Electric Vehicle (EV) charging management with dynamic distribution system tariff

Abstract

Electric Vehicles (EV) presents a unique opportunity for large-scale flexible demand, particularly when subject to intelligent charging. A smart charging algorithm is proposed here, with the dual objectives of minimizing charging costs and preventing grid congestion. EVs are charged according to individual user requirements while respecting the constraints of the local distribution grid. A day-ahead dynamic distribution system tariff (DT) scheme is proposed to avoid congestion on the local distribution system from the day-ahead planning perspective. Locational marginal pricing is used to determine the dynamic distribution system tariff based on predicted day-ahead spot prices and predicted charging behaviors. Case studies were carried out using distribution grids from the Danish island of Bornholm and the case studies demonstrate the efficacy of the proposed EV charging schedule algorithm