Title
Authors: Yasser Wehbe, Lingling Fan
Publication date: 2012/9/9
Conference name: North American Power Symposium (NAPS), 2012
Link: UKF based estimation of synchronous generator electromechanical parameters from phasor measurements
Abstract:
The paper proposes an Unscented Kalman Filter (UKF)-based algorithm to
estimate the electromechanical parameters and states of synchronous
machines (rotor angle, q-axis reactance, inertia, damping and mechanical
power). The algorithm uses observations or measurements available at
the output terminal of the machine polluted by colored noise. Testing of
the algorithm was conducted against a model of the same complexity and a
model of a higher complexity. The contribution of this paper is
twofold: 1) the algorithm is able to estimate electromechanical
parameters such as inertia H and damping D which have not been
investigated in other machine estimation papers. Modeling error is
modeled as colored noise to enhance the estimation capability; and 2) a
dual UKF filter is set up to carry out the estimation where the
estimator of q-axis reactance is separated from the other states and
parameters. Such set up solves the difficulty of UKF based estimation.
Two case studies demonstrate the feasibility of the estimation.
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