Efficient identification of critical load model parameters affecting transient stability

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    In this paper, an efficient sensitivity analysis (SA)
    technique is implemented to identify critical load model
    parameters affecting transient stability of a power system.
    Transient stability is becoming more crucial in modern power
    system due to the adoption of deregulated market structure and
    increasing penetration level of renewable generation. Research
    has revealed that power system loads have a significant influence
    on transient stability. Ranking of critical load model parameters
    ensures accurate power system simulation results with less efforts
    and resources been invested in building load models. The ranking
    has been made for different loading conditions in order to make
    the ranking applicable for most of the time. Different types of
    load models have been applied to investigate their influence on
    transient stability. All simulations have been illustrated using a
    modified version of the 68 bus NETS-NYPS test system. The
    results revealed the important load model parameters and
    important loads.
    Original languageEnglish
    Title of host publication11th Mediterranean Conference on Power Generation, Transmission Distribution and Energy Conversion, Medpower 2018
    Publication statusPublished - 15 Nov 2018
    Event11th Mediterranean Conference on Power Generation, Transmission Distribution and Energy Conversion - Dubrovnik, Croatia, Dubrovnik, Croatia
    Duration: 12 Nov 201815 Nov 2018

    Conference

    Conference11th Mediterranean Conference on Power Generation, Transmission Distribution and Energy Conversion
    Abbreviated titleMedpower
    Country/TerritoryCroatia
    CityDubrovnik
    Period12/11/1815/11/18

    Keywords

    • computational efficiency
    • sensitivity analysis
    • transient stability
    • load model
    • uncertainty

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