GridShield: A Robust Fall-Back Control Mechanism for Congestion Management in Distribution Grids

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Abstract

The growing number of electric vehicles (EVs) in the low-voltage distribution grid increases the load and thereby the risk of overloading and damaging grid assets. Since energy management systems designed for controlling electric vehicle charging can fail, e.g. due to cyber attacks or failure of communication systems, a robust fall-back control mechanism is required to prevent congestion and overloading problems in the grid. This paper presents three variants of such fall-back control mechanisms and evaluates them using a simulation of a Dutch neighbourhood. Comparison of the three strategies with respect to power limit violations and energy not served to EVs shows that all strategies significantly reduce power limit violations, while the energy not served is less than 21% of the energy served in the base case without control. The AIAD (additive increase, additive decrease) and AIMD (additive increase, multiplicative decrease) strategies achieve similar reductions of total power limit violations, 84.1% and 84.6% respectively, while an optimized PID based controller performs considerably worse with 55.9%.
Original languageEnglish
Title of host publication2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)978-1-6654-8032-1
ISBN (Print)978-1-6654-8033-8
DOIs
Publication statusPublished - 28 Nov 2022
Event2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) - University of Novi Sad, Novi Sad, Serbia
Duration: 10 Oct 202212 Oct 2022

Conference

Conference2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Country/TerritorySerbia
CityNovi Sad
Period10/10/2212/10/22

Keywords

  • Low voltage
  • Additives
  • Protocols
  • Europe
  • Electric vehicle charging
  • Smart grids
  • Internet
  • 22/4 OA procedure

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