Relation Between Electrical Grid Congestion and Bus Characteristics

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.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863286
Primary Topic
Railway Systems and Energy Efficiency
Type
article
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article

Relation Between Electrical Grid Congestion and Bus Characteristics

Johann L. Hurink, Maria Vlasiou, Flin Verdaasdonk, Gerwin Hoogsteen
Railway Systems and Energy Efficiency
article

Relation Between Electrical Grid Congestion and Bus Characteristics

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

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.

University of Twente (NL)
Openalex Percentile: Top 60%
Railway Systems and Energy Efficiency
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