Economic-Emission Coordinated Operation of Transportation-Microgrid Coupled System Based on Dynamic User Equilibrium

Booming in electric vehicles and the progress of dynamic wireless charging are deepening the interdependence of transportation networks (TNs) and microgrids (MGs). An imperative exists for a framework to coordinate dynamic traffic assignment (DTA) of the TN and optimal scheduling of MGs. Considering the simultaneous route-and-departure-time choice dynamic user equilibrium (DUE), this paper presents a noncooperative framework targeting the economic-emission coordinated operation of the transportation-microgrid coupled system. This framework is a Nash-Stackelberg-Nash game, where the leader problem is an economic-emission scheduling model of MGs and the follower problem is a DUE model of DTA for the TN. The best response algorithm is adopted to solve this framework. The DUE model is converted into an equivalent fixed-point problem, while the economic-emission scheduling model of each MG is reformulated as a multi-objective mixed-integer nonlinear program (MOMINLP). Moreover, we develop an alternating operator evolutionary algorithm (AOEA) to handle this MOMINLP. Case studies demonstrate that the proposed framework enables the coupled system to operate synergistically and AOEA has a competitive performance.