基于小波变换的电力系统谐波频率测量算法研究  

Research on Harmonic Frequency Measurement Algorithm of Power System Based on Wavelet Transform

作　　者：丁懿 DING Yi

机构地区：[1]内蒙古送变电有限责任公司,内蒙古呼和浩特010020

出　　处：《电力系统装备》2024年第9期31-33,共3页Electric Power System Equipment

摘　　要：电力系统的谐波频率测量是保障电力质量与系统稳定运行的关键环节。传统的谐波检测方法,如模拟带通或带阻滤波器,是基于傅立叶变换和瞬时无功功率理论的测量,虽然在特定条件下表现良好,但在实时跟踪与精度要求上仍存在不足。随着计算能力的提升和数学工具的发展,基于小波变换的方法在谐波分析中展现出独特的优势。文章对小波变换在谐波频率测量中的应用进行了深入研究,提出了一种实时跟踪算法,该算法能够有效识别和测量电力系统中的谐波频率。通过仿真实验验证,表明该算法可以在复杂电力环境下可以表现出较高的精度和可靠性。小波变换不仅可以提高谐波检测的准确性,还具备较强的抗干扰能力,为电力系统的谐波分析提供了一种更加有效、实时的解决方案。Harmonic frequency measurement of the power system is the key link to ensure the power quality and the stable operation of the system.Traditional harmonic detection methods such as simulated bandpass or band resistance filter,based on Fourier transform and instantaneous reactive power theory,perform well under specific conditions,but still have deficiencies in real-time tracking and accuracy requirements.With the improvement of computing power and the development of mathematical tools,the methods based on wavelet transform show their unique advantages in harmonic analysis.We study the application of wavelet transform in harmonic frequency measurement and propose a real-time tracking algorithm which can effectively identify and measure the harmonic frequency in the power system.Through simulation experiments,the algorithm shows high accuracy and reliability in complex power environment.The experimental results show that wavelet transform not only improves the accuracy of harmonic detection,but also has strong anti-interference ability,which provides a more effective and real-time solution for harmonic analysis of power system.

关 键 词：小波变换 电力系统 谐波频率 测量算法 

分 类 号：TM73[电气工程—电力系统及自动化]