CAJ | 학술논문

基于实测受扰轨迹分析低频振荡问题已成为现代电力系统稳定性分析的重要手段。针对经验模态分解（EMD）方法分析低频振荡信号时，影响该方法精度的端点效应、频率漂移、模态混叠、阻尼损失等问题，分别提出基于ARMA模型的端点延拓法、B样条插值法、精细化复小波分析法及能量微差因子控制法加以解决。通过这些方法的混成应用，设计出一套改进的应用算法，有效提高了低频振荡信号非平稳特性参数检测精度。最后，通过EPRI-36仿真算例和RTDS实时算例测试，验证了所提算法检测复杂低频振荡信号模式信息具备很高的有效性和精度。
기우실측수우궤적분석저빈진탕문제이성위현대전력계통은정성분석적중요수단。침대경험모태분해（EMD）방법분석저빈진탕신호시，영향해방법정도적단점효응、빈솔표이、모태혼첩、조니손실등문제，분별제출기우ARMA모형적단점연탁법、B양조삽치법、정세화복소파분석법급능량미차인자공제법가이해결。통과저사방법적혼성응용，설계출일투개진적응용산법，유효제고료저빈진탕신호비평은특성삼수검측정도。최후，통과EPRI-36방진산례화RTDS실시산례측시，험증료소제산법검측복잡저빈진탕신호모식신식구비흔고적유효성화정도。
The characteristic analysis of low-frequency oscillation based on disturbed measured trajectory gradually becomes an important means of modern large grid stability analysis. When empirical mode decomposition (EMD) method is used to analyze the low-frequency oscillation signal, the problems, such as end effect, frequency drift, mode mixing and damping loss, will affect the analysis accuracy of the method. So, the ARMA model-based endpoint extension method, the B spline interpolation method, the fine complex wavelet analysis and the energy difference factor control method are proposed separately to solve the above problems. An improved algorithm is designed by the hybrid application of the above method, which effectively improves the accuracy of detecting signal non-stationary characteristics. Finally, through the testing and analysis of EPRI-36 simulation case and RTDS real-time case, it is verified that the proposed algorithm has high accuracy and effectiveness to detect the modes information of complex low-frequency oscillation signal.