SUMMARYThis paper proposes a new method of estimating accurately the modal damping of a weakly damped electromechanical oscillation in power systems. The proposed method is based on a whitening filter (finite impulse response filter) to estimate the modal damping from the system response and a regression model to express the relation between the modal damping and system state variables, such as the active and reactive power outputs of generators. The feature of the method is that an optimal order of the whitening filter is determined so as to minimize the error of the linear regression model. A simulation study using the IEEJ EAST 10 machine model shows that the proposed method is effective for accurate estimation of weakly damped oscillation modes. C⃝

SUMMARY This paper proposes a new method of estimating accurately the modal damping of a weakly damped electromechanical oscillation in power systems. The proposed method is based on a whitening filter (finite impulse response filter) to estimate the modal damping from the system response and a regression model to express the relation between the modal damping and system state variables, such as the active and reactive power outputs of generators. The feature of the method is that an optimal order of the whitening filter is determined so as to minimize the error of the linear regression model. A simulation study using the IEEJ EAST 10 machine model shows that the proposed method is effective for accurate estimation of weakly damped oscillation modes.

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