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Parameters identification for synchronous generator is one of a significant means to ensure the accuracy of power system stability analysis. This paper decouples the synchronous generator from the corresponding excitation controller and related power network by using the measured data from PMU. Subsequently, the parameters identification for synchronous generator with PMU data is formulated as an...
Parameter identification for excitation systems is a foundation for the power system stability analysis. This paper aims at on-line identifying the parameters of the excitation system with the field data obtained with PMU/WAMS. Firstly, the on-line parameters identification of the excitation systems is formulated as an optimization problem of an input-output system. In detail, the input is the PMU...
Parameter identification of excitation systems is of great importance for power system analysis, operation and control. In this paper, on-line parameter identification with PMU data is formulated as an optimization problem, which minimizes the exciter voltage error during a certain time. The errors are the differences between measured exciter voltage (field data) and simulated exciter voltage using...
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