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PV cell and module efficient parameters estimation using Evaporation Rate based Water Cycle Algorithm

机译:使用基于蒸发速率的水循环算法的光伏电池和模块高效参数估计

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摘要

In order to carry out precise performance investigations and control studies on photovoltaic (PV) systems, an accurate model is always desired. In this work, a new and powerful metaheuristic optimization technique known as Evaporation Rate based Water Cycle Algorithm (ER-WCA) has been explored for effective parameters estimation of PV cell/module. Single and double diode based models of PV cell and single diode based model of PV module have been successfully identified from their respective single I-V non-linear characteristics and the modeling performance of ER-WCA, assessed in terms of root mean square error, mean absolute error and mean relative error, between computed and experimental data, is found to be superior to the several recent prominent published works particularly the modeling of a single diode based PV module. Furthermore, the PV module modeling capability of ER-WCA under varying temperature and irradiation conditions is also analysed and it is found to be effective, proving its practical applications. Based on the presented detailed investigation, it is concluded that ER-WCA is a promising optimization technique for PV cell/module identification.
机译:为了进行精确的性能调查和对光伏(PV)系统的控制研究,总是需要精确的模型。在这项工作中,已经探索了一种新的和强大的成群质型优化技术,以探索了PV小区/模块的有效参数估计的基于蒸发速率的水循环算法(ER-WCA)。从其各自的单型IV非线性特性和ER-WCA的建模性能成功地识别了PV电池和基于单二极管的PV电池和单二极管模型的基于单二极管的基于PV电池模型的模型,从根均线误差方面评估,意味着绝对错误且平均相对误差在计算和实验数据之间发现优于最近的几个突出的公开工作,特别是基于单二极管的PV模块的建模。此外,还分析了在不同温度和照射条件下ER-WCA的PV模块建模能力,发现其有效,证明其实际应用。基于呈现的详细研究,得出结论,ER-WCA是PV电池/模块识别的有希望的优化技术。

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