Photovoltaic simulation optimization in the Antarctic environment

In order to improve the photovoltaic power generation efficiency of the Kunlun Station in Antarctica, it is necessary to simulate and model it in order to control it. However, current photovoltaic modeling is mostly based on numerical models, which is not conducive to subsequent system updates. On the basis of traditional mechanism models and combined with the actual environment in Antarctica, this article analyzes the impact of low temperature conditions on the system. By introducing environmental correction parameters, the photovoltaic cell model is optimized. Based on the Wiener process, a degradation model of battery capacity is proposed. The experiment shows that the optimized model can effectively simulate the Antarctic environment.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1117/12.3034353
Primary Topic
Global Energy and Sustainability Research
Type
article
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article

Photovoltaic simulation optimization in the Antarctic environment

Shuo Shan, Kanjian Zhang, Haikun Wei, Yu Tang
Global Energy and Sustainability Research
article

Photovoltaic simulation optimization in the Antarctic environment

Shuo Shan, Kanjian Zhang, Haikun Wei, Yu Tang
article en

Abstract

In order to improve the photovoltaic power generation efficiency of the Kunlun Station in Antarctica, it is necessary to simulate and model it in order to control it. However, current photovoltaic modeling is mostly based on numerical models, which is not conducive to subsequent system updates. On the basis of traditional mechanism models and combined with the actual environment in Antarctica, this article analyzes the impact of low temperature conditions on the system. By introducing environmental correction parameters, the photovoltaic cell model is optimized. Based on the Wiener process, a degradation model of battery capacity is proposed. The experiment shows that the optimized model can effectively simulate the Antarctic environment.

Southeast University (CN)
Openalex Percentile: Top 89%
Global Energy and Sustainability Research
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