Early Prevention Method for Power System Instability

Evgenia Dmitrova, Martin Lindholm Wittrock, Hjörtur Jóhannsson, Arne Hejde Nielsen

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    Abstract

    This paper presents a method to determine suitable countermeasures against emerging aperiodic small disturbance rotor angle (ASD) instability. The method utilizes stability indicators, computed in real time, to define a criterion for ASD stability. Sensitivities of these stability i ndicators are then determined and used to identify the most in fl uential nodes for counter measures. To increase the computational speed, only nodes visited by a self-propagating graph, rooted at the vulnerable generator, will have their sensitivities calculated. The steady state voltages after a given counter measure are then determined, using a grid transformation coefficient (GTC) and a numerical, iterative solution to an equation system. The stability criteriacan then be assessed to evaluate the sufficiency of a suggested counter measure. The method is demonstrated on a synthetic 8-bus network and a 464-bus model of the Western Denm ark transmission grid. The method successfully demonstrates its ability to efficiently identify and evaluate counter measures for a large, practical system.
    Original languageEnglish
    JournalIEEE Transactions on Power Systems
    Volume30
    Issue number4
    Pages (from-to)1784-1792
    Number of pages9
    ISSN0885-8950
    DOIs
    Publication statusPublished - 2015

    Keywords

    • Power system control
    • Power System Security
    • Power system simulation
    • Power system stability

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    • SOSPO: Secure Operation of Sustainable Power Systems

      Østergaard, J. (Project Manager), Jóhannsson, H. (Project Manager), Nielsen, A. H. (Project Participant), Garcia-Valle, R. (Project Participant), Yang, G. (Project Participant), Lind, M. (Project Participant), Blanke, M. (Project Participant), Weckesser, T. (PhD Student), Wittrock, M. L. (PhD Student), Møller, J. G. (PhD Student), Perez, A. (PhD Student), Pedersen, A. S. (PhD Student) & Zhang, X. (Project Participant)

      01/01/201231/03/2016

      Project: Research

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