Coupled dispatching of regional integrated energy system under an electric-traffic environment considering user equilibrium theory

Abstract

With large-scale electric vehicles (EVs) connected to the distribution network, the charging demand of EVs aggravates the peak-to-valley difference, which brings massive pressure to the power system. How to environmentally optimize the system considering the features of EVs’ charging demand has become a mainstream issue. To tackle this challenge, a low carbon economic dispatch model for the integrated energy system is proposed under an electric-traffic environment based on user equilibrium (UE) theory. This model considers carbon emission and multiple energy demand responses. First, to optimize the spatio-temporal distribution of the EV charging demand, a semi-dynamic traffic assignment (SDTA) model is constructed. This model considers vehicle travel, road congestion, and the influence of traffic flow in one interval to guide EVs to select an optimal route. Then, for reducing the carbon emission and promoting the reliability of the integrated energy system, a ladder carbon trading model and a demand response model for three different types of loads are proposed. Finally, a co-optimization system of traffic network, distribution network, and natural gas network is employed to illustrate the validity of the proposed model. The proposed model is demonstrated on the regional integrated energy system (RIES). The simulation results show that the peak-to-valley difference can be obviously relieved by introducing the SDTA model. In the meantime, via reasonable dispatching of the carbon trading, demand response, and Vehicle-to-grid (V2G) service, the multiple energy demands can be alleviated, ensuring the low carbon and economical operation of the RIES.