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Algorithms for Nonconvex EV Charging Problems

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Due to the fast increasing number of electric vehicles (EVs) and the resulting stress on the electricity grid, smart charging algorithms are needed to prevent grid problems. EV charging problems have already been topic of research before, but the focus was mainly on convex objective functions. For nonconvex objectives, however, there is no efficient solution method available. However, such objectives occur when e.g. charging efficiency is taken into account. We show that this addition makes the problem NP-hard in general but a polynomial time algorithm still exists when the objective function is concave. Furthermore, an approximation algorithm is given with a performance that is bounded by the maximum difference between the given objective function and its convex envelope. Finally, we show how this algorithm can be applied to the EV charging problem.

Original languageEnglish
Title of host publication2025 IEEE Kiel PowerTech, PowerTech 2025
PublisherIEEE
Number of pages6
ISBN (Electronic)979-8-3315-4397-6
ISBN (Print)979-8-3315-4398-3
DOIs
Publication statusPublished - 29 Jun 2025
Event16th IEEE Kiel PowerTech, PowerTech 2025: Powering the Energy System Transformation - Kiel University , Kiel, Germany
Duration: 29 Jun 20253 Jul 2025
Conference number: 16
https://2025.ieee-powertech.org/

Publication series

NamePower Tech Conference
PublisherIEEE
Volume2025

Conference

Conference16th IEEE Kiel PowerTech, PowerTech 2025
Abbreviated titlePowerTech 2025
Country/TerritoryGermany
CityKiel
Period29/06/253/07/25
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • 2026 OA procedure
  • EV charging
  • non-convex
  • resource allocation problem
  • decentralized energy management

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