Distributed Collaborative Optimization of Integrated Transportation-Power Energy Systems Considering Dynamic Wireless Charging

With the rapid advancement of transportation electrification, especially dynamic wireless charging technology, the interconnection between the transportation network and the power distribution network has become increasingly evident at both the informational and physical levels. Consequently, the emergence of integrated transportation-power energy systems has garnered considerable attention. It is urgent to realize a coordinated operation of the energy systems. In this paper, considering the elastic charging behavior and mileage limitation of electric vehicles, a modeling framework and corresponding solution algorithms are proposed to coordinate transportation and power distribution networks operation. In the transportation network, a traffic assignment model with the elastic charging demand and effective path generation models with the mileage limitation of electric vehicles are established to calculate the actual charging demand of electric vehicles and traffic flow distribution. In the power distribution network, an optimal power flow model based on second-order cone relaxation is established to calculate the power flow distribution and scheduling plans of generators. And then, based on the idea of alternating direction multiplier method, a distributed coordinated operation method and solution algorithm for the integrated transportation-power energy systems are proposed. Finally, a case study is performed to verify the effectiveness of the proposed model and algorithm.