电力系统自动化2019，Vol.43Issue(4)：79-85,93,8.DOI:10.7500/AEPS20180403004
基于图信号处理的智能电表功率信号分解
Power Signal Disaggregation for Smart Meter Based on Graph Signal Processing
摘要
Abstract
With the large-scale deployment of smart meters, data analysis based on low frequency signals collected by electric meter has become a research hotspot.Therefore, a low-rate power signal disaggregation algorithm based on graph signal processing (GSP) is studied in the background of non-intrusive load monitoring.Firstly, the power signal disaggregation problem is defined as a minimization problem, the total graph variation based on graph shift matrix is introduced as a regularization term.Then, the optimization problem is solved in two steps, which are minimizing the regularization term to find the approximate solution with minimum variation, using SA algorithm to minimize the objective function and constraint interactively based on the approximate solution.Finally, the open-access REDD dataset is used to demonstrate the advantage of the proposed algorithm in classification accuracy, especially for low power and multi-state load.Compared with other algorithms, the proposed algorithm is less dependent on training data.关键词
非侵入式负荷监测/图信号处理/功率信号分解/正则项Key words
non-intrusive load monitoring/graph signal processing/power signal disaggregation/regularization term引用本文复制引用
祁兵,刘利亚,武昕,石坤,薛溟枫..基于图信号处理的智能电表功率信号分解[J].电力系统自动化,2019,43(4):79-85,93,8.基金项目
中央高校基本科研业务费专项资金资助项目(2018MS001) （2018MS001）
