电网技术2017，Vol.41Issue(3)：931-937,7.DOI:10.13335/j.1000-3673.pst.2016.1257
基于负熵估计的居民用电负荷非侵入式分解算法
A Non-Intrusive Decomposition Algorithm for Resident Power Load Based on Negative Entropy Estimation
摘要
Abstract
Non-intrusive load monitoring is important to energyefficiency tracking and intelligent power. For non-intrusive load monitoring, load identification is of great importance. Therefore, a fast decomposition method of resident power load under non-intrusive monitoring mechanism is studied in this paper. Basedon characteristics of total load current signal mixed with load current signal of separate runtime, load decomposition problem is modeled as a blind source separation problem effectively. Firstly, the mixed current signal is whitened. Secondly, de-mixingmatrix is constructed. At last, resident power decomposition algorithm is formed based on negative entropy maximization criterion. An evaluation function is constructed to quantify decomposition result. Real sampling load data are used to verify effectiveness of the algorithm. Each current signal can be separated from mixed current signals accurately, that is, each power load of runtime can be obtained. According to similarity coefficient, load types can be determined to realize load identification.关键词
非侵入式负荷监测/负荷分解/居民负荷/负熵估计/盲源分离Key words
non-intrusive load monitoring/load decomposition/resident load/negative entropy estimation/blind source separation分类
信息技术与安全科学引用本文复制引用
武昕,王震..基于负熵估计的居民用电负荷非侵入式分解算法[J].电网技术,2017,41(3):931-937,7.基金项目
国家重点研发计划项目课题(2016YFB0901104)资助 （2016YFB0901104）
中央高校基本科研业务费专项资金资助项目(2016MS13). ProjectSupported by National Key Research and Development Program(2016YFB0901104) （2016MS13）
the Fundamental Research Funds for the Central Universities (2016MS13). （2016MS13）
