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基于明可夫斯基距离的家用负荷分类计量 被引量:13

Household Load Measurement by Classification Based on Minkowski Distance
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摘要 家用负荷分类计量可引导家庭用户合理用电,同时加强需求侧管理。考虑家用负荷暂态特征的独特性,提出了以暂态波形为特征量在明可夫斯基距离测度基础上识别家用负荷启停来分别计量其电量的方法。首先在识别前建立家用负荷模板库以作为识别比较的标准。然后将采集的波形与模板库中的波形进行匹配度的计算,根据匹配度的大小得到负荷启停时间。最后,依据其启停时间计量各负荷用电量。该方法简单易懂,实测数据验证了该方法的可行性与准确性。 The measurement by classification of household load can guide home users to use electricity reasonably,and strengthen the demand side management.Considering the special transient characteristic of household load,a method was proposed to recognize the time it turns on or off,and then measure the electricity of each load based on Minkowski distance used transient waveform as signature.Firstly,it set up a template library to recognize the comparative standard,and then to calculate the matching degree between the waveform acquired and in template library to determine the time when the loads open or close.At last,it measured the electricity of each load.The method is simple,easy to use,and the measured data has proved the method has high accuracy and probability.
作者 高云 杨洪耕
出处 《电测与仪表》 北大核心 2013年第5期86-90,共5页 Electrical Measurement & Instrumentation
关键词 非侵入式 智能电表 分类计量 明可夫斯基测度 匹配度 non-intrusive smart meter measurement by classification Minkowski measure matching degree
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  • 1冯丽,邱家驹.基于电力负荷模式分类的短期电力负荷预测[J].电网技术,2005,29(4):23-26. 被引量:33
  • 2国务院.节能减排十二五规划[EB/OL]Http://baike.haosou.corn/doe/4432955-4640825.html,2012-08-06/2014-09-01.
  • 3HART G W.Nonintrusive appliance load monitoring[J].Proceedings of the IEEE,1992,80(12):1870-1891.
  • 4LIANG J,NG S K K,KENDALL G,et al.Load signature study—part I:basic concept,structure,and methodology[J].IEEE Transactions on Power Delivery,2010,25(2):551-560.
  • 5张晓,张建文.基于整数规划的非侵入式电力负荷在线分解[J/OL].[2012].http://www.paper.edu.cn.
  • 6CHANG H H,CHEN K L,TSAI Y P,et al.A new measurement method for power signatures of nonintrusive demand monitoring and load identification[J].IEEE Transactions on Industry Applications,2012,48(2):764-771.
  • 7CHANG H H,LIN C L.A new method for load identification of nonintrusive energy management system in smart home[C]//e-Business Engineering(ICEBE),2010 IEEE 7th International Conference on.IEEE,2010:351-357.
  • 8MENG X,LIU Y,GAO X,et al.A new bio-inspired algorithm:chicken swarm optimization[M]//Advances in swarm intelligence.Springer International Publishing,2014:86-94.
  • 9李娜娜,何正友.主客观权重相结合的电能质量综合评估[J].电网技术,2009,33(6):55-61. 被引量:104
  • 10黎鹏,余贻鑫.非侵入式电力负荷在线分解[J].天津大学学报,2009,42(4):303-308. 被引量:43

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