电力系统宽频振荡信号高可靠性检测研究OA

Aiming at the problem of multi-target oscillating signal detection in the range of 2.5 Hz～300 Hz in wideband measurement for novel power system,the design method of detection algorithm with high reliability(ex-tremely low false detection rate)as the core performance is studied.Adopting the windowed discrete-time Fourier transform(DTFT)detection algorithm,the optimization design of window function is studied deeply.Firstly,through theoretical analysis,the constraint conditions of high reliability detection on the spectral characteristics of window function are proposed,and the technical index of window function is defined,and the optimal selection cri-teria of window function is established.Secondly,based on the signal environment and performance requirements of broadband measurement signal detection,specific examples of window function optimization are given for sub-syn-chronous oscillation band(2.5 Hz～100 Hz)and high-frequency oscillation band(100 Hz～300 Hz)respectively.The simulation results show that the DTFT detection algorithm based on preference window is close to the expected design index,with high reliability and adaptability to complex signal environment,and has important engineering practical value in broadband measurement.