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ARMA谱估计方法在电力系统低频振荡模式分析中的应用

Application of ARMA Power Spectral Analysis in Power System Low Frequency Oscillation Analysis
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摘要 应用ARMA谱估计算法分析电力系统低频振荡曲线,可从曲线中直接提取系统的特征根,进而计算电力系统低频振荡的频率、阻尼等模式参数。该算法与广域测量系统提供的电力系统实测动态响应相结合,避免了建模和确定参数的困难。分析计算表明,该算法具有较高的精度,适用于处理存在弱阻尼或负阻尼模式时由随机扰动激励的振荡过程。 Wide-area measurement system provides novel method to power system dynamic performance analysis,avoiding the difficulties of modelling and getting parameters.ARMA is an important modern power spectral analyze algorithm.An approach based on ARMA is proposed to analyze the low frequency oscillation trajectory of power system.The eigenvalue root can be calculated directly from the trajectory.Digital simulation shows that the approach can give good resolution and suitable analysis of weak or negative mode with random disturbance stimuli.
出处 《水电能源科学》 2006年第6期85-87,共3页 Water Resources and Power
关键词 ARMA 特征根 电力系统 低频振荡 阻尼 ARMA eigenvalue root power system low frequency oscillation damping
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