Relation Between Electrical Grid Congestion and Bus Characteristics

Flin Verdaasdonk, Maria Vlasiou, Gerwin Hoogsteen, Johann L. Hurink

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

Abstract

Electrical grids are increasingly congested, which causes stability and safety risks. To get more insights in how congestion can be managed, this paper analyses whether bus characteristics exist that have a consistent influence on grid loading. To study this, a metric for quantifying bus influence on grid loading is introduced and applied in two case studies. The first case study investigates if there are characteristics that correlate with congestion consistently, regardless of grid topology. The results from this case study suggest that none of the evaluated characteristics consistently correlate with grid loading. These results imply that topology should be explicitly considered in congestion management. The second case study investigates the variance in the correlation between bus characteristics and influence, within a single topology, over a variety of conditions. The results of the second case study suggest that this correlation is robust to reasonable changes in bus loads.
Original languageEnglish
Title of host publication2024 IEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)979-8-3503-9042-1
DOIs
Publication statusPublished - 11 Feb 2025
Externally publishedYes
Event14th IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024 - Dubrovnik, Croatia
Duration: 14 Oct 202417 Oct 2024

Conference

Conference14th IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024
Abbreviated titleISGT EUROPE 2024
Country/TerritoryCroatia
CityDubrovnik
Period14/10/2417/10/24

Funding

This publication is part of the project ROBUST: Trustworthy AI-based Systems for Sustainable Growth with project number KICH3.LTP.20.006, which is (partly) financed by the Dutch Research Council (NWO), Industry and the Dutch Ministry of Economic Affairs and Climate Policy (EZK) under the program LTP KIC 2020-2023. All content represents the opinion of the authors, which is not necessarily shared or endorsed by their respective employers and/or sponsors.

FundersFunder number
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministerie van Economische Zaken en KlimaatLTP KIC 2020-2023

    Keywords

    • Congestion
    • Power Grids
    • Sensitivity Analysis

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