春节期间主要行业用电波动特性研究

Ｒesearch on Power Consumption Fluctuation Characteristics of Main Industries during the Spring Festival

摘要:

针对中国节假日尤其是长假对用电曲线的显著影响,提出了春节期间行业用电波动特性的表征参数,开展了基于K-means算法的曲线聚类分析,揭示了主要工业行业和服务行业逐日用电与春节长假的内在联系。结果表明,主要工业行业可聚为4类,主要服务行业可聚为3类。部分行业用电基本不受春节因素影响;在受影响明显的行业中,有U型曲线,也有V型曲线,有些降幅大但恢复快,有些降幅小但恢复慢,还有一些与春节假期高度重合。

Abstract:

Holidays，especially long holidays，have a significant impact on the curve of power consumption． The characteristic parameters of industry power consumption fluctuation during the Spring Festival are put forward，and the curve clustering analysis based on K － means algorithm is carried out，which reveals the internal relationship between the daily power consumption of main industries and service industry and the long Spring Festival holiday． The results show that the main industries can be divided into four categories，and the main service industry can be divided into three categories． The power consumption of some industries is basically not affected by the Spring Festival，and among the industries that are obviously affected，there are U － shaped curves and V － shaped curves，some of which have a large decline but rapid recovery，some of which have a small decline but slow recovery，and some of which are highly overlapped with the Spring Festival holiday．