A Memory-Efficient Parallelizable Method for Computation of Thévenin Equivalents Used in Real-Time Stability Assessment

Christina Hildebrandt Luthje Jorgensen*, Jakob Glarbo Moller, Stefan Sommer, Hjortur Johannsson

*Corresponding author for this work
    2 Citations (Scopus)

    Abstract

    This paper introduces a factor-solve method that efficiently computes Thévenin equivalents for all buses in the power system. A range of real-time stability assessment methods relies on Thévenin equivalents, and it is therefore essential that these methods can be determined fast and efficiently. The factor-solve method has runtime for computing Thévenin voltage that scales linearly with system size resulting in runtime of only a few milliseconds even for systems with several thousand buses. The computations only need the sparse admittance matrix for the power system and a sparse factorization resulting in low memory requirements, and furthermore, Thévenin impedances can be determined in parallel. The factor-solve method is compared to a reference method that uses coefficients for super-position to determine the Thévenin equivalents. The reference method is shown to have unsatisfactory runtime and complexity. The factor-solve method is tested, parallelized, and analyzed, which shows a considerable speedup in computations of Thévenin equivalents enabling them to be computed in real time.

    Original languageEnglish
    Article number8645670
    JournalIEEE Transactions on Power Systems
    Volume34
    Issue number4
    Pages (from-to)2675-2684
    Number of pages10
    ISSN0885-8950
    DOIs
    Publication statusPublished - 2019

    Keywords

    • Algorithms
    • power system analysis computing
    • real-time assessment
    • Thévenin equivalent

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