Weather Identification Method of Photovoltaic Power Fluctuation Based on Power Fluctuation and Astronomical Factors

Tingting Lin,Guilian Wu,Hao Chen, Sudan Lai, Kai Chen,Jiaqiao Chen, Hao Yu

2023 IEEE International Conference on Power Science and Technology (ICPST)(2023)

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Abstract
Under the guidance of "carbon peak" and "carbon neutral" goals, photovoltaic power generation system has developed rapidly. However, when it is operating, the photovoltaic system is greatly affected by the transition weather compared with the stable weather. In order to effectively identify transition weather types from historical PV data. In this paper, a new method for weather identification of photovoltaic power fluctuation is proposed, which combines power fluctuation and astronomical factors. Firstly, the weather types were initially divided into five categories according to the photovoltaic power change rate. Secondly, the definition index of astronomical factor was introduced for cross subdivision, and the weather types were divided into turning weather types and stable weather types. This method takes into account the particularity of the variation of photovoltaic power and atmospheric conditions when the weather is abnormal. Experimental results show that the proposed method can identify the transition weather effectively.
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