A multi-agent based approach for simulating G2V and V2G charging strategies for large electric vehicle fleets

A simulation environment consisting of different tools for simulating vehicle traffic, charging activities, power generation and the electrical network, was established. Temperature dependency of vehicle consumption and charging losses were implemented. Based on cumulative values of charging power from aggregated charging locations, defined power limits and power generation, a charging algorithm was developed, which enables the allocation of charging power to individual vehicles as a function of their state-of-charge. The simulation environment including the charging controller provides a platform for testing various charging algorithms with multi-agent based approaches.