Prony算法在电网故障分析中的应用

The Application of Prony Algorithm in the Fault Analysis of Power Grid

傅立叶算法能够在电力系统发生故障时较为准确地得到工频分量,但该算法存在频谱泄露现象,从而对故障信号不能够精确地分析。通过对Prony算法进行理论分析,搭建PSACD仿真模型并提取信号中工频分量,且与傅里叶算法进行对比可知,Prony算法可以精确检测到故障信号的相位、振幅、频率和衰减因子,相对于传统的信号分析方法如傅立叶算法,Prony算法在快速故障分析中具较好的应用前景。

Fourier algorithm can get more accurate frequency component when power system fault occurs. But Fourier transform could not be used to accurately analyze fault signal due to its leakage effects. In this paper, Prony algorithm is analyzed in theory,and an integral power system is built using simulation tool PSCAD,from which extracting power frequency,then compared with Fourier algorithm. The results show that Prony algorithm could accurately detect phases, amplitude, frequencies and decay factor of harmonic. Compared with traditional signal analysis methods such as Fourier algorithm,Prony algorithm has good prospects in rapid fault analysis.