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Optimal Signal Sele...
Optimal Signal Selection for Power System Ambient Mode Estimation Using a Prediction Error Criterion
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- Perić, Vedran S. (författare)
- KTH,Skolan för elektro- och systemteknik (EES)
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Bombois, Xavier (författare)
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- Vanfretti, Luigi, 1981- (författare)
- KTH,Skolan för elektro- och systemteknik (EES)
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2016
- 2016
- Engelska.
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Ingår i: IEEE Transactions on Power Systems. - : Institute of Electrical and Electronics Engineers (IEEE). - 0885-8950 .- 1558-0679. ; 31:4, s. 2621-2633
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Nyckelord
- Mode estimation
- mode meter
- PMU placement
- prediction error
- signal selection
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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