| 电能质量监测技术现状及发展 |
| |
| 引用本文： | 丁屹峰,程浩忠,占勇,孙毅斌,严健勇. 电能质量监测技术现状及发展[J]. 中国电力, 2004, 37(7): 16-19 |
| |
| 作者姓名： | 丁屹峰 程浩忠 占勇 孙毅斌 严健勇 |
| |
| 作者单位： | 1. 上海交通大学,电气工程系,上海,200030
2. 上海市区供电公司,上海,200080 |
| |
| 摘 要： | 阐述国内外在电能质量分析及其监测技术方面的研究成果，重点介绍电能质量的各种分析方法，主要有时域仿真、频域变换、小波变换、人工神经网络等方法。对各种监测技术进行系统的分类和评述，指出各自的原理、性能和特点。提出以现代通信技术和Intemet技术为核心的电能质量监测技术的发展趋势。
|
| 关 键 词： | 电力系统 电能质量 监测 时域仿真 频域变换 小波变换 人工神经网络 |
| 文章编号： | 1004-9649(2004)07-0016-04 |
| 修稿时间： | 2003-09-20 |
The current situation and development of power quality monitoring technology |
| |
| DING Yi-feng,CHENG Hao-zhong,ZHAN Yong,SUN Yi-bin,YAN Jian-yong. The current situation and development of power quality monitoring technology[J]. Electric Power, 2004, 37(7): 16-19 |
| |
| Authors: | DING Yi-feng CHENG Hao-zhong ZHAN Yong SUN Yi-bin YAN Jian-yong |
| |
| Affiliation: | DING Yi-feng,CHENG Hao-zhong,ZHAN Yong,SUN Yi-bin,YAN Jian-yong Department of Electrical Engineering,Shanghai Jiaotong Univ.,Shanghai 200030,China, Shanghai Urban Power Supply Company,Shanghai 200080,China |
| |
| Abstract: | The recent achievement in the field of power quality analysis and monitoring are summarized in this paper. Many analysismethods are presented in detail, such as time domain, frequency domain, wavelet transform and artificial neural network methods. The prin-ciples, characteristics, performances are introduced and the classification and assessment of the power quality monitoring technologyare also described. In the end, based on modern communication technology and Internet technology, the trend of the development of powerquality and its monitoring application in the future are presented. |
| |
| Keywords: | power quality monitoring technology analysis method Internet |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
