Gerenciamento de carregamento de veículos elétricos em estação pública usando controle consenso distribuído

Abstract

This dissertation aims to control and optimize the charging of multiple EVs in an electrical supply station, using the distributed consensus algorithm. The proposed algorithm uses the information exchanged between neighboring EVs to optimize the use of the station’s electrical power by reducing electrical losses during charging. The proposed algorithm makes use of the information exchanged between neighboring VEs to carry out the charging process efficiently. The distributed control, when compared to centralized and decentralized, is potentially more efficient and flexible with regard to computational cost and communication cost. The work demonstrates the scalability of the proposed method regarding the number of EV charging stations at the station of supply, the efficiency of the charging in terms of the use of power supply from the station and customer service and the adaptability of the model to random outputs and inputs of EVs. For that, three case studies are presented that aim to demonstrate the functionality of the applied method. The convergence of the consensus algorithm, the utilization of the used power in relation to the supplied power, the battery charging level through the SOC of the are evaluated. The results obtained show the adaptability and scalability of the algorithm, in addition to proving the effectiveness of applying the method in coordinating the efficient charging of VEs.