A Day-ahead Energy Optimization Management Method for Electric Vehicle Charging Station Based on Interactive Energy Mechanism

In allusion to the energy optimization management of photovoltaic (abbr. PV) charging station, most of the existing studies take the power grid as the principal part and the characteristics of the producer and consumer processed by photovoltaic charging stations are less considered. For this reason, combining with the transactive energy mechanism a day-ahead energy optimization management method for electric vehicle (abbr. EV) charging station containing PV generation was proposed. Firstly, under the premise of preliminarily ensuring the secure and stable operation of distribution network, an electric energy distributed trading model, in which the uncertainty of PV power was taken into account, for charging station was established. Secondly, by use of Lagrange decomposition principle and the subgradient method the established model was solved and the day-ahead electric energy plan was obtained, so that the energy optimization sharing among EV charging stations and the onsite accommodation of renewable energy could be realized, meanwhile, the information privacy of charging stations was protected. Finally, by means of analysis on examples both rationality and validity of the established model were verified.