Modern state estimation methods in power systems

JF Baalbergen, M Gibescu, L van der Sluis

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    9 Citations (Scopus)

    Abstract

    Abstract State estimation is an important tool for system operators. The state of the power system is defined by the voltage magnitudes and phase angles at all buses. The state estimator (SE) determines this state based on a set of redundant measurements. The classic steady-state estimator is widely used. Attempts to formulate a dynamic-state estimator have also been made. To speed up the computation, some authors have tried to formulate a distributed SE which can be computed using parallel processing. Recently it became possible to do very accurate synchronized phasor measurements. Now state-of-the-art SE are implemented using data from these measurements. This paper gives an overview of the power system state estimation theory and practise. It is intended to serve as starting point for developing new state estimation techniques.
    Original languageUndefined/Unknown
    Title of host publicationProceedings Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
    Editors s.n.
    Place of PublicationPiscataway
    PublisherIEEE Society
    Pages1-6
    Number of pages6
    ISBN (Print)978-1-4244-3811-2
    DOIs
    Publication statusPublished - 2009
    EventPower Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES, Seattle - Piscataway
    Duration: 15 Mar 200918 Mar 2009

    Publication series

    Name
    PublisherIEEE

    Conference

    ConferencePower Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES, Seattle
    Period15/03/0918/03/09

    Keywords

    • conference contrib. refereed
    • Conf.proc. > 3 pag

    Cite this

    Baalbergen, JF., Gibescu, M., & van der Sluis, L. (2009). Modern state estimation methods in power systems. In s.n. (Ed.), Proceedings Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES (pp. 1-6). IEEE Society. https://doi.org/doi:10.1109/PSCE.2009.4840003