基于递归残差白度检验的机电模式估计验证

Zhengbin Cao, J. Pierre
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引用次数: 1

摘要

在电力系统中,实时获得可靠的机电模式估计是很有价值的。这要求系统已被正确建模。当假设模型与真实系统不匹配时,例如模型参数选择不仔细或电力系统发生意外变化时,模型就会变得不合适。因此,模型验证同样重要,因为它可以表明模型的有效性,从而表明模态估计的有效性。为了进行模型验证,本文提出了一种利用残差统计特性的递归白度检验方法。与传统的白度测试方法相比,该方法能够更好地实时跟踪模型的行为。在不同条件下的仿真模型上进行了试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electromechanical mode estimation validation using recursive residual whiteness testing
In a power system, it would be valuable to obtain reliable estimates of the electromechanical modes in real time. This requires that the system has been properly modeled. The model becomes inappropriate when there is a mismatch between the assumed model and the true system, e.g. when model parameters are not carefully chosen or when the power system experiences unexpected changes. Therefore, model validation is equally important for it can indicate the validity of the model, and thus, the modal estimation. To carry out model validation, this paper proposes a recursive whiteness testing method that exploits the statistical property of residuals. Compared to the conventional whiteness testing method, the new approach is better at tracking the model behavior in real time. Tests have been performed on simulation models under different conditions.
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