Optimal network reduction of electrical distribution communities

Network reduction has been demonstrated as a practical technique that simplifies complex electrical networks to ad- dress computational and analytical challenges posed by large- scale electrical grids. Traditional network reduction methods are based on a pre-defined set of nodes or lines to remain in the reduced network. To address these challenges, we propose an optimal network reduction approach for large-scale distribution networks, with a focus on power flow studies. Our method combines Mixed Integer Linear Programming with Kron reduction to maintain equivalent impedance among kept nodes. This approach enables the determination of the desired level of reduction with respect to voltage deviation.

Publication Details

Journal
ScholarWorks -A service of University of Vermont Libraries (University of Vermont)
Published
2025-06-02
Primary Topic
Magnetic confinement fusion research
Type
article
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article

Optimal network reduction of electrical distribution communities

ScholarWorks -A service of University of Vermont Libraries (University of Vermont)
Magnetic confinement fusion research
article

Optimal network reduction of electrical distribution communities

article en

Abstract

Network reduction has been demonstrated as a practical technique that simplifies complex electrical networks to ad- dress computational and analytical challenges posed by large- scale electrical grids. Traditional network reduction methods are based on a pre-defined set of nodes or lines to remain in the reduced network. To address these challenges, we propose an optimal network reduction approach for large-scale distribution networks, with a focus on power flow studies. Our method combines Mixed Integer Linear Programming with Kron reduction to maintain equivalent impedance among kept nodes. This approach enables the determination of the desired level of reduction with respect to voltage deviation.

ScholarWorks -A service of University of Vermont Libraries (University of Vermont)
Openalex Percentile: Top 44%
Magnetic confinement fusion research
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Optimal network reduction of electrical distribution communities · ScholarWorks -A service of University of Vermont Libraries (University of Vermont) (2025) | TGRS Research Map | TGRS