To meet and adapt to the increasing multiple energy demands, smart city has become the trend of the urban development. Based on this background, an operation optimization framework of urban multi-energy systems is proposed, where the power distribution network, natural gas network and transportation network are coupled by integrated energy stations. With the aim of minimizing operation costs, the model optimizes the operation strategies of renewable energy generation, combined heat and power, gas boiler, power to gas, electric chiller, absorption chiller and fast charging facilities coordinately. This model considers the traffic assignment problem for both non-electric and electric vehicles in the transportation network. Due to the advanced communication technologies, the optimal routes (with minimum travel expense) for both traveling and charging can be identified and provided for all drivers, and this routing behavior would lead to the traffic equilibrium state. To describe the steady state distribution of traffic flow, a mixed user equilibrium model is established, where the route selections for nonelectric vehicle and charging navigations for electric vehicle are incorporated. To solve the proposed nonlinear model, convex relaxation is performed. Finally, the simulation results illustrate the effectiveness of the proposed model.
Keywords electric vehicle, multi-energy system, transportation network, mixed user equilibrium