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安徽省空调负荷横向对比差异分析与中长期预测
引用本文:王宝,马静,叶斌,陈煜,杨敏,李周.安徽省空调负荷横向对比差异分析与中长期预测[J].安徽电气工程职业技术学院学报,2020(1):29-34.
作者姓名:王宝  马静  叶斌  陈煜  杨敏  李周
作者单位:;1.国网安徽省电力有限公司经济技术研究院;2.国网安徽省电力有限公司
摘    要:针对安徽空调负荷比重和人均空调负荷两项空调负荷指标水平是否符合安徽自身发展特征及其中长期发展趋势问题,文章选取华东和中部其他省份作为参考,分别建立了安徽空调负荷比重和人均空调负荷差异分析模型以及空调负荷预测模型,结果表明,安徽空调负荷比重与自身负荷特性和用电结构特征总体匹配,人均空调负荷与自身人均居民指标水平和城镇化进程特点总体匹配,安徽空调负荷指标与中部省份更为相近,安徽2025年人均空调负荷达到江苏、浙江当前水平,2030年达到上海当前水平,中长期空调负荷比重仍有上升空间,但难超55%。

关 键 词:空调负荷比重  人均空调负荷  横向对比  差异分析  预测

Crosswise Contrastive Difference Analysis and Medium-to-Long Term Forecasting on Air-Conditioning Load in Anhui Province
WANG Bao,MA Jing,YE Bin,CHEN Yu,YANG Min,LI Zhou.Crosswise Contrastive Difference Analysis and Medium-to-Long Term Forecasting on Air-Conditioning Load in Anhui Province[J].Journal of Anhui Electrical Engineering Professional Technique College,2020(1):29-34.
Authors:WANG Bao  MA Jing  YE Bin  CHEN Yu  YANG Min  LI Zhou
Affiliation:(Institute of Economy and Technology, State Grid Anhui Electric Power Co. , Ltd. , Hefei 230022, China;State Grid Anhui Electric Power Co. , Ltd. , Hefei 230061, China)
Abstract:With the aim to learn about whether such two air-conditioning load indicators as air-conditioning load proportion and per capita air-conditioning load accord with the development characteristics of Anhui Province and its medium-to-long term development,this paper respectively establishes difference analysis models of air-conditioning load proportion and per capita air-conditioning load as well as a forecasting model,seeking reference from other provinces in East and Central China.According to the results,Anhui Province′s air-conditioning load proportion accords on the whole with its load characteristics and power consumption structure,while its per capita air-conditioning load generally accords with its per capita residential levels and urbanization.While closer to central provinces in terms of air-conditioning load indicators,Anhui′s per capita air-conditioning load is expected to achieve the current level of Jiangsu Province and Zhejiang Province in 2025 and that of Shanghai in 2030.Despite room for increase,its medium-to-long term air-conditioning load proportion can hardly exceed 55%.
Keywords:air-conditioning load proportion  per capita air-conditioning load  crosswise contrast  difference analysis  forecasting
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