Controller design and measurement selection for dynamic load curtailment at a charging site

Jonatan Ralf Axel Klemets, Tim Unterluggauer, Bendik Nybakk Torsæter

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper proposes a control scheme that computes the maximum available power capacity for a charging site (CS) in real time without causing voltage or congestion issues in the distribution grid. The controller uses a measured variable consisting of one or multiple local measurements near or at the CS. As a result, the proposed control scheme can operate autonomously without the need for a central controller. A three-step method is developed to evaluate and select different measurements with their setpoints for the controller. Finally, a case study of a distribution grid is used to demonstrate the measurement selection method and to simulate the controller. Results show that the proposed framework can achieve near-optimal performance despite only relying on local measurements.
Original languageEnglish
Title of host publicationProceedings of 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)
Number of pages5
PublisherIEEE
Publication date2024
ISBN (Electronic)979-8-3503-9678-2
DOIs
Publication statusPublished - 2024
Event2023 IEEE PES Innovative Smart Grid Technologies Europe - Grenoble, France
Duration: 23 Oct 202326 Oct 2023

Conference

Conference2023 IEEE PES Innovative Smart Grid Technologies Europe
Country/TerritoryFrance
CityGrenoble
Period23/10/202326/10/2023

Keywords

  • Electric vehicle (EV)
  • Charging site (CS)
  • Active network management (ANM)
  • Optmial power flow (OPF)

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