基于DTW的多状态负荷的非侵入式负荷分解  

Non-intrusive load decomposition of multi-state load based on DTW

作　　者：裘星 尹仕红 张之涵 潘深琛 江敏丰 杨建明 郑建勇[2] QIU Xing;YIN Shihong;ZHANG Zhihan;PAN Shenchen;JIANG Minfeng;YANG Jianming;ZHENG Jianyong(China Southern Power Grid,Shenzhen Power Supply Co.,Ltd.,Shenzhen 440304,China;School of Electrical Engineering,Southeast University,Nanjing 210096,China)

机构地区：[1]中国南方电网深圳供电局有限公司,广东深圳440304 [2]东南大学电气工程学院,南京210096

出　　处：《电力需求侧管理》2022年第6期84-90,共7页Power Demand Side Management

基　　金：深圳供电局有限公司科技项目(090000KK52190185)。

摘　　要：非侵入式负荷监测(NILM)是大数据和人工智能的重要应用领域,能够显著提升电网的智能化水平和节能效果。长期以来在NILM中采用稳态特征进行负荷分解时,优点是可识别功率近似的负荷,但是不能处理多状态负荷。为此,采用滑动时间窗作为事件探测算法,提出一种基于动态时间规整(DTW)的多状态特征的NILM模型。该模型首先对多状态负荷进行特征提取,并建立多状态特征的稳态波形模板库;然后利用滑动时间窗算法提取待分解负荷的稳态波形特征,将提取的稳态波形运用DTW算法与稳态波形模板库中的负荷特征计算最小距离进行辨识。该方法能够显著提升稳态条件下多状态负荷的辨识效果。最后采用公共数据集REDD进行测试验证,证明了所提方法的有效性。Nonintrusive load monitoring(NILM)is an important application area of big data and artificial intelligence, which can significantly improve the intelligence level and energy-saving effect of the power grid. For a long time in NILM, the advantage when using steady-state characteristics for load decomposition is that it can identify loads with similar power, but it cannot handle multi-state loads. To this end, a sliding time window is used as an event detection algorithm, and a NILM model based on dynamic time warping(DTW)with multi-state features is proposed. Firstly,the model extracts the characteristics of the multi-state load, and establishes a steady-state waveform template library of the multistate characteristics. Then, it uses the sliding time window algorithm to extract the steady-state waveform characteristics of the load to be decomposed, and applies the DTW algorithm to the steady-state waveforms. The load characteristics in the state waveform template library calculate the minimum distance for identification. The proposed load decomposition model can significantly improve the decomposition ability of multi-state loads under steadystate characteristics. Lastly, the test based on the REDD dataset verifies the effectiveness of the method.

关 键 词：多状态负荷 非侵入式负荷监测 动态时间规整 稳态特征 滑动时间窗 

分 类 号：TM933[电气工程—电力电子与电力传动] TK018[动力工程及工程热物理]