4.7 Article

Impact of cost-based smart electric vehicle charging on urban low voltage power distribution networks

Journal

SUSTAINABLE ENERGY GRIDS & NETWORKS
Volume 35, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.segan.2023.101085

Keywords

Electric vehicle; Low voltage; Power distribution network; Grid impact; Cost-based smart charging; Monte-Carlo simulation

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This paper introduces a probabilistic modelling approach to analyze the impact of various cost-based EV charging strategies on the power distribution network (PDN) using smart meter data and an agent-based EV simulator. The study finds that EV adoption poses challenges related to cable and transformer overloading in the low voltage distribution network (LVDN), with varying impacts across different LVDN areas and charging scenarios. Time-of-use (ToU)-based and single-day cost-minimized charging can be beneficial for LVDNs with moderate EV adoption rates, whereas multiple-day optimization can lead to severe congestion. The study highlights the importance of preventing charging synchronization and the potential implications of cost-based smart charging on the PDN.
This paper introduces a probabilistic modelling approach, based on smart meter data and a novel agent-based electric vehicle (EV) simulator, to analyse the impact of various cost-based EV charging strategies on the power distribution network (PDN). We investigate the effects of a 40% EV adoption on three parts of the low voltage distribution network (LVDN) of Frederiksberg, a densely urbanised municipality in Denmark. Our findings indicate that especially cable and transformer overloading poses a challenge. However, the impact of EVs varies significantly between each LVDN area and charging scenario. Across scenarios and LVDNs, the share of cables facing congestion ranges between 5% and 60%. It is also revealed, that time-of-use (ToU)-based and single-day cost-minimised charging could be beneficial for LVDNs with moderate EV adoption rates. In contrast, multiple-day optimisation will likely lead to severe congestion, as such strategies concentrate demand on a single day that would otherwise be distributed over several days, thus raising concerns on how to prevent it.The wider implications of our study are that, while initial concerns have mainly been focused on congestion caused by uncontrolled charging during peak hours, a shift towards cost-based smart charging driven by a growing awareness of time-dependent electricity prices, could result in a sharp increase in charging synchronisation with undesirable implications for the PDN.& COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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