DOAJ Open Access 2025

Estimation of distribution grid line parameters using smart meter data with missing measurements

Shubhankar Kapoor Adrian G. Wills Johannes Hendriks Lachlan Blackhall

Abstrak

Grid models, including line impedances, are crucial for the active management and operation of the distribution grid (DG). This paper introduces a novel approach for estimating DG line parameters using available voltage magnitude and node powers from smart meters (SMs), specifically addressing scenarios with missing measurements. We propose an expectation–maximization (EM) based approach and validate the results on an IEEE 37-node network, achieving accurate estimates for line parameters, voltage magnitude, and active/reactive power at nodes. The method is tested with varying levels of missing measurements and noise. Two cases of missing measurements are considered: random and specific node-based. The latter case is used to infer the optimal placement of measurement devices. Additionally, the proposed method is validated on simulated data and real-world consumer loads, consistently providing accurate results.

Topik & Kata Kunci

Production of electric energy or power. Powerplants. Central stations

Penulis (4)

Shubhankar Kapoor

Adrian G. Wills

Johannes Hendriks

Lachlan Blackhall

Format Sitasi

APA MLA BibTeX

Kapoor, S., Wills, A.G., Hendriks, J., Blackhall, L. (2025). Estimation of distribution grid line parameters using smart meter data with missing measurements. https://doi.org/10.1016/j.ijepes.2025.110634

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Informasi Jurnal

Tahun Terbit: 2025
Sumber Database: DOAJ
DOI: 10.1016/j.ijepes.2025.110634
Akses: Open Access ✓