Traffic and Power Flow Optimization of Coupled Power-Transportation Networks Considering Environment-Aware User Behavior
Zhiao Cao, Yinghua Han, Qiang Zhao, Jinkuan Wang, Yuchun Li, Shuyi Zhao
Abstract
The rapid proliferation of electric vehicles (EVs) has promoted the process of electrified transportation, which deepened the interdependency of power and transportation networks. Considering the routing preference of EV travelers, this paper proposes an environment-aware dispatch model to coordinate coupled power-transportation networks toward higher economic benefits and renewable energy utilization. Specifically, discrete choice models with environmental factor are developed to characterize the user behavior. Based on the constructed user behavior models, an integrated optimal traffic-power flow (IOTPF) model is proposed and an environment-aware user equilibrium (EUE) can be achieved. A decentralized optimization algorithm based on Gauss-Seidel iterative process is developed to solve the equilibrium flows. Numerical results analyze the influence of environment-aware user behavior on the traveling cost and the utilization of renewable energy, the effectiveness of the IOTPF model in coordinating the optimal strategy of the coupled network is demonstrated.