Distribution network reconfiguration with aggregated electric vehicle charging strategy

With a higher level of electric vehicle load penetrated in the distribution network, reconfiguration could be employed to minimize energy losses. Based on a second-order conic programming formulation, an improved set of network radiality constraints is proposed using power-flow based network connectivity conditions. This proves to be a computationally more efficient method compared to the spanning tree constraints. To incorporate electric vehicle charging in the reconfiguration model, two aggregated charging strategies are proposed: the arbitrary delay and the peak-avoiding delay. The decision of delay hours is formulated as constraints and co-optimized into the reconfiguration model. Case study on the IEEE 33-bus system illustrates the performance of the proposed model and the effectiveness of the proposed charging strategy.