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Main Authors: Mohammadi, Sina, Bui, Van-Hai, Su, Wencong
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2502.18939
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author Mohammadi, Sina
Bui, Van-Hai
Su, Wencong
author_facet Mohammadi, Sina
Bui, Van-Hai
Su, Wencong
contents Low voltage distribution networks (LVDNs) suffer from limited visibility due to sparse or nonexistent measurement systems, leaving distribution network service providers with incomplete data. Maintenance activities, such as transformer upgrades and power line replacements, sometimes go undocumented, leading to unmonitored topology changes. This lack of oversight hinders network optimization, fault detection, and outage management, as utilities cannot fully monitor or control the system. With the rise of electric vehicles, having an accurate understanding of LVDN topology is crucial to avoid infrastructure damage from potential overloads. This paper introduces a method to reconstruct LVDN topology using incremental voltage and current changes from smart meters at customer endpoints. The approach identifies and maps network topologies with high accuracy, overcoming limitations of prior methods by discarding unrealistic assumptions. Specifically, it addresses grids with fewer than three pole connections and employs an AC power flow model over simplified DC approximations. Simulations across diverse configurations validate the method's effectiveness in accurately reconstructing LVDN topologies, enhancing real-world applicability.
format Preprint
id arxiv_https___arxiv_org_abs_2502_18939
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Novel Topology Recovery Method for Low Voltage Distribution Networks
Mohammadi, Sina
Bui, Van-Hai
Su, Wencong
Systems and Control
Low voltage distribution networks (LVDNs) suffer from limited visibility due to sparse or nonexistent measurement systems, leaving distribution network service providers with incomplete data. Maintenance activities, such as transformer upgrades and power line replacements, sometimes go undocumented, leading to unmonitored topology changes. This lack of oversight hinders network optimization, fault detection, and outage management, as utilities cannot fully monitor or control the system. With the rise of electric vehicles, having an accurate understanding of LVDN topology is crucial to avoid infrastructure damage from potential overloads. This paper introduces a method to reconstruct LVDN topology using incremental voltage and current changes from smart meters at customer endpoints. The approach identifies and maps network topologies with high accuracy, overcoming limitations of prior methods by discarding unrealistic assumptions. Specifically, it addresses grids with fewer than three pole connections and employs an AC power flow model over simplified DC approximations. Simulations across diverse configurations validate the method's effectiveness in accurately reconstructing LVDN topologies, enhancing real-world applicability.
title A Novel Topology Recovery Method for Low Voltage Distribution Networks
topic Systems and Control
url https://arxiv.org/abs/2502.18939