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摘要
Based on the actual data collected in Hubei Badong photovoltaic power station, the characteristics and variation feature of three kinds of raw data, such as temperature, radiation and system output, are analyzed. Based on the comprehensive index of accuracy and recall rate, the on-line cleaning and repairing method of the corresponding data is proposed. Finally, the feasibility of data cleaning and repairing is validated by taking the actual data collected from power stations as an example. The results show that the temperature data with uniform variation trend can be cleaned according to the trend distance, the irradiation data can be cleaned in time by setting dynamic threshold interval. By Calculating and cleaning the matching degree of output-irradiation data, which is difficult to analyze independently but suitable for joint analysis, the outlier data can be screened and identified. In addition, the original data of missing points can be better reproduced by data repairing according to the principle of minimizing the corresponding cleaning index. ? 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
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