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Auteurs principaux: Grammatikos, Plouton, Ali, Ali Mohamed, Sossan, Fabrizio
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2504.21606
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author Grammatikos, Plouton
Ali, Ali Mohamed
Sossan, Fabrizio
author_facet Grammatikos, Plouton
Ali, Ali Mohamed
Sossan, Fabrizio
contents This paper proposes and compares experimentally several methods to estimate the series resistance and reactance (i.e., the transversal components of the $π$-model of a line) of low-voltage lines in distribution grids. It first shows that if phasor measurements are available and the grid nodal voltages and power injections are known, the problem can be formulated and solved as a conventional load flow with properly adjusted unknowns. To solve this problem, we propose an analytical derivation of the Jacobian matrix. If only RMS values are available, such as from smart meters, integrating information from multiple intervals becomes necessary, ultimately opening to least-squares estimations, widely adopted in the literature. In this context, applying the proposed Jacobian contributes to accelerating the problem resolution of existing algorithms. The methods are compared in terms of estimation performance and convergence by using measurements from an experimental distribution grid interfacing real-world components and with realistic size implemented at the Gridlab at HES-SO Valais.
format Preprint
id arxiv_https___arxiv_org_abs_2504_21606
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Measurement-Based Line-Impedance Estimation in the Absence of Phasor Measurement Units
Grammatikos, Plouton
Ali, Ali Mohamed
Sossan, Fabrizio
Systems and Control
This paper proposes and compares experimentally several methods to estimate the series resistance and reactance (i.e., the transversal components of the $π$-model of a line) of low-voltage lines in distribution grids. It first shows that if phasor measurements are available and the grid nodal voltages and power injections are known, the problem can be formulated and solved as a conventional load flow with properly adjusted unknowns. To solve this problem, we propose an analytical derivation of the Jacobian matrix. If only RMS values are available, such as from smart meters, integrating information from multiple intervals becomes necessary, ultimately opening to least-squares estimations, widely adopted in the literature. In this context, applying the proposed Jacobian contributes to accelerating the problem resolution of existing algorithms. The methods are compared in terms of estimation performance and convergence by using measurements from an experimental distribution grid interfacing real-world components and with realistic size implemented at the Gridlab at HES-SO Valais.
title Measurement-Based Line-Impedance Estimation in the Absence of Phasor Measurement Units
topic Systems and Control
url https://arxiv.org/abs/2504.21606