CHARGING PRICING METHOD OF ELECTIC VEHICLE CONSIDERING COORDIRATIED OUTPUT OF RENEWABLE ENERGY

A charging pricing method for electric vehicles is proposed in a coupling framework of distribution network and urban transportation network. In this paper, a two-level optimization model for charging service charge of electric vehicles was established with the objective of minimizing the total social cost. The upper layer of the model was to solve the second-order cone problem of charging service fees (CSF) in the distribution network with wind power, and the lower level was a traffic assignment problem following the user equilibrium (UE) principle. Considering the uncertainty of wind power output and OD traffic flow, a solution framework based on deep reinforcement learning was established to decouple and approximate solve the stochastic bilevel problem. The effectiveness of the model is verified by a 5-bus system and a city traffic power coupling network.