随着智能电表的普及，非侵入式负荷监测技术具备了软硬件应用平台，如何以需求响应管理为目标，构建有效的非侵入式负荷监测模式与协同方法，实现智能配用电系统的技术完善，是当前亟需解决的实际问题。申请人基于前期对非侵入式负荷聚类监测技术的探索成果，在本项目中从非侵入式负荷监测概率化模型与分解方法、集群负荷的分布式协同机制、需求响应和优化运行策略等三个方面开展需求响应模式下非侵入式负荷监测和运行优化的系统研究。具体包括：1）研究计及多特征不确定性的非侵入式监测负荷印记概率建模和增广方法，提出概率表征形式下非侵入式负荷分解模型与方法；2）研究考虑集群特性的非侵入式监测机制，提出分布式集群网络的非侵入式聚类监测模型与模式；3）研究基于非侵入式监测的需求响应及运行优化，提出需求响应虚拟代理策略和差异化主体适用的优化运行方法。本项目的研究成果将为非侵入式负荷监测技术在需求响应中的应用提供系统的解决方案。

With the wide applications of smart meters, non-intrusive load monitoring (NILM) technology has been equipped with valid software and hardware platforms. Since demand response management is promising in energy saving and auxiliary services, it is crucial important to establish effective non-intrusive load monitoring mode and collaborative method under demand response framework, to finally achieve the intelligent power distribution and consumption management. Based on the former studies on the non-intrusive load monitoring for a group of electrical appliances, the applicant will research on three aspects in this project, i.e. probabilistic model and decomposition approach of NILM, distributed coordination mechanism of grouped loads, and demand response and optimal operation strategies. Specifically, following contents will be addressed. 1) Considering the multi-feature uncertainties, study the probabilistic modelling and augmentation method of load signature, and propose corresponding NILM decomposition model and method. 2) Considering the characteristics of clustering, study the NILM mechanism and propose the distributed modelling approach for grouped loads. 3) Focusing on the NILM based demand response and operation optimization, propose the virtual agent strategy for demand response and the universal operation optimization for different stakeholders. The research results of this project will provide a systematic solution for the application of NILM technology in demand response.