Optimal operation for coupled transportation and power networks considering information propagation

Abstract

Abstract The growing number of electric vehicles (EVs) and the rapid development of wireless charging technology couple the transportation network (TN) and power distribution network (PDN). When local traffic events happen, transportation parameters are changed and drivers will change their driving behaviors accordingly. However, information spread by vehicle-to-vehicle communication takes time. Information asymmetry among EVs will break the original traffic equilibrium. Therefore, a transient state is caused between two steady states in TN. Meanwhile, the variation of traffic flow caused by information propagation will also influence the power flow in PDN. This paper investigates the interactive mechanism of coupled transportation network and power network during the transient and steady state. Considering road parameters, electricity price and information flow among vehicles, a model that combines traffic assignment model and clustered epidemiological differential equations is proposed to formulate spatio-temporal distribution of EVs. Distflow equations are employed and relaxed to a second-order cone problem. Then the locational marginal price (LMP) is formulated. To avoid massive parameters transfer between two networks, we use a best-response decomposition algorithm to iteratively calculate the electricity price and real-time traffic flow. The results of two coupled networks justify the necessity to take information propagation among vehicles into account to coordinate the operation of coupled TN and PDN.