Congestion Management of Urban Power Grid Incorporating EV Load Spatial Flexibility

The rapid growth of electric vehicles (EVs) and fast charging stations in recent years provides a new type of spatial flexibility resource for the operation of the urban power network. Through the guidance of charging price incentives, the EV fast charging loads can be transferred among different charging stations, which provides an auxiliary measure to regulate substation load and power flow distribution. In this paper, a coordinated congestion management framework incorporating both the intrinsic network reconfiguration measure and the additional EV load spatial flexibility exploitation is proposed. The EV charging load distribution is described as a stochastic user equilibrium model, with its aggregated spatial flexibility estimated via tractable data-driven models. The power network reconfiguration problem is modeled as a mixed integer linear program. Case studies validate the effectiveness of the proposed framework and methods. The combination of network reconfiguration and EV load spatial flexibility is proven to yield better congestion management effects.