The Application of Vector Fitting to Eigenvalue-based Harmonic Stability Analysis

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Abstract

Participation factor analysis is an interesting feature of the eigenvalue-based stability analysis in a power system, which enables the developers to identify the problematic elements in a multi-vendor project like in an offshore wind power plant. However, this method needs a full state space model of the elements that is not always possible to have in a competitive world due to confidentiality. In this paper, by using an identification method, the state space models for power converters are extracted from the provided data by the suppliers. Some uncertainties in the identification process are also discussed and solutions are proposed, and in the end the results are verified by time domain simulations for linear and nonlinear cases with different complexities, no matter which domain (phase or dq) is used.
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Participation factor analysis is an interesting feature of the eigenvalue-based stability analysis in a power system, which enables the developers to identify the problematic elements in a multi-vendor project like in an offshore wind power plant. However, this method needs a full state space model of the elements that is not always possible to have in a competitive world due to confidentiality. In this paper, by using an identification method, the state space models for power converters are extracted from the provided data by the suppliers. Some uncertainties in the identification process are also discussed and solutions are proposed, and in the end the results are verified by time domain simulations for linear and nonlinear cases with different complexities, no matter which domain (phase or dq) is used.
Original languageEnglish
JournalI E E E Journal of Emerging and Selected Topics in Power Electronics
Volume5
Issue number4
Pages (from-to)1487 - 1498
Number of pages12
ISSN2168-6777
DOI
Publication statusPublished - Dec 2017
Publication categoryResearch
Peer-reviewedYes

    Research areas

  • Eigenvalue analysis, Harmonic Stability, Matrix Fitting, Participation Factor Analysis, Vector Fitting

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