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Power system linear model selective identification by exploiting the Loewner interpolation method

机译:电力系统线性模型通过利用Loewner插值方法选择性识别

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This paper demonstrates the capabilities of the Loewner’s frequency interpolation method (LFIM) to extract the power system linear model in a selective-frequency range by employing the frequency response associated with inputs and outputs of the system. This is achieved taking advantage of the Loewner’s matrices that interpolate in frequency-domain the ratio between outputs and inputs. Thus, the state-space representation of the linear model is fitted providing parametric matrices, as the state matrix at one operating condition. Then, the small-signal analysis (SSA) can be addressed by computing the eigenvalues and mode-shape reproduction. Numerical results are attained after applying the proposed method to the well-known New England test system with 10 machines, 39 buses. For comparison purposes, the power system linear model is also obtained utilizing the Eigensystem realization algorithm (ERA), validating the proposition.
机译:本文通过采用与系统的输入和输出相关联的频率响应,展示了Loewner的频率插值方法(LFIM)的能力在选择频率范围内提取电力系统线性模型。这是利用Loewner的矩阵来实现的,该矩阵在输出和输入之间的频域中插入的比率。因此,线性模型的状态空间表示拟合提供参数矩阵,作为一个操作条件的状态矩阵。然后,可以通过计算特征值和模式形状再现来解决小信号分析(SSA)。在将建议的方法应用于具有10台机器的新英格兰测试系统的众所周知的新英格兰测试系统之后,实现了数值结果。为了比较目的,还利用Eigensystem实现算法(ERA)来获得电力系统线性模型,验证该命题。

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