Environmentally Friendly Optimization of Coupled Power-Transportation Network considering Mixed Traffic Flow

The explosive growth of electric vehicles makes the deep coupling between the power distribution network and the urban transportation network, in which the mixed flow consisting of electric vehicles and conventional gasoline vehicles exposes the coupled network to operational problems of congestion and carbon emission overruns. Considering this, this paper constructs an environmentally friendly oriented optimization model for coupled power and transportation networks. Specifically, the mixed flow in a coupled network is considered, the charging price is optimized to guide the charging behavior of electric vehicle users, and the carbon emission cost is adopted to schedule the routes of gasoline vehicles. To solve the optimization model of the coupled network, an accelerated Gauss-Seidel algorithm is designed to obtain the equilibrium state of the entire system, the optimization problems of both networks are solved in an iterative manner and eventually converge to the equilibrium state. A coupled power and transportation network consisting of a modified IEEE-33 bus distribution network and a 20-link transportation network is conducted as a case study, and the impact of charging prices and carbon emissions on the operational strategies of coupled networks is analyzed. The effectiveness of the proposed environmentally friendly oriented optimization model in promoting the cost reduction and flow equilibrium of the coupled network is verified.