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Modal Analysis of Power Systems Through Natural Excitation Technique

机译:利用自然激励技术进行电力系统模态分析

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The analysis of electromechanical oscillatory modes offers essential information on the stability of power systems. This paper investigates the use of the natural excitation technique (NExT) in conjunction with the eigensystem realization algorithm (ERA) for the modal analysis of power systems. The NExT-ERA is a multivariate method utilizing data that are measured from several locations in the power grid. The method is capable of utilizing synchronously measured data from a wide area monitoring system (WAMS) as well as unsynchronized measurements, such as measurements of individual relays' recorders. The performance of the NExT-ERA method is analyzed by applying it to data generated with test systems. The method is also applied to actual measurements received from the Nordic power system. The results indicate that the frequencies and damping ratios of electromechanical oscillatory modes can be analyzed by using the NExT-ERA method. Thus, the method is a promising identification technique for wide-area monitoring of electromechanical oscillations.
机译:机电振荡模式的分析提供了有关电力系统稳定性的基本信息。本文研究了将自然激励技术(NExT)与本征系统实现算法(ERA)结合用于电力系统模态分析的方法。 NExT-ERA是一种多变量方法,利用从电网中多个位置测得的数据。该方法能够利用来自广域监视系统(WAMS)的同步测量数据以及非同步测量,例如单个继电器记录器的测量。通过将NExT-ERA方法应用于测试系统生成的数据来分析其性能。该方法还适用于从北欧电力系统接收到的实际测量值。结果表明,利用NExT-ERA方法可以分析机电振荡模式的频率和阻尼比。因此,该方法是一种用于大范围监测机电振荡的有前途的识别技术。

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