摘要
针对以往电力系统谐波检测的常规小波分析方法中没有抗混叠措施而导致精度低、鲁棒性差等问题,采用新的优化设计标准设计了一种内插优化小波滤波器,以解决电力系统谐波检测中的小波混叠现象。这种滤波器结构可以同时兼顾信号保持与混叠抑制两方面因素,克服了常规小波滤波器设计时,因把信号的精确重建放在首位,而把混叠分量的抑制因素放在次要位置所带来的固有缺陷,从而可以有效消除小波混叠误差,有利于进行电力系统谐波信号分析,为电力系统谐波的精确检测提供了一种有效手段。数值试验和与常规小波分析方法相比较的结果表明,该方法具有广阔的应用前景。
Traditional wavelet methods provide no aliasing-reduced scheme that could result in low measurement precision and poor robustness. This paper proposes an optimal interpolation wavelet filter base on new optimal design criterions so as to solve the problem of wavelet aliasing in power system harmonic detection. By balancing signal preservation and aliasing reduction, the proposed wavelet filter improves traditional wavelet transform, which just considers only perfect reconstruction but not aliasing-reduction. The optimal wavelet filter can effectively reduce aliasing error in wavelet transform, which is favorable in power system harmonic analysis. Hence it provides a vigorous means for precise harmonic detection. Simulation results and comparison with traditional wavelet methods demonstrate the value of proposed method.
出处
《电力系统自动化》
EI
CSCD
北大核心
2005年第5期62-68,共7页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(60372001)。
