This study aims to quantify the impact of uncontrolled charging of Electric Vehicles (EVs) on the low voltage distribution networks with increasing EV penetration levels. For this objective, key indicators are developed to show the magnitude, scale and duration of the impact on the distribution network. The disseminated results are based on the case study with actual data from the existing distribution networks. The findings of this paper can serve as a benchmark for determining the potential of smart EV charging algorithms and/or the extent of necessary infrastructural reinforcement that the grid operators must incorporate.
DC traction networks that supply power to trolleybuses, tramcars and trains can be simultaneously used to integrate fast-charging stations for Electric Vehicles (EVs). This strategy improves the traction grid utilization of urban transportation systems. In addition, it offers a potential solution to the increasing requirement of charging infrastructure due to proliferation of plug-in EVs and the associated impact on the existing distribution network. This paper suggests that the use of multi-port converter based integration of EV chargers with dc trolley-bus network can be a preferred solution in terms of defined efficiency boundary. A sensitivity analysis to charging power, substation distance and section length of overhead contact system is performed in comparison to the conventional two-port dc/dc converter based EV integration.
Smart-Charging of Electric Vehicles (EVs) is able to provide frequency regulation capacity services to the System Operator (SO) upon an automation generation control (AGC) signal. While the amount of available regulation capacity is offered in the Day-Ahead Market (DAM), there is high uncertainty on the actual amount of reserves that will be called in the Real-Time Market (RTM). This work focuses on aiding EV smartcharging to offer a consistent and reasonable amount of regulation capacity, taking into account the impact of potential future instantaneous called regulation reserves while also maintaining simplicity. The work also analyzes the results of different charger types with different characteristics and shows that they play an important role on the regulation provision. Finally, it has been shown that even though the regulation income is inevitably reduced (up to 66%), the Energy Management System (EMS) can still successfully charge the EVs and simultaneously provide regulation reserves with remuneration.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.