Smart charging of electric vehicles based on scheduling theory

Reducing energy related costs by better timing demand for power is a rapidly growing concept due to increased and more fluctuating energy prices. One way to achieve this is through smart charging of electric vehicles (EVs). In the present work, a python-based program has been developed based on scheduling theory and tailored to the specific objectives of charging at a long-term parking facility. Basic building blocks of the theory were assessed to explore the possibility of combining them into a useful model of the problem. The simulation yields example schedules where charging is restricted to night-time and no more EVs than necessary are charged simultaneously, without compromising the constraint of fully charged vehicles at predefined due dates.