Journal Article10.1016/j.ijleo.2022.168873
Symmetric chaotic gradient-based optimizer algorithm for efficient estimation of PV parameters
14
TL;DR: In this paper , the authors proposed an improved optimization algorithm by combining the gradient-based optimizer with the symmetric chaotic sequence generator to estimate the PV parameters of solar cells and modules, which achieved the lowest root mean square error (RMSE) and standard deviation (SD) values for almost all of the PV cells/modules considered in this paper when compared to some state-of-the-art algorithms.
read more
About: This article is published in Optik. The article was published on 01 Mar 2022. The article focuses on the topics: Photovoltaic system & Datasheet.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
Mohammad Sh. Daoud,Mohammad Shehab,Hani Al-Mimi,Laith Abualigah,Raed Abu Zitar,Moh'd Khaled Yousef Shambour +5 more
TL;DR: A comprehensive survey of gradient-based optimizer (GBO) can be found in this paper , where a set of related works of GBO where distributed into; GBO variants, GBO applications, and evaluate the efficiency of GO compared with other metaheuristic algorithms.
Optimization of pv cells/modules parameters using a modified quasi-oppositional logistic chaotic rao-1 (QOLCR) algorithm
TL;DR: A chaotic map is incorporated in the so-called quasi-oppositional logistic chaotic Rao-1 algorithm to improve its efficiency, and the resulting algorithm is named QOLCR (QOLCR) algorithm, which shows its perfectness and could be involved as tools for optimal designing of PV systems.
9
Efficient Estimation of PV Parameters for Existing Datasets by Using an Intelligent Algorithm
TL;DR: This paper proposes the Bonobo Optimizer (BO) algorithm for efficient estimation of solar PV parameters, outperforming existing meta-heuristic algorithms with lower Root Mean Square Error (RMSE) and improved accuracy through combination with Newton-Raphson approach.
8
An improved Symmetric Chaotic War strategy optimization algorithm for efficient Scanning electron microscopy image segmentation: Calcium oxide catalyst case
Amdjed Abdennouri,Emna Zouaoui,Hana Fefkous,Amir Shah Hamza,Morad Grimes,Abdelkarim Boukabou +5 more
TL;DR: A novel Symmetric Chaotic War Strategy Optimization Algorithm (SCWSO) is proposed for efficient Scanning Electron Microscopy image segmentation of calcium oxide catalysts, outperforming competing algorithms in accuracy and robustness against noise degradation.
3
References
A Two-dimensional Mapping with a Strange Attractor
TL;DR: In this article, the same properties can be observed in a simple mapping of the plane defined by: \({x i + 1}} = {y_i} + 1 - ax_i^2,{y i+ 1} = b{x_i}\).
Renewable energy resources: Current status, future prospects and their enabling technology
TL;DR: In this paper, the authors present how renewable energy resources are currently being used, scientific developments to improve their use, their future prospects, and their deployment, and represent the impact of power electronics and smart grid technologies that can enable the proportionate share of renewable resources.
2.7K
Challenges and solution technologies for the integration of variable renewable energy sources—a review
TL;DR: This study provides a comprehensive overview of challenges and solution technologies among all domains of the power system and helps to better specify the need for specific solution technologies and enhances transparency of the complex process of renewable energy integration.
724
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.
691
Gradient-based optimizer: A new metaheuristic optimization algorithm
TL;DR: A novel metaheuristic optimization algorithm, gradient-based optimizer (GBO) is proposed, which yielded very promising results due to its enhanced capabilities of exploration, exploitation, convergence, and effective avoidance of local optima.
661