An accurate distribution network model is crucial for monitoring, state estimation and energy management. However, existing data-driven methods often struggle with scalability or impose a heavy computational burden on large distribution networks. In this paper, leveraging natural load dynamics, we propose a two-stage line estimation method for multiphase unbalanced distribution networks. Simulation results using real-life load and PV data show that the proposed method reduces computational time by one to two orders of magnitude compared to existing methods.
@article{arxiv.2503.07858,
title = {Real-Time Line Parameter Estimation Method for Multi-Phase Unbalanced Distribution Networks},
author = {Sakirat Wolly and Xiaozhe Wang},
journal= {arXiv preprint arXiv:2503.07858},
year = {2025}
}