主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Journal of Meteorology and Environment ›› 2018, Vol. 34 ›› Issue (3): 99-105.doi: 10.3969/j.issn.1673-503X.2018.03.012

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Relationship between daily maximum electric power load and meteorological factors in summer in Beijing

LI Chen1,2, GUO Wen-li1, WU Jin3, JIN Chen-xi1   

  1. 1. Beijing Meteorological Service Center, Beijing 100089, China;
    2. Institute of Beijing Urban Meteorology, CMA, Beijing 100089, China;
    3. Environment Meteorology Forecast Center of Beijing-Tianjin-Hebei, Beijing 100089, China
  • Received:2017-03-24 Revised:2017-05-04 Online:2018-06-30 Published:2018-06-30

Abstract: Based on daily electrical load data in Beijing from 2006 to 2013 and meteorological observation data in Beijing plain areas including Chaoyang,Haidian,Fengtai,Shijingshan,Beijing Meteorological Observatory,and Changping,the spatial and temporal characteristics of electrical load and the relationship between summer maximum electrical load and meteorological factors were analyzed.Three methods were used to extract meteorological load.The correlation between meteorological factors and summer meteorological load was also analyzed.The results show that daily electrical loads increased linearly from 2006 to 2013.The patterns of annual and hourly variations both present obvious "bimodal pattern".Usually,the maximum electrical load appears in summer,but in some districts,it appears in winter.Electrical loads in Chaoyang and Haidian districts are significantly higher than those in other areas.The maximum electrical load in summer in Beijing significantly correlates with temperature humidity index and daily mean temperature.The correlation coefficients between meteorological factors and meteorological load are higher than those between meteorological factors and original load.The extraction method based on eliminating summer mean maximum variation trend is better than other methods.When the accumulated meteorological factors amount to 2 days,the summer meteorological load is the most sensitive to the meteorological factors.

Key words: Electrical load, Meteorological load, Meteorological factors, Accumulated, Correlation analysis

CLC Number: