Expected deviations in grid state identification through practical measurements using a smart grid interface module

One of the most important requirements for a smart grid is to know the electrical operation point, commonly referred to as the grid state. Relying purely on measurements to identify the grid state is very expensive and it is only feasible for high-voltage (HV) grids. Especially in low-voltage (LV) grids, this approach becomes economically unviable. A grid state identification, which calculates the grid state based on a selection of a few measurements and a grid model, is needed. In this paper, the effect of the number of measurements on the grid state deviation in LV grids is examined in a simulation environment. Creating a bridge between theory and practical application, this paper highlights the practical implications and expected deviations of the grid state identification using a Smart Grid Interface Module (SGIM) from BeEnergy SG GmbH in the SimBench LV grids. The findings presented herein are based on the outcomes of the mentioned simulation environment, providing insights into its effectiveness.

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Publication Details

Journal
IET conference proceedings.
Published
2025-01-01
DOI
https://doi.org/10.1049/icp.2024.2023
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
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article

Expected deviations in grid state identification through practical measurements using a smart grid interface module

Markus Zdrallek, Markus Koch, Martin Asman, Rafael Walter Müller et al.
IET conference proceedings.
Smart Grid and Power Systems
article

Expected deviations in grid state identification through practical measurements using a smart grid interface module

Markus Zdrallek, Markus Koch, Martin Asman, Rafael Walter Müller, Maximilian Kickartz
article en

Abstract

One of the most important requirements for a smart grid is to know the electrical operation point, commonly referred to as the grid state. Relying purely on measurements to identify the grid state is very expensive and it is only feasible for high-voltage (HV) grids. Especially in low-voltage (LV) grids, this approach becomes economically unviable. A grid state identification, which calculates the grid state based on a selection of a few measurements and a grid model, is needed. In this paper, the effect of the number of measurements on the grid state deviation in LV grids is examined in a simulation environment. Creating a bridge between theory and practical application, this paper highlights the practical implications and expected deviations of the grid state identification using a Smart Grid Interface Module (SGIM) from BeEnergy SG GmbH in the SimBench LV grids. The findings presented herein are based on the outcomes of the mentioned simulation environment, providing insights into its effectiveness.

IET conference proceedings.Vol. 2024(5)
University of Wuppertal (DE), Wuppertal Institute for Climate, Environment and Energy (DE)
Openalex Percentile: Top 100%
Smart Grid and Power Systems
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Expected deviations in grid state identification through practical measurements using a smart grid interface module — Markus Zdrallek, Markus Koch, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS