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首页> 外文会议>International Conference on Electrical and Electronics Engineering >Comparative Parameter Estimation of Single Diode PV-Cell Model by Using Sine-Cosine Algorithm and Whale Optimization Algorithm
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Comparative Parameter Estimation of Single Diode PV-Cell Model by Using Sine-Cosine Algorithm and Whale Optimization Algorithm

机译：基于正弦余弦算法和鲸鱼优化算法的单二极管光伏电池模型比较参数估计

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摘要

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.
机译：光伏能源系统在电力生产中的份额正在日益增加。在用于电力系统分析时，通常将光伏系统建模为PV电池电路。选择模型中使用的参数至关重要，因为模型输出与现实的距离取决于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。由于太阳能发电的增加，近年来估计这些参数的问题已成为广泛研究的课题。在这项研究中，使用鲸鱼优化算法（WOA）和正弦余弦算法（SCA）估算PV电池的参数，并与相关文献进行比较。

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