能源互联网背景下园区用户画像及成熟度评价模型研究  

Research on Park Users Portrait and Maturity Evaluation Model under the Background of Energy Internet

作　　者：王利利[1] 张琳娟[1] 许长清[1] 武宏波[2] 李翼铭 黄玉晶 WANG Lili;ZHANG Linjuan;XU Changqing;WU Hongbo;LI Yiming;HUANG Yujing(State Grid Henan Electric Power Co.Economic and Technical Research Institute,Zhengzhou 450007,China;State Grid Henan Electric Power Co.,Zhengzhou 450007,China;North China Electric Power University,Beijing 102206,China)

机构地区：[1]河南省电力公司经济技术研究院,河南郑州450007 [2]河南省电力公司,河南郑州450007 [3]华北电力大学,北京102206

出　　处：《中国电力》2020年第8期19-28,共10页Electric Power

基　　金：河南省电力公司科技项目(5217L018000S)。

摘　　要：随着能源互联网建设的不断深入,中国能源相关行业从上到下均积极创新,促进能源的高效、合理利用发展,园区用户作为能源消费的重点以及能源互联网技术集中应用地,是能源革命的重要前沿阵地。如何高效深入挖掘海量数据蕴含的价值信息,刻画园区用户的用能特征为用户、电网及更多市场主体提供价值服务是能源互联网建设的重要内容与研究方向。基于用户画像技术,基于用户负荷水平、用户日常用电行为、用户多元互动能力等因素,构建多个维度用户特征的园区用户三级标签体系,并以此构建了园区用户成熟度评价模型,分别从负荷水平、用电行为、互动能力三个维度对用户的用电特性进行评价。实例分析表明该模型有助于区域电网运营商快速直观掌握电力用户的负荷行为模式以及电量需求规律,进而高效开展精准的供电及增值服务。With the deepening of the construction of energy internet,China’s energy-related industries are actively innovating from top to bottom to promote the efficient and rational use and development of energy.As the focus of energy consumption and the centralized application of energy internet technology,park users are the important front positions of the energy revolution.How to efficiently and deeply mine the value information contained in massive data and depict the energy consumption characteristics of users in the park to provide value services for users,power grids and more market players is an important content and research direction of energy internet.Based on the user portrait technology,this paper constructs a three-level tag system for campus users covering multiple dimensions of user characteristics,taking into account factors such as load level,power consumption behavior and interaction ability.Based on this,a maturity evaluation model for campus users is constructed to evaluate the power consumption characteristics of users from three dimensions of load level,power consumption behavior,and interaction ability.The case study shows that the model is helpful for regional power grid operators to quickly and intuitively grasp the load behavior patterns and electricity demand laws of power users,and then efficiently carry out accurate power supply and value-added services.

关 键 词：能源互联网 用户画像 三级标签体系 用户成熟度 

分 类 号：TK01[动力工程及工程热物理] TM73[电气工程—电力系统及自动化]