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
Parameter Identification of Solar Cell Model Based on Improved Artificial Bee Colony Algorithm
Liyan Xu,Lili Bai,Haijie Bao,Jingqing Jiang +3 more
- 14 May 2021
TL;DR: In this paper, an improved artificial bee colony algorithm (IABC) is proposed in order to increase the accuracy of the parameters identification of solar cell model, which has a 50% probability to update the position guided by global best honey source after neighborhood search.
7
Adaptive IIR model identification using chaotic opposition-based whale optimization algorithm
Provas Kumar Roy,Angsuman Sarkar +1 more
TL;DR: A novel chaotic oppositional-based initialization process is nominated before the start of conventional WOA to improve the performance and checks out as a more convenient contender compared to the other evolutionary techniques in terms of accuracy and convergence speed.
7
Time series forecasting by the novel Gaussian process wavelet self-join adjacent-feedback loop reservoir model
TL;DR: Wang et al. as discussed by the authors proposed a Gaussian Process Wavelet Self-Join Adjacent-feedback Loop Reservoir (GP-WSALR) model which combines the advantages of SALR and Gaussian process regression.
7
Solar Photovoltaic Cell Parameters Extraction Using Differential Evolution Algorithm
Rachid Herbazi,Youssef Kharchouf,Khalid Amechnoue,Ahmed Khouya,Adil Chahboun +4 more
- 22 Dec 2020
TL;DR: In this paper, the authors presented a method for extracting parameters from photovoltaic (PV) solar cells, based on the three critical points of the currentvoltage (I-V) characteristic, i.e., the short-circuit current, the open circuit voltage and the maximum power point (MPP).
7
Semisupervised SVM by Hybrid Whale Optimization Algorithm and Its Application in Oil Layer Recognition
TL;DR: A new semisupervised SVM by hybrid whale optimization algorithm (HWOA-S3VM) is proposed in this paper, and it is shown that HWOA has a higher convergence speed and better global searchability than other algorithms.
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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