Online Prediction for Transmission Cascading Outages Induced by Ultrafast PEV Charging

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.