| 超高压电网故障录波数据自适应压缩新方法 |
| |
| 引用本文： | 乐全明,费铭薇,张沛超,郁惟镛,章启明,王忠民,周岚.超高压电网故障录波数据自适应压缩新方法[J].电力系统自动化,2006,30(21):61-65. |
| |
| 作者姓名： | 乐全明 费铭薇 张沛超 郁惟镛 章启明 王忠民 周岚 |
| |
| 作者单位： | 上海交通大学电子信息与电气工程学院,上海市,200240;上海市电力公司继保处,上海市,200122 |
| |
| 摘 要： | 综合分析了超高压电网变电站故障录波数据快速压缩传输的必要性,以及现有故障录波数 据压缩传输算法的优缺点.提出了基于信号奇异性检测原理的自适应小波去噪压缩算法,详细分析了各尺度上小波系数奇异点的匹配搜索过程和最大尺度层数自适应阈值选取方法;通过故障录渡信号频率与采样率的关系,确定出最大小波分解层数,然后在该分解层数上进行噪声白化检验,并对某一个信号奇异点进行奇异性指数计算,以确定出小波最优分解层数.最后通过大量真实故障录波数据编程仿真,验证了该压缩算法的高效性.
|
| 关 键 词： | 超高压电网 故障录波数据 提升小波 奇异性 数据压缩 |
| 收稿时间： | 2006-04-04 |
| 修稿时间： | 2006-04-042006-06-15 |
A Novel Self-adaptive Algorithm for Compressing Fault Recorded Data from the EHV Power Network |
| |
| YUE Quanming,FEI Mingwei,ZHANG Peichao,YU Weiyong,ZHANG Qiming,WANG Zhongmin,ZHOU Lan.A Novel Self-adaptive Algorithm for Compressing Fault Recorded Data from the EHV Power Network[J].Automation of Electric Power Systems,2006,30(21):61-65. |
| |
| Authors: | YUE Quanming FEI Mingwei ZHANG Peichao YU Weiyong ZHANG Qiming WANG Zhongmin ZHOU Lan |
| |
| Affiliation: | 1. Shanghai Jiaotong University, Shanghai 200240, China;2. Shanghai Electrical Power Company, Shanghai 200122, China |
| |
| Abstract: | The reasons for compressing and transmitting the fault recorded data in extra-high voltage (EHV) substations in time are given. The advantages and disadvantages of the traditional data compressing methods are analyzed. The novel self-adaptive data compressing method based on signal singularity is proposed. The matching search process of wavelet coefficient singularity in every wavelet scale and the self-adaptive threshold method of the maximum scale number are analyzed. The validity of the compressing method is proved by actual fault recorded data from the East China power network. |
| |
| Keywords: | EHV network fault recorded data lifting wavelet singularity data compression |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《电力系统自动化》浏览原始摘要信息 |
|
点击此处可从《电力系统自动化》下载全文 |
|
