电网超谐波自适应变分辨率时频分析理论与快速检测方法

超谐波是伴随IGBT等电力电子器件大量应用而产生的2kHz-150kHz新型扰动，危害日盛，但现有分析检测方法的准确性、快速性不能兼顾，工程应用受阻。本项目提出一种自适应变分辨率时频分析新算法，创立超谐波时频参数快速检测方法，研究包括：①依据超谐波特征，构建时频聚集性能优良的新型自适应优化窗；②深化并突破线性时频分析算法从FFT、STFT、WT、ST到K-S分解的递进路线，创建覆盖谐波与超谐波频率范围的自适应变分辨率时频分析新算法，突破逆变换对窗函数无穷积分要求为1的桎梏；③建立窗函数优化、自适应抽样、干扰滤除与非特征信息剔除机制，大幅简化计算量，形成稳健的自适应变分辨率时频分析快速算法；④构建超谐波检测实验平台，测试验证理论成果的正确性。自适应变分辨率时频分析快速算法具有简洁、准确、易于DSP实现和工程应用等突出优点，有望形成复杂、宽频信号时频分析与快速检测应用的重要突破，应用前景广阔。

Superharmonic is a new type of disturbance with frequency from 2kHz to 150kHz, which is produced with the application of a large number of electronic devices, such as IGBT. The damage it caused is getting worse. However, the accuracy and rapidity of the existing detection methods can not be well balanced, which hinders their engineering applications. In this project, a new adaptive resolution time-frequency analysis algorithm is proposed to create a fast detection method for superharmonic time-frequency parameters. Specifically, i) a new adaptive optimized window function with excellent time-frequency concentration performance is constructed based on the features of superharmonic; ii) deepening and breaking through the progressive route of linear time-frequency analysis algorithms from FFT, STFT, WT, ST to K-S decomposition. Creating a new adaptive resolution time-frequency analysis algorithm covering the frequency range of harmonics and superharmonics. Breaking through the requirement that the infinite integral area of the window function is 1 in inverse transformation; iii) establishing the mechanisms of window function optimization, adaptive sampling, interference filtering and non-characteristic information culling. Reducing the computation cost greatly and forming the stable adaptive resolution time-frequency analysis algorithm; iv) constructing an experimental platform for superharmonic detection to test and verify the correctness of the theoretical results. Adaptive resolution time-frequency analysis fast algorithm has the outstanding advantages of simplicity, accuracy, easy DSP implementation and engineering application, which is expected to form an important breakthrough in complex, broadband signal time-frequency analysis and fast detection applications, and has a broad application prospect.