期刊文献+

基于非入侵式负荷小区用电设备监测技术 被引量:1

The Electrical Monitoring Technology Based on the Non-intrusive Load of the Communit
下载PDF
导出
摘要 加强用电设备能耗的监测是我国提高电能利用率、实现能源可持续发展、建设节约型社会的重要手段。通过对国内外用电设备监测技术和方法的研究,以及对几种常用用电设备识别方式、原理和优缺点的比较,提出了一种基于非入侵式负荷的谐波电流面积监测技术。采用该技术对小区用电设备进行Matlab仿真,并对仿真结果进行分析和验证。结果证明该技术能提高用电设备的识别精度和能耗监测效率,对减少小区经济损失、提高电力系统稳定性、实现能源可持续发展具有一定的意义。 Strengthening energy consumption detection of equipment used is essential to improve energy efficiency, achieve a sustainable energy development and to construct a conservation-oriented society. A literature review of the domestic and overseas studies on the monitoring method and technology of electrical equipment and the identification principle, the advantages and disad- vantages of several kinds of commonly used electrical equipment are analyzed. On this basis, a harmonic current area detection tech- nology based on non-intrusive load is proposed in this paper. A Matlab simulation of electricity equipment in a community proves that this technology can improve the precision of the equipment identification and efficiency of the energy consumption monitoring. As a result, this article is significant in improving the stability of the electrical power system, reducing the economic losses in the community and achieving sustainable development of the energy.
出处 《后勤工程学院学报》 2014年第1期75-78,共4页 Journal of Logistical Engineering University
关键词 非入侵式负荷 用电设备 监测技术 谐波电流面积 non-intrusive load electrical appliances monitoring technology harmonic current area
  • 相关文献

参考文献12

  • 1赵时,张建文,夏云忠,等.基于家用电器启动的非侵入式负荷识别算法的研究[J/OL].(2010--07-30)[2013-07-15].htrp://www.paper.edu.cn/releasepaper/eontent/201007-546.
  • 2Hart G W. Prototype nonintrusive appliance load monitor: Progress report 2[M]. New York, US: MIT Energy Laboratory, 1985 : 3-5.
  • 3Fihala H. Identification of multi-state appliances[R]. Finland: Technical Research Center of Finland ESPOO, 1987:12-15.
  • 4Moil H. Fuzzy in ference based identification of load characteristics[J]. IEEE International Symposium, 1996,1 (5) :621-624.
  • 5Hart G W. Minimum information estimation of structure[D]. Massachusetts, US: Department of Electrical Engineering and Computer Science of MIT, 1987.
  • 6Hart G W. Nonintrusive appliance load monitoring[J]. Proceedings of the IEEE, 1992,80(12) : 1870-1891.
  • 7Hart G W. Residential energy monitoring and computerized surveillance via utility power flows[J]. Technology and Society Magazine, 1989,8(2) : 12-16.
  • 8Steven D. Nonintrusive monitoring of electric loads[J]. Computer Applications in Power, 1999,12 (4) : 47-51.
  • 9牛卢璐,贾宏杰.一种适用于非侵入式负荷监测的暂态事件检测算法[J].电力系统自动化,2011,35(9):30-35. 被引量:103
  • 10刘遵义,郜洪亮,纪勇,管珊莲,王军强,王瑞宾.洗衣机电机负荷的建模研究[J].河南电力,2006,34(4):1-6. 被引量:2

二级参考文献16

  • 1倪海东,庚鸿.绿色照明控制技术综述[J].电源世界,2005(9):25-31. 被引量:5
  • 2刘遵义,郜洪亮,余晓鹏,纪勇.照明用电设备的负荷建模研究[J].河南电力,2005,33(4):1-6. 被引量:8
  • 3HART G W. Non intrusive appliance load monitoring[J]. Proceedings of IEEE, 1992, 80(12): 1870-1891.
  • 4STEVENS R, LEEB S B, NORFORD L K, et al. Nonintrusive load monitoring and diagnostics in power systems [J]. IEEE Trans on Instrumentation and Measurement, 2008, 57 (7) : 1445-1454.
  • 5EPRI. Commercial nonintrusive load monitoring system beta test results[R]. 1999.
  • 6LEEB S B. A conjoint pattern recognition approach to nonintrusive load monitoring[D]. Cambridge, MA, USA:Massachusetts Institute of Technology, 1993.
  • 7LEE K D. Electric load information system based on non- intrusive power monitoring[D]. Cambridge, MA, USA: Massachusetts Institute of Technology, 2003.
  • 8FULLER A E. Harmonic approaches to non-intrusive load diagnostics [ D ]. Cambridge, MA, USA: Massachusetts Institute of Technology, 2008.
  • 9SHAW S R. System identification techniques and modeling for nonintrusive load diagnostics[D]. Cambridge, MA, USA: Massachusetts Institute of Technology, 2000.
  • 10KHAN U A, LEEB S B, LEE M C. A multiprocessor for transient event detection[J]. IEEE Trans on Power Delivery, 1997, 12(1): 51-60.

共引文献110

同被引文献24

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部