Quasi-real-time management of Electric Vehicles charging

• Methodology to manage EV charging considering the participation of aggregators in the markets and the grid technical restrictions.
• The proposed methodology includes two procedures, one to be used by the aggregators and the other by the DSO.
• The aggregator procedure allows minimizing the deviation between the energy bought in the market and the energy effectively consumed by EV.
• The procedure developed for the DSO allows it to manage the grid and solve operational problems that may appear by controlling EV charging.

This work presents a methodology to manage Electric Vehicles (EVs) charging in quasi-real-time, considering the participation of EV aggregators in electricity markets and the technical restrictions of the electricity grid components, controlled by the Distribution System Operator. Two methodologies are presented in this paper to manage EV charging, one to be used by the EV aggregators and the other by the Distribution System Operator (DSO). The methodology developed for the aggregator has as main objective the minimization of the deviation between the energy bought in the market and the energy consumed by EVs. The methodology developed for the DSO allows it to manage the grid and solve operational problems that may appear by controlling EVs charging. A method to generate a synthetic EV data set is used in this work, providing information about EV movement, including the periods when EVs are parked and their energy requirements. This data set is used afterwards to assess the performance of the algorithms developed to manage the EV charging in quasi-real-time.