# Data-Driven Approach for Distribution Network Topology Detection

arXiv: https://arxiv.org/abs/1504.00724 · HTML: https://mlsanity.com/paper/1504.00724/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Apr 2015.

## Built on by (most cited first, 2 of 2)

- [Learning Distribution Grid Topologies: A Tutorial](https://mlsanity.com/paper/2206.10837/) (2022)
- [Explainable Graph Theory-Based Identification of Meter-Transformer Mapping](https://mlsanity.com/paper/2205.09874/) (2022)

## Abstract (arXiv)

This paper proposes a data-driven approach to detect the switching actions and topology transitions in distribution networks. It is based on the real time analysis of time-series voltages measurements. The analysis approach draws on data from high-precision phasor measurement units (μPMUs or synchrophasors) for distribution networks. The key fact is that time-series measurement data taken from the distribution network has specific patterns representing state transitions such as topology changes. The proposed algorithm is based on comparison of actual voltage measurements with a library of signatures derived from the possible topologies simulation. The IEEE 33-bus model is used for the algorithm validation.