用电负荷指纹管理的层次化系统设计

具备负荷特征识别功能的监控系统对实现电力需求侧的自主式、智能化管理至关重要。为解决非侵入式检测技术仅局限于既定设备的问题,促进各类用电设备的主动识别,以支撑自动需求侧管理体系下用电行为分析、用电优化控制功能。本文定义了基于家用电器运行特性的“负荷指纹”及其构成,并以信息物理融合系统为基础,提出负荷指纹管理的层次化技术架构,包括本地及云端两层用电负荷指纹管理平台。最后研制插座式智能采集终端、具备多通信技术的智能交互集中器,可为该技术架构的实现提供坚实的硬件支撑。

Hierarchical system design for dactylogram management of electricity use load

A monitoring system with load feature recognition is crucial to the realization of autonomic and intelligent management of power demand side. In order to solve the problem that nonintrusive detection technology is limited to established equipment, to promote the active recognition of all kinds of electrical equipment so that the functions of power consuming behavior analysis and power optimization control are supported in automatic demand side management system, load dactylogram and its composition based on operational characteristics of household appliances are defined. Based on cyber-physical system, a hierarchical technology structure for load dactylogram management is presented, which includes the double layer dactylogram management platform with a local system and a cloud server. Finally, intelligent gathering terminal with socket and intelligent interactive concentrator with multiple communication technologies are developed to provide strong support of hardware for the realization of the technical architecture proposed in this paper.