基于采样频率自适应的高精度谐波分析软件算法

采样不同步产生的同步误差是造成频谱泄漏和影响谐波分析准确性、检测精度的重要原因。本文提出一种基于采样频率自适应技术的软件算法，通过采样数据计算得到信号较为准确的实际频率，并根据实际频率动态调整采样的时间间隔，实现采样频率的自适应，从而减少同步误差，降低频谱泄漏的影响。该软件算法实现简单，精度较高，对于频率变化较缓慢的电力信号能够明显地提高测量精度。仿真结果验证了算法的特性，给电力系统高精度谐波分析提供了一种有效的方法。

High Precision Harmonic Analysis Software Algorithm Base on Sampling Frequency Adaptive

Spectral leakage caused by synchronous error in no-synchronous sampling is an important reason, which reduces the accuracy of spectral analysis and harmonic measurement. Present software sampling frequency self-adaptive algorithm, which can obtain the actual signal frequency fairly accurate, and adjust sampling time interval based on the frequency calculated by software algorithm. Achieve the sampling frequency self-adaptive, can reduce synchronous error and the influence of spectral leakage. This algorithm can easy implement, and has high precision. It can improve the accuracy of spectral analysis and harmonic measurement for power system signal, whose frequency change is slow. Simulations indicate these characteristics of this algorithm, and will be a practical method in power system harmonic analysis.