A Novel Topology Recovery Method for Low Voltage Distribution Networks

TL;DR

This paper presents a new method to accurately reconstruct low voltage distribution network topologies using smart meter data, addressing limitations of previous approaches and improving grid monitoring and management.

Contribution

It introduces an incremental voltage-current based topology recovery method that overcomes prior assumptions and applies an AC power flow model for better accuracy.

Findings

High accuracy in topology reconstruction demonstrated through simulations

Effective in grids with fewer than three pole connections

Addresses limitations of previous methods by discarding unrealistic assumptions

Abstract

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.