期刊文献+

网络型电能质量监控系统设计 被引量:2

Design of a power quality monitoring and control system based on communication net
下载PDF
导出
摘要 分布式的网络型电能质量监控系统有着优良的性能,本文利用近年来发展迅速的嵌入式技术,采用自由软件搭建了一套低成本、高可靠性、高性能的网络型电能质量监控系统,系统采用模块化设计和总线式的接口方式,具有很强的兼容性和扩展性。文章详细介绍了该系统的设计思想以及各个层次的软硬件结构,分析了控制系统的实时性概念,并且针对uClinux嵌入式操作系统实时性较差的缺陷,利用RTAI(Real Time Application Interface)对uClinux的实时性进行了扩展,使uClinux可以应用于硬实时控制领域,拓宽了uClinux操作系统在控制领域中的应用范围。 The distributed power quality monitoring and control systems have many advantages. A distributed network power quality monitoring and control system which shows many merits in cost, reliability and performance is developed based on free software and embedded technology. The system is modularized and can be exchanged and extended easily. The paper presents the design principle and the structure of each functional layer in detail and analyzes some important conception in real-time control systems. RTAI( Real Time Application Interface)which enables uClinux to support hard real-time performance is used to improve the real-time capability for uClinux operation system and to strive for the popularization of uClinux in automation field.
出处 《电工电能新技术》 CSCD 北大核心 2006年第2期76-80,共5页 Advanced Technology of Electrical Engineering and Energy
关键词 电能质量监控系统 自由软件 硬实时 嵌入式系统 关系数据库 实时应用程序接口RTAI(Rela time application interface) power quality monitoring and control systems database RTAI free software hard real-time embedded system relational
  • 相关文献

参考文献5

二级参考文献27

  • 1林海雪.论电能质量标准[J].中国电力,1997,30(3):9-10. 被引量:60
  • 2Stones J, Collinson A. Power quality [J]. Power Engineering Journal, 2001, 15(2) : 58-64.
  • 3Dash P K, Mishra S, Salama M, et al.. Classification of power system disturbances using a fuzzy expert system and a Fourier linear combiner [J]. IEEE Trans. on Power Delivery, 2000, 15(2): 472-477.
  • 4Santoso S, Powers E J, Grady W M, et al. Power quality disturbance waveform recognition using wavelet-based neural classifier, partl: Theoretical foundation, Part 2: Application [J]. IEEE Trans. on Power Delivery, 2000, 15(1 ) :222-235.
  • 5Borras D, Castilla M, Moreno N, et al. Wavelet and neural structure: A new tool for diagnostic of power system disturbances [J]. IEEE Trans. on Industry Applications, 2001,37(1): 184-190.
  • 6Santoso S, Grady W M, Edward J, et al. Characterization of distribution power quality events with Fourier and wavelet transforms [J]. IEEE Trans. on Power Delivery, 2000, 15(1) : 247-254.
  • 7Stones J, Collinson A. Power quality [JJ. Power Engineering Journal, 2001, 15(2): 58-64.
  • 8Reid W E. Power quality issues-standards and guidelines[J] . IEEE Trans. on Industry Applications, 1996, 32(3) :625-632.
  • 9Ghosh A K, Lubkeman D L. The classification of power system disturbance waveforms using a neural network approach [J]. IEEE Trans. on Power Delivery, 1995, 10(1): 109-115.
  • 10Santoso S, Grady W M, Edward J, et al. Characterization of distribution power quality events with Fourier and wavelet transforms [J]. IEEE Trans. on Power Delivery, 2000, 15.

共引文献250

同被引文献15

引证文献2

二级引证文献15

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