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Identification of exciter constants using a coherence function based weighted least squares approach

机译:使用基于相干函数的加权最小二乘法识别励磁常数

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摘要

Experience with generator exciter modeling at the Ta-Kuan pumped storage power plant in Taiwan is reported. To identify exciter parameters, frequency response data are first obtained by injecting wide bandwidth signals into the system. Then a modified weighted least squares (WLS) approach using a coherence function is developed to determine exciter constants. A novel feature of the proposed coherence function based WLS method is that it can eliminate measurement dependent inaccuracies by placing less weights on measurements that are more severely corrupted by noise. Based on the established excitation system model, computer simulations are performed to examine the dynamic responses of the generating unit under small and large disturbance conditions. Field test results are also provided.
机译:据报道,在台湾的塔宽抽水蓄能电站,发电机励磁机的建模经验十分丰富。为了识别激励器参数,首先通过将宽带信号注入系统获得频率响应数据。然后,开发了一种使用相干函数的改进的加权最小二乘(WLS)方法来确定激励器常数。所提出的基于相干函数的WLS方法的一个新颖特征是,它可以通过对受到噪声严重破坏的测量值施加较小的权重来消除与测量值有关的不准确性。基于已建立的励磁系统模型,进行计算机仿真以检查发电机组在大小扰动条件下的动态响应。还提供了现场测试结果。

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