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作 者:买亚龙 唐寅 李坚 孙佳宁 高翔[2] 许磊[2] MAI Yalong;TANG Ying;LI Jian;SUN Jianing;GAO Xiang;XU Lei(School of Mechanical and Electrical Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;UESTC-Guangxi Institute of Intelligent Manufacturing Technology,Liuzhou 545003,China)
机构地区:[1]电子科技大学机械与电气工程学院,四川成都611731 [2]电子科技大学广西智能制造产业技术研究院,广西柳州545003
出 处:《电子机械工程》2022年第5期23-27,共5页Electro-Mechanical Engineering
摘 要:为推动电力市场高质量发展,使用户获得很好的用电体验,有必要深入分析用户的用电行为和特征,而传统的电能监测已不能满足这一需求。为此,文中基于非接触式高频同步电力数据采集装置,设计了一种非侵入式负荷监测系统。通过离线建立负荷特征库并对模型进行训练,构建了一种非侵入式负荷在线监测系统。对电力数据采集装置发送给服务器的数据依次进行事件检测、特征提取后,再将这些数据输入模型进行负荷辨识。实验结果表明,该系统负荷识别的精确度较高,能够满足实际生活和工程的需求。In order to promote the high-quality development of electricity market and provide users with wonderful power consumption experience,it is necessary to deeply analyze the power consumption behavior and characteristics of users,but the traditional power monitoring can no longer meet this requirement.Therefore,a non-intrusive load monitoring system is designed in this paper based on the non-contact high-frequency synchronous power data acquisition device.A non-intrusive online load monitoring system is designed by building offline the load feature database and training the model.The data sent to the server by the power data acquisition device are sequentially tested for events,extracted for features and input to the model for load identification.The experimental results show that the load identification accuracy of this system is high,which can meet the needs of real life and engineering.
关 键 词:用电行为 同步电力数据采集装置 非侵入式负荷监测
分 类 号:TM932[电气工程—电力电子与电力传动]
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