With the development of charging technologies, the auto industry has envisioned the ability to recharge plug-in electric vehicles (PEV) at speeds comparable to traditional gas refueling. These ultrafast charging stations (UFCSs) could exert disruptive influences on the power grid. This article proposes a graph-computing-based cascading failure evolution (G-CFE) analysis to predict potential cascading failures induced by UFCS on power transmission systems. Fundamentally different from the existing cascading analysis tools, which are based on dc power flow or require a long-computation time, the proposed method greatly improves accuracy by using ac power flow, while guaranteeing the analyzing speed with graph parallel computing techniques. In addition, G-CFE can accurately capture the stochastic PEV charging patterns with Monte-Carlo simulation. Finally, G-CFE can be easily scaled to various network configurations through a graph-based scheme. The proposed method is validated on a provincial transmission system in China.


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    Title :

    Online Prediction for Transmission Cascading Outages Induced by Ultrafast PEV Charging


    Contributors:
    Mao, Daijiafan (author) / Yuan, Chen (author) / Gao, Ziran (author) / Wang, Jiankang (author) / Zhao, Ruili (author)


    Publication date :

    2019-12-01


    Size :

    4008061 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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