which establish that for any algorithm, any elevated performance over one class of problems is offset by performance over another class.
The Whale Optimization Algorithm
Seyedali Mirjalili,Andrew Lewis +1 more
TL;DR: Optimization results prove that the WOA algorithm is very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods.
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Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays
TL;DR: In this article, the authors proposed a method of modeling and simulation of photovoltaic arrays by adjusting the curve at three points: open circuit, maximum power, and short circuit.
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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.
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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.
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