Estimation of generator inertia available during a disturbance


P. Wall, F. González-Longatt, V. Terzija
This paper appears in: Power and Energy Society General Meeting, 2012 IEEE

On page(s): 1 Conference

Location : Trondheim

E-ISBN : 978-1-4244-8417-1

Print ISBN: 978-1-4244-8419-5

INSPEC Accession Number: 12243807

Digital Object Identifier: 10.1109/PTC.2011.6019414

Date of Current Version: 15 September 2011

Issue Date : 19-23 June 2011


This paper introduces a new digital signal processing algorithm for frequency and amplitude estimation based on Unscented Kalman Filter (UKF). The results of computer simulated and realistic synthetic data tests are presented. The initial parameters used during the tests were chosen carefully using an established parameter estimation method, the Self Tuning Least Square (STLS). It is concluded that the proposed algorithm is simple, efficient and has low computational demands compare to STLS which makes the UKF a very promising method in next generation of power quality monitoring devices.


Index Terms

Estimation , Frequency estimation , Kalman filters , Noise , Power quality , Power system dynamics , Signal processing algorithms 

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