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新型电能分项计量系统 被引量:4

A New System for Electric Power Subentry Measure
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摘要 大型公共建筑用电量居高不下且存在严重浪费的现象,其中一个重要原因就是局部用电量统计不清,责任不明,解决这一问题的办法是建立电能分项计量监管体系。本文设计了一个电能分项计量系统,该系统在不破坏供电线路结构的基础上,可以分别计量每个房间中每个用电设备消耗的电能。在识别用电设备的类型时,提出了一种波形因数法,通过仿真和实验验证了该方法的可行性和正确性。 At present,power consumption of large-scale public building is wasted seriously.One of the important reasons is that part power consumption is unclear and responsibility is indefinite.One method to solve this problem is to establish a supervisory system for electric power subentry measure.A new system for electric power subentry measure is designed in this article.The system can measure the power consumption of each electric equipment in every room separately without destroying the structure of power supply lines.A method based on waveform factor is put forward to distinguish the type of electric equipments.The feasibility and correctness are verified by simulink and experiments.
出处 《电测与仪表》 北大核心 2011年第4期63-65,76,共4页 Electrical Measurement & Instrumentation
关键词 用电设备 电能 分项计量 波形因数 electric equipment electric power subentry measure waveform factor
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  • 1李爱国.多粒子群协同优化算法[J].复旦学报(自然科学版),2004,43(5):923-925. 被引量:398
  • 2漆为民,程远楚,姬巧玲,蔡维由.PID型Elman网络及在动态系统辨识中的应用研究[J].控制与决策,2005,20(10):1197-1200. 被引量:11
  • 3吴德会.基于支持向量机的非线性动态系统辨识方法[J].系统仿真学报,2007,19(14):3169-3171. 被引量:13
  • 4Sjoberg J,Zhang Q H,Ljung L,et al.Nonlinear black-box modeling in system identification a unified overview[J].Automatica, 1995,31 (12) : 1691-1724.
  • 5Narendra K S,Parthasarathy Kldeutification and control of dynamical systems using neural networks[J].IEEE Transactions on Neural Networks, 1990,1( 1 ) :4-27.
  • 6Wang G J,Cheng C C.A fast multilayer neural network training algorithm based on the layer-by-layer optimizing procedures[J]. IEEE Transaction on Neural Networks,1996,7(4):768-775.
  • 7Roy A,Govil S,Miranda R. A neural network learning theory and a polynomial time RBF algorithm[J].IEEE Transaction on Neural Networks, 1997,8(6): 1301-1313.
  • 8Kennedy J,Eberhart R C.Particle swarm optimization[C]//Proc of IEEE International Conference on Neural Networks.Piscataway,New Jersey: IEEE Service C enter, 1995,4:1942-1948.
  • 9Elegbde C.Structural reliability assessment based on particles swarm optimization[J].Structural Safety,2005,27(10) : 171-186.
  • 10Pobinson J, Rahmat-Samii Y.Particle swarm optimization in electromagnetics[J].IEEE Transactions on Antennas and Propagation,2004, 52(2 ) : 397-406.

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  • 1张泽,刘军.外点罚函数法在建筑电能耗拆分中的应用[J].土木建筑与环境工程,2012,34(S1):146-148. 被引量:2
  • 2Akbari H, Konopacki S J. Application of an End-Use Disaggregation Algorithm for Obtaining Building Energy-Use Data [J]. Journal of Solar Energy Engineering, 1998,120:205-210.
  • 3Akbari H, Heinemeier K, Le Coniac P, et al. An Algorithm to Disaggre- gate Commercial Whole-Building Electric Hourly Load into End Uses[C] //Washington, DC: Proc. of ACEEE 1988 Summer Study on Energy Effi- ciency in Buildings, 1988,10:13-26.
  • 4Akbari H. Validation of an Algorithm to Disaggregate Whole-Building Hourly Electrical Load into End Uses[J]. Energy, 1995,20( 12): 1291-1301.
  • 5Laughman C, et.al. Power signature analysis [C]//Power and Energy Magazine, IEEE,2003,1 (2):56-63.
  • 6Marceau M L, Zmeureanu R. Nonintrusive load disaggregation com- puter program to estimate the energy consumption of major end uses in residential buildings[J]. Energy Conversion & Management,2000,41:1389- 1403.
  • 7Pihala H. Non-intrusive Appliance Load Monitoring System Based on a Modem kWh- Meter[R]. Espoo: VTT Publications 356,1998.
  • 8Norford L K, Leeb S B.Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection al- gorithms[J]. Energy and Buildings, 1996,24( 1 ):51-64.
  • 9Hart G.Nonintmsive appliance load monitoring[C]//Proceedings of the IEEE,1992,80(12):1870-1891.
  • 10Cole A, Albicki A. Algorithm for non-intrusive identification of resi- dential appliances[C]//Proceedings of the 1998 IEEE International Sympo- sium on Circuits and Systems. Monterey, CA, USA,1998,3:338-341.

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