摘要
能源互联网对智能电网的数据交互与信息挖掘提出了更高的要求。非侵入式负荷监测技术能够挖掘用户用电负荷状态信息,在智能用电领域受到日益广泛的重视。针对现有非侵入式负荷监测系统只能解决用户端负荷数据挖掘,难以实现电网与用户的双向交互及用户信息深度挖掘等问题,提出智能用电非侵入式负荷监测系统及其技术架构设计,并从信息通信、负荷识别和数据挖掘等方面分析论述该系统的实现与应用技术方案。
With the development of Global Energy Internet (GEI),the research of data interaction and information mining for Smart Grid plays more important roles.Non-intrusive load monitoring (NILM) can be utilized to mine customers’ load status and has attracted many attentions in the field of intelligent power utilization.In this paper,a NILM system and its technology architecture is proposed to solve the problems of utility-customers interaction and deep excavation in customer information.Finally,the implementation and application of this system is analyzed in terms of the information communication,load identification and data mining.
作者
孙毅
崔灿
张璐
郝建红
崔高颖
SUN Yi;CUI Can;ZHANG Lu;HAO Jian-hong;CUI Gao-ying(School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China;Management Training Center of State Grid Jibei Electric Power Co., Beijing 102401, China;State Grid Jiangsu Electric Power Research Institute, Nanjing 210003, China)
出处
《电力科学与技术学报》
CAS
北大核心
2019年第2期155-160,共6页
Journal of Electric Power Science And Technology
基金
国家重点研发计划(2016YFB0901104)
关键词
能源互联网
智能用电
非侵入式负荷监测数据挖掘
global energy internet (GEI)
intelligent power utilization
non-intrusive load monitoring (NILM) data mining
