摘要
首先给出了现有电力系统谐波分析算法中存在的一些问题, 然后详细分析了用加海宁窗的FFT算法精确求得电力系统频率的方法和基于Adaline神经元结构的谐波分析原理, 在此基础上结合加海宁窗的FFT算法和Adaline ANN算法的优点, 提出了一种用于电力系统谐波分析的FFT-Adaline算法。该算法消除了加海宁窗的FFT算法和Adaline ANN算法产生误差的主要因素,从而显著地提高了谐波分析的计算精度。文中给出了该算法用于谐波分析模拟计算的算例,计算结果表明:新算法在波形信号中存在系统频率波动和白噪声干扰的情况下依然具有非常高的精度,结合高速数字信号处理器(DSP)或高性能CPU使用,将有较大的实际意义。
In the paper, some problems of the current algorithms that are used to analyze the power system harmonics are pointed out. FFT-Adaline algorithm for analysis of power system harmonics is presented. FFT-Adaline algorithm combines the advantages of Adaline ANN algorithm with interpolated FFT algorithm with Hanning-window. The new algorithm eliminates the main error factor of interpolated FFT algorithm with Hanning-window and Adaline ANN algorithm, and therefore obviously improves the accuracy of harmonic analysis. The simulating result shows that the new algorithm can be applied to the precise analysis for power system harmonics. By aid of the high- speeded DSP and high-powered CPU, the FFT-Adaline algorithm is quite useful in industry applications.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2003年第9期67-70,共4页
Proceedings of the CSEE
