4.8 Article

The analysis of parameter uncertainty on performance and reliability of photovoltaic cells

期刊

JOURNAL OF POWER SOURCES
卷 507, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jpowsour.2021.230265

关键词

Photovoltaic cells; Quasi-Monte Carlo; Uncertainty; Output power; Fill factor

资金

  1. National Natural Science Foundation of China [51708194]
  2. Natural Science Foundation of Shaanxi Province [2019JM-377]
  3. Open Fund of Key Laboratory of Icing and Anti/De-icing [IADL20200105]
  4. Fundamental Research Funds for the Central Universities [NWPU310202006zy007]
  5. Postgraduate Tutor guidance ability improvement plan in 2019 at Northwestern Polytechnical University (2019)

向作者/读者索取更多资源

This study used the quasiMonte Carlo method to analyze the influence of parameter uncertainty on the output power performance of photovoltaic cells. Results showed that factors such as current temperature coefficient, series resistance and parallel resistance play significant roles. In a normal working environment, lower surface temperature contributes to higher output power and fill factor.
In engineering practice, the parameters affecting the output of a photovoltaic cell such as its irradiation intensity, surface temperature, current temperature coefficient, series resistance, parallel resistance, and ideality factor each inevitably possess a degree of uncertainty. Based on a photovoltaic cell model, this study uses the quasiMonte Carlo method to model the randomness of these parameters, then discusses the influence of the uncertainty of each parameter on the output power performance, stability, and reliability. The results show that a high current temperature coefficient is beneficial to the average output power and fill factor. The smaller the series resistance and the greater the parallel resistance, the greater the mean and standard deviation of the output power and fill factor. In a normal working environment, the lower the average surface temperature, the higher the mean output power and fill factor, and the smaller the standard deviation of the output power. Finally, optimal values of the ideality factor and radiation intensity are found to exist for the mean output power. The research in this paper expands the performance evaluation standards of photovoltaic cells and provides a theoretical and technical basis for the optimization of photovoltaic cell designs that accounts for parameter randomness.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据