Centralised distribution grid congestion management through EV charging control considering fairness and priority

Damiano Dreucci, Yunhe Yu, Gautham Ram Chandra Mouli, Aditya Shekhar and Pavol Bauer

Applied Energy, 2025, vol. 384, issue C, No S0306261925001473

Abstract: To tackle the potential grid overloading issue induced by excessive Electric Vehicles (EV) charging demand, a Low Voltage (LV) grid congestion management algorithm with three centralised EV charging management schemes is proposed in this study. The developed algorithm integrates grid information and aims at tackling the foreseen congestion issues by operating on the EV charging processes. This is done through linear programming (LP) or iterative calculations. While the first charging scheme aims at managing the congestion by only affecting the elements with the greatest influence on the congestion, the other two aim at ensuring impartiality towards all users and the overall energy transfer to the EVs, respectively. The simulated results are compared in terms of performance criteria such as grid impact, user satisfaction and fulfilment of charging energy demand. Overall, this study shows that the first scheme brings the best results from a grid perspective. On the other hand, the last scheme leads to competitive results from a grid point of view and the best overall results from a user perspective.

Keywords: Congestion management; PTDF; Egalitarian; Fairness; Priority; Electric vehicle (EV); Overload (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.apenergy.2025.125417

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