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;通过故障录波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。
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.
出处
《电力系统自动化》
EI
CSCD
北大核心
2006年第21期61-65,共5页
Automation of Electric Power Systems
