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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.07858 |
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| _version_ | 1866915190755295232 |
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| author | Wolly, Sakirat Wang, Xiaozhe |
| author_facet | Wolly, Sakirat Wang, Xiaozhe |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_07858 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Real-Time Line Parameter Estimation Method for Multi-Phase Unbalanced Distribution Networks Wolly, Sakirat Wang, Xiaozhe Systems and Control 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. |
| title | Real-Time Line Parameter Estimation Method for Multi-Phase Unbalanced Distribution Networks |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2503.07858 |