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Chang XU, Molin HE, Cheng YANG, Yingjie ZHANG, ✉. Analysis of Influence Factors of Load Characteristics in Guizhou[J]. SOUTHERN ENERGY CONSTRUCTION, 2020, 7(S1): 36-41. DOI: 10.16516/j.gedi.issn2095-8676.2020.S1.007
Citation: Chang XU, Molin HE, Cheng YANG, Yingjie ZHANG, ✉. Analysis of Influence Factors of Load Characteristics in Guizhou[J]. SOUTHERN ENERGY CONSTRUCTION, 2020, 7(S1): 36-41. DOI: 10.16516/j.gedi.issn2095-8676.2020.S1.007
shu

Analysis of Influence Factors of Load Characteristics in Guizhou

  • 1.

    Power Grid Planning Research Center, Guizhou Power Grid Corporation, Guiyang 550003, China

  • 2.

    China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd., Guangzhou 510663, China

More Information
  • Received Date: September 08, 2019
  • Revised Date: April 06, 2020
    Abstract
  • [Introduction] In order to accurately understand the situation of load characteristics and grasp the change regularity of load, it is necessary to analyze the influence factors of the load characteristics of Guizhou power grid.
      Method  Based on the data collected from the historical load, macro-economic, weather and temperature and so on, we first analyzed and summarized the change regularity of load characteristics of Guizhou power grid, and further analyzed the influencing factors of load characteristics from several aspects such as macro economy, large industrial users and temperature changes.
      Result  The results showed that economic development level and industrial structure adjustment, large industrial users and temperature changes had a greater impact on the load characteristics of Guizhou power grid, while other factors, such as power demand side management and electricity price policy had a smaller impact on the Guizhou load characteristics.
      Conclusion  According to the analysis results, this paper puts forward some suggestions on load prediction and load characterisctic improvement in Guizhou.
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  • XU Chang,HE Molin,YANG Cheng,et al.Analysis of Influence Factors of Load Characteristics in Guizhou[J].Southern Energy Construction,2020,07(增刊1):36-41.

    • References (10)
  • [1]
    赵希正，周小谦，姜绍俊. 中国电力负荷特性分析与预测 [M]. 北京：中国电力出版社，2002.
    [2]
    唐学用，万会江，叶航超，等. 贵州统调电网典型日负荷特性分析与预测 [J]. 中国电力，2015，48(9)：24-30.
    [3]
    宣科. 电网负荷特性影响因素综述 [J]. 电力讯息，2016(13)：139.
    [4]
    杨卓，李波. 广西负荷特性影响因素分析 [J].广西电力，2014，37(6)：47-51.
    [5]
    李峰. 广东负荷特性变化趋势及应对策略研究 [J]. 广东电力，2011，24（10）：29-32.
    [6]
    魏磊，张琳，姜宁，等. 西北地区电网负荷特性研究 [J]. 电网与清洁能源，2010，26（7）：57-62.
    [7]
    白宏坤，李干生. 河南省负荷特性研究 [J]. 电力需求侧管理，2010，12（3）：78-83.
    [8]
    陈健，刘明波，樊亚亮，等. 广州电网负荷特性分析 [J].电力系统及其自动化学报，2009，21（6）：25-29.
    [9]
    贵州省统计局.贵州省宏观经济数据库[EB/OL]. [2017-08-01] (2020-04-28). http://hgk.guizhou.gov.cn/index.vhtml.
    [10]
    贵州省人民政府.贵州年鉴2018 [EB/OL]. [2019-03-15] (2020-04-28).http://www.guizhou.gov.cn/zfsj/gznj_8211/201903/t20190315_2302806.html.
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