Capacidade de hospedagem de veículos elétricos em redes de distribuição de BT/MT: uma nova metodologia de avaliação

Abstract

The subject of electric mobility has aroused great interest among researchers in recent years, being a actual topic under discussion as Electric Vehicles (EV) reach greater market share. Electric mobility, which is linked to the energy transition, experiences a transformation of concepts that starts with the consumption of fossil fuels and ends with zero carbon emissions. These changes correspond to the need for cleaner, decentralized, digitized energy delivery systems and services, as well as greater electrification of modes of transportation. In this context, this thesis proposes and implements a novel methodology for calculating the hosting capacity of EVs in low and medium voltage distribution systems through a case study. The carrying capacity of EVs is evaluated in the literature using load flow processing, which uses several criteria and methods for evaluation. On the one hand, deterministic methods produce a single number for EV hosting capability and ignore the uncertainties inherent in the allocation process. Stochastic methods, on the other hand, generate a probability distribution of hosting capabilities. The suggestion of a new methodology that combines deterministic and stochastic methods, takes into account several operational criteria, and can be used in low and medium voltage applications becomes more suitable and innovative. The results indicate that the distribution system’s EV hosting capacity varies with sector of the evaluated network. Loading can increase and alter the load curve considerably in the secondary distribution system’s downstream of the transformer, causing undervoltage and overload in the grid. The charging rate of transformers with EV input, on the other hand, can change the primary distribution system’s hosting capacity.