Comparative Parameter Estimation of Single Diode PV-Cell Model by Using Sine-Cosine Algorithm and Whale Optimization Algorithm

O. Aydin, H. Gozde, M. Dursun, M. Taplamacioglu
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引用次数: 13

Abstract

The share of photovoltaic energy systems in electricity production is increasing day by day. Photovoltaic systems are typically modeled as PV-cell circuit when using in power system analysis. The selection of the parameters used in the model is crucial because how close the model outputs are to reality depends on true estimation of these parameters. These parameters are also important for efficiency and maximum power tracking. Due to the increase in electricity generation with solar energy, the problem of estimation of these parameters has become a widely studied subject in recent years. In this study, the parameters of PV-cell are estimated using Whale Optimization Algorithm (WOA) and Sine-Cosine Algorithm (SCA) and compared with the related literature.
基于正弦余弦算法和鲸鱼优化算法的单二极管PV-Cell模型参数比较估计
光伏能源系统在电力生产中的份额日益增加。在电力系统分析中,通常将光伏系统建模为光伏电池电路。模型中使用的参数的选择是至关重要的,因为模型输出与现实的接近程度取决于对这些参数的真实估计。这些参数对于效率和最大功率跟踪也很重要。近年来,随着太阳能发电量的增加,这些参数的估计问题已成为一个广泛研究的课题。本研究采用鲸鱼优化算法(Whale Optimization Algorithm, WOA)和正弦余弦算法(sin - cosine Algorithm, SCA)对光伏电池参数进行估计,并与相关文献进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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