Adaptive parameter estimation of power system dynamic model using modal information

Song Guo, Sean Norris, Janusz Bialek

Результат исследований: Вклад в журналСтатьярецензирование

31 Цитирования (Scopus)

Аннотация

A novel method for estimating parameters of a dynamic system model is presented using estimates of dynamic system modes (frequency and damping) obtained from wide area measurement systems (WAMS). The parameter estimation scheme is based on weighted least squares (WLS) method that utilizes sensitivities of the measured modal frequencies and damping to the parameters. The paper concentrates on estimating the values of generator inertias but the proposed methodology is general and can be used to identify other generator parameters such as damping coefficients. The methodology has been tested using a wide range of accuracy in the measured modes of oscillations. The results suggest that the methodology is capable of estimating accurately inertias and replicating the dynamic behavior of the power system. It has been shown that the damping measurements do not influence estimation of generator inertia. The method has overcome the problem of observability, when there were fewer measurements than the parameters to be estimated, by including the assumed values of parameters as pseudo-measurements.

Язык оригиналаАнглийский
Номер статьи6805671
Страницы (с-по)2854-2861
Число страниц8
ЖурналIEEE Transactions on Power Systems
Том29
Номер выпуска6
DOI
СостояниеОпубликовано - 1 нояб. 2014
Опубликовано для внешнего пользованияДа

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