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基于聚类的电网低压台区用电画像方法研究 被引量:20

Research on power consumption portrait method of low-voltage substation areas based on clustering
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摘要 对用电对象进行用电特征分析在电力系统的电力调度、负荷预测、安全性评估等方面具有重要意义。目前的用电特征分析多集中在对用户用电画像方法的研究。低压台区是电网用电中的重要维度,对低压台区进行用电特征分析同样不可或缺。台区用电画像可以帮助电网快速准确地把握台区的负荷特性和用电模式,对挖掘台区用电数据信息并对不同的业务场景进行指导具有重要意义。本文针对台区日冻结量和96点功率数据,提出了台区用电特征标签提取方法并形成标签系统,然后基于聚类技术对获得的台区标签进行聚类分析得到台区画像。最后,本文基于上海市181个台区的用电数据进行案例分析,得到台区用电标签和画像。 It is of great significance to analyze the characteristics of power consumption for power dispatching,load forecasting and safety assessment in the power system.The research about the characteristics analysis of power consumption mainly focuses on the user portrait construction method.The power consumption of low-voltage substation areas is an important part and the corresponding analysis is also significant.The portrait method of low-voltage substation area can help the grid manager to get the load characteristics and power consumption mode quickly and accurately.In this paper,the label system is formulated by label extraction based on the data of daily power consumption and 96-point daily load.Then the portrait of the substation area is constructed by clustering method.Moreover,the label system and portraits of 181 substation areas in Shanghai are derived based on real data and our portrait method.
作者 时珊珊 田英杰 金瑞杨 张灏宇 袁志昌 宋洁 苏运 SHI Shan-shan;TIAN Ying-jie;JIN Rui-yang;ZHANG Hao-yu;YUAN Zhi-chang;SONG Jie;SU Yun(State Grid Shanghai Electric Power Research Institute, Shanghai 200437, China;College of Engineering, Peking University, Beijing 100871, China;Department of Electrical Engineering, Tsinghua University, Beijing 100084, China)
出处 《电工电能新技术》 CSCD 北大核心 2020年第8期66-74,共9页 Advanced Technology of Electrical Engineering and Energy
基金 国网上海市电力公司科技项目(52094018002K)。
关键词 台区画像 标签提取 用电特征 聚类分析 portrait of substation area label extraction power consumption characteristics clustering analysis
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