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基于智能用电网络的负荷状态与类型在线辨识
引用本文:郭治远,李志勇,邵洁,黄婷,周欢,范帅,何光宇.基于智能用电网络的负荷状态与类型在线辨识[J].电力建设,2022,43(4):69-80.
作者姓名:郭治远  李志勇  邵洁  黄婷  周欢  范帅  何光宇
作者单位:1.电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 2002402.上海交通大学电子信息与电气工程学院,上海市 2002403.国网上海浦东供电公司张江科学城能源服务中心,上海市 2012104.国网上海市电力公司电力调度控制中心,上海市200122
基金项目:国家重点研发计划项目(2019YFE0122600);
摘    要:电器级负荷的实时信息辨识是实现负荷控制类需求响应以及用户侧自趋优运行的前提.为满足智能用电网络辨识后自动进行精准控制的应用需要,提出了电器级负荷状态与类型在线辨识技术,以期快速、准确且高可扩展地为智能用电网络的调控提供信息基础.智能用电网络的大量终端可提供电器级低频数据的实时测量结果.基于此,采用改进双边累积和分段算法...

关 键 词:智能用电网络  负荷状态  负荷类型  双边累积和  单分类
收稿时间:2021-10-14

Online Monitoring of Load States and Types Based on Smart Electric Appliance Network
GUO Zhiyuan,LI Zhiyong,SHAO Jie,HUANG Ting,ZHOU Huan,FAN Shuai,HE Guangyu.Online Monitoring of Load States and Types Based on Smart Electric Appliance Network[J].Electric Power Construction,2022,43(4):69-80.
Authors:GUO Zhiyuan  LI Zhiyong  SHAO Jie  HUANG Ting  ZHOU Huan  FAN Shuai  HE Guangyu
Abstract:Perceiving state and identity of real-time electrical load is the premise of refined energy management and demand response. To meet the automatic and precise control requirements of smart electric appliance network, the on-line identification technology of appliance-level load state and type is proposed. On the basis of real-time measurement and communication of multi-appliances, the state of load is extracted by improved CUSUM segmentation and hidden Markov model, and the single classification method SVDD is used to identify the electrical appliance type extensively. The accuracy, timeliness and extensive ability of the proposed methods are verified by constructing smart electric appliance network in residential and office buildings.
Keywords:smart electric appliance network                                                                                                                        load state                                                                                                                        load identity                                                                                                                        cumulative sum                                                                                                                        one-class classification
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