荣秀婷, 葛斐, 王海超, 李周, 杨欣. 一种新的最大负荷分解方法[J]. 现代电力, 2014, 31(4): 44-46.
引用本文: 荣秀婷, 葛斐, 王海超, 李周, 杨欣. 一种新的最大负荷分解方法[J]. 现代电力, 2014, 31(4): 44-46.
RONG Xiuting, GE Fei, WANG Haichao, LI Zhou, YANG Xin. A New Decomposition Method of Maximum Load[J]. Modern Electric Power, 2014, 31(4): 44-46.
Citation: RONG Xiuting, GE Fei, WANG Haichao, LI Zhou, YANG Xin. A New Decomposition Method of Maximum Load[J]. Modern Electric Power, 2014, 31(4): 44-46.

一种新的最大负荷分解方法

A New Decomposition Method of Maximum Load

  • 摘要: 为了更好地研究最大负荷构成,本文首先对安徽省20072012年统调最大用电负荷(简称:最大负荷)8 760整点实时数据进行了统计及特性分析。在此基础上,提出了一种新的负荷分解思路——温度梯度法,将最大负荷根据构成分解为基础负荷和空调负荷;根据用电主体对温度耐受程度不同,将空调负荷分解为居民空调负荷、非居民空调负荷。该分解方法扩大了负荷的历史样本空间,方便寻找影响负荷的影响因子,最后分析了气象因素与负荷的关系,分析结果间接地印证了该分解方法的正确性和可用性。

     

    Abstract: In order to better study the maximum load composition, the maximum power load (referred to as maximum load) for real-time 8 760 hourly data of Anhui Province during the period from 2007 to 2012 is firstly analyzed in the paper, based on which a new method of load decomposition, the gradient temperature method, is proposed. The maximum load can be divided into basics load and air conditioning load according to its composition, and the latter can be divided into household and non-household air conditioning load according to electricity consumer's different tolerance levels of temperature. By using of this method, the historical sample period of load data is expanded and the factors that influence the load are sought conveniently. In the end, the relationship between the meteorological factors and load is analyzed, and the results show the correctness and feasibility of the decomposition method.

     

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