E3S Web of Conferences (Jan 2018)

Design of An Intelligent Hierarchical System for Fingerprint Management of Electricity Loads Based on Operating Characteristics of Household Appliances

  • Tan Zhukui,
  • Cheng Lefeng,
  • Ding Chao,
  • Xu Weifeng,
  • Li Zhengjia,
  • Zhao Lijin,
  • Xu Guangyu,
  • Yuan Xufeng,
  • Liu Bin,
  • Huang Wenjing

DOI
https://doi.org/10.1051/e3sconf/20185304007
Journal volume & issue
Vol. 53
p. 04007

Abstract

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In order to facilitate the active identification capability of various types of electrical equipment, so as to enhance the functions such as the behavioural analysis and optimization control of electricity utilization in an automatic demand side management (DSM) system. A definition is given on load fingerprint based on operating characteristics of household appliances, as well as its architecture. In addition, based on the cyber-physical systems (CPS) technology, a hierarchical technical framework for load fingerprint management is proposed. This framework is a two-layer electricity utilization load fingerprint management platform, including local management and cloud-based management. Finally, two hardware prototypes are developed, including a socket-type smart collection terminal and an intelligent interactive concentrator with multiple communication technologies, which can provide strong hardware support for the realization of the hierarchical technical framework proposed in this paper.