Optimal Signal Selection for Power System Ambient Mode Estimation Using a Prediction Error Criterion
2016 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 31, no 4, 2621-2633 p.Article in journal (Refereed) PublishedText
This paper formulates an optimality criterion for the selection of synchrophasor signals to be used in ambient mode estimators. This criterion, which is associated with each measured signal and each dominant mode, is defined as the asymptotic variance of the corresponding estimated mode damping ratio. The value of the criterion is computed directly from an estimated autoregressive moving average (ARMA) model. Because the online computation of the defined criterion (for each measured signal in the system) may be computationally expensive, a fast pre-selection method for initial signal ranking is formulated. The pre-selection method is used to effectively determine a set of the candidate signals for which the formal criterion is evaluated in a second stage. The methodology is illustrated using synthetic measurements from the KTH Nordic 32 and the IEEE 39-bus test systems.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. Vol. 31, no 4, 2621-2633 p.
Mode estimation, mode meter, PMU placement, prediction error, signal selection
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-188035DOI: 10.1109/TPWRS.2015.2477490ISI: 000375774200012ScopusID: 2-s2.0-84968724619OAI: oai:DiVA.org:kth-188035DiVA: diva2:943069
QC 201606272016-06-272016-06-032016-06-27Bibliographically approved