The Potential of Indicating Energy Flexibility Information by EV Users for Application in Energy Management Systems: a Dutch Case Study

This paper investigates the value of integrating Electric Vehicle flexibility information of users in an energy management system. The by the user approximated energy demand and departure time is used to schedule charging sessions upon arrival. The input provided by users is analyzed and real-world measurements are compared to three simulation cases to assess the value of the specified information for the energy management system. Although the information given by the users was far from perfect, the value for the operation of the energy management system is significant: in the case of combined PV power production and EV charging, a grid peak load reduction of 48% is achieved after taking into account user input compared to the period before doing so. When evaluating the measurements of the pilot period against a scenario without any form of control, the results show a mean grid power consumption decrease of 24% in the 10 hours with the highest grid load. The share of directly used PV energy to charge the EVs was increased from 23% to 42% throughout the whole period, with a maximum increase from 33% to 71% in June.