摘要
电力系统采集的丰富实时数据包含系统模型的复杂性和不确定性,从这些数据中挖掘和融合出一个或系列普适量来检测系统的故障或稳定性至关重要。文章分析了小波熵(Wavelet Entropy)在电力系统故障检测与判别中应用的可行性,探讨了基于小波分析理论的小波熵概念,提出了两种小波熵的定义和计算方法,仿真验证了小波熵可以用在输电线路的故障检测中,探讨了小波熵理论在电力系统故障检测与判别、系统故障分类等应用中的前景。
The real-time data gathering in power system contain the complexity and uncertainty of system model and it is very important to mine and fuse one or a series of universal applicable quantities from these data to detect the fault or stability of the system. Here, the feasibility of applying wavelet entropy to power system fault detection and judgment is analyzed. The concept of wavelet entropy based on wavelet analysis theory is researched and the definitions of two kinds of wavelet entropy and corresponding calculation methods are put forward. It is verified by simulation results that the wavelet entropy can be used in fault detection of transmission line, and the prospects of applying wavelet entropy to power system fault detection, judgment and fault classification are discussed.
出处
《电网技术》
EI
CSCD
北大核心
2004年第21期17-21,共5页
Power System Technology
基金
国家自然科学基金资助项目(59977019
50407009)
四川省应用基础研究项目(02GY029-039)~~
关键词
电力系统
时频分析
小波变换
小波熵
故障检测
Computational complexity
Computer simulation
Electric fault currents
Electric lines
Entropy
Frequencies
Wavelet transforms
