基于负荷高频特征图像化的非侵入式负荷辨识技术研究  

Non-intrusive Load Identification Technology Based on High Frequency Feature Pictorialization of Load

作　　者：林顺富 林屹峰 李毅 杨嘉钰 李东东 LIN Shunfu;LIN Yifeng;LI Yi;YANG Jiayu;LI Dongdong(College of Electrical Engineering,Shanghai University of Electric Power,Yangpu District,Shanghai 200090,China)

机构地区：[1]上海电力大学电气工程学院,上海市杨浦区200090

出　　处：《电网技术》2025年第3期1236-1245,共10页Power System Technology

基　　金：国家自然科学基金项目(51977127);上海市教育发展基金会和上海市教育委员会“曙光计划”(20SG52)。

摘　　要：随着智能电网高速建设发展,实现双向互动的智能用电逐渐成为电力系统主要发展目标之一,开展智能用电的关键在于获取用户侧的负荷信息,非侵入式负荷监测(non-intrusive load monitoring,NILM)技术在此起着关键作用。在基于电器开关事件检测的基础上,该文提出一种融合负荷高频特征的非侵入式负荷辨识方法。首先,提取负荷高频电流、电压波形,绘制U-I特性曲线灰度图并分别通过格拉姆角场、马尔可夫转移场算法将周期电流、周期瞬时有功功率转换为特征灰度图。其次,分别将灰度图放入图片的R通道、G通道、B通道中组成RGB图片。最后,利用ShuffleNetV2神经网络对特征RGB图片进行训练与辨识。实验验证了该方法能够在家庭电器种类复杂情况下,实现对居民用户负荷种类的有效辨识,且算法收敛速度较快,准确度高。With the rapid development of the smart grid,two-way interactive intelligent power utilization has gradually become one of the main development goals of power systems.The non-intrusive load monitoring(NILM)technology is crucial in obtaining the user-side load information for intelligent power utilization.Based on the appliance switching on/off event detection,this paper proposes a non-intrusive load identification method harmonizing with load high-frequency features.Firstly,it extracts load high-frequency current and voltage waveforms,plots the U-I characteristic curve as a gray-scale diagram,and converts the cycle current and the cycle instantaneous active power into characteristic gray-scale diagrams by Gramian Angular Field and Markov Transition Field algorithms.Secondly,it puts the three grayscale images into the R-channel,G-channel,and B-channel of the picture to form an RGB picture.Finally,it trains the feature RGB pictures using the ShuffleNetV2 neural network.The experiment verifies that the method can identify household appliances efficiently with a wide variety of appliances with fast convergence and high accuracy.

关 键 词：U-I特性曲线 周期瞬时有功功率 周期电流 格拉姆角场、马尔可夫转移场 ShuffleNetV2 

分 类 号：TM721[电气工程—电力系统及自动化]