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An Improved Technique for Predicting Characteristics of Two-diode Based PV Model

机译:一种改进技术,用于预测基于二极管的PV模型特性

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This paper presents an improved technique for unknown parameter estimation and electrical performance characteristic prediction of photo voltaic (PV) module. Accurate PV modeling is necessary for analyzing the performance of solar system, inverter design, studying of PV characteristics etc. The aim of this work is to develop two algorithms for two-diode based PV model. First algorithm is for estimating the seven unknown parameters and second one is for predicting the electrical performance at different operating conditions. Prediction of PV module characteristics depends on the accuracy of computed parameters. In order to compute parameters, algorithms are developed by considering all the factors associated with PV model. In this work, to show the effectiveness of two algorithms a comparative study between proposed technique and existing method has been carried out and the result demonstrate that proposed technique gives solutions which are very close to the experimental values at different operating conditions.
机译:本文介绍了一种改进的光伏(PV)模块未知参数估计和电能性能特性预测的改进技术。准确的PV造型对于分析太阳系的性能,逆变器设计,光伏特性研究等所必需的必要。这项工作的目的是为基于两二极管的PV模型开发两种算法。第一算法用于估计七个未知参数,第二个算法用于预测不同操作条件下的电性能。 PV模块特性的预测取决于计算参数的准确性。为了计算参数,通过考虑与PV模型相关的所有因素来开发算法。在这项工作中,为了表明两种算法的有效性,所提出的技术与现有方法之间的比较研究已经进行,结果表明,提出的技术提供了非常接近不同操作条件下实验值的溶液。

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