Large-scale new energy grid brings plenty of influence to the power system, so research on wind turbine grid for power system stability has become a hot topic. Although the traditional small signal stability analysis method of the deterministic power system is relatively mature, the uncertainty of wind turbine output brings challenge to the stability analysis of the power system connected with large-scale wind turbines. The discrete point estimation method which is also the uncertain approximation theory is applied into the stability analysis of the power system involved a massive wind turbines in this paper, based on the traditional small signal stability analysis of deterministic power system. In order to verify the correctness of the method proposed in this paper, experiments of the New England 39 node 10 machine power system based on Monte Carlo simulation (MCS) were performed.


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    Titel :

    Probabilistic small signal stability analysis of power system with large scale wind power


    Beteiligte:
    Zhang Wei (Autor:in) / Dan Wei (Autor:in) / San Ming Liu (Autor:in) / Ming Li Yang (Autor:in) / San Bo Pan (Autor:in) / Xiao Wei Zhu (Autor:in) / Zhi Gang Pan (Autor:in)


    Erscheinungsdatum :

    01.08.2014


    Format / Umfang :

    695999 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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