A distributed anytime algorithm for real-time EV charging congestion control

A massive introduction of Electric Vehicles (EVs) will cause considerable load increase, and without proper control, can lead to congestion problems in the distribution of power. EV charging congestion control is the ability to control the EVs' charging rate to avoid the overloading of distribution grid elements while optimizing the use of the available infrastructure. We propose the implementation of a distributed anytime algorithm for real-time congestion control of EV charging in distribution feeders. The problem is formulated as a network utility maximization problem. An iterative distributed solution algorithm with feasible iterates is investigated. This paper shows the formulation of the proposed solution approach and also the formulation of the state-of-the-art dual decomposition solution. The resulting algorithms for the former approaches are evaluated under static and dynamic conditions. The results demonstrate that the proposed algorithm remains stable and retains its anytime property under dynamic conditions. Compared to the state-of-the-art solution, the proposed algorithm offers improved scalability and reliability for EV charging congestion control.