Influence of Measurement Uncertainties on the Quality of Grid Topology Identification in Three-Phase Systems

Due to the increase in decentralized generation plants and the emergence of new customer types, distribution grid operators will face an increased need to perform grid status analyses based on measurement data collected by smart metering systems. The necessary grid topology, however, is not available to distribution grid operators in sufficient quality in many cases. This paper presents an extension of an existing topology identification method based on measurement data of three-phase systems. Within the scope of sensitivity analyses, the influence of measurement uncertainties is investigated and compared with the current state of deployed measurement technology in Europe.

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Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863762
Citations
3
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.63
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article

Influence of Measurement Uncertainties on the Quality of Grid Topology Identification in Three-Phase Systems

Markus Stroot, Dominik Kubon, Andreas Ulbig, Franziska Tischbein
3 citations
Smart Grid and Power Systems
0.63
article

Influence of Measurement Uncertainties on the Quality of Grid Topology Identification in Three-Phase Systems

Markus Stroot, Dominik Kubon, Andreas Ulbig, Franziska Tischbein
article en
3 citations

Abstract

Due to the increase in decentralized generation plants and the emergence of new customer types, distribution grid operators will face an increased need to perform grid status analyses based on measurement data collected by smart metering systems. The necessary grid topology, however, is not available to distribution grid operators in sufficient quality in many cases. This paper presents an extension of an existing topology identification method based on measurement data of three-phase systems. Within the scope of sensitivity analyses, the influence of measurement uncertainties is investigated and compared with the current state of deployed measurement technology in Europe.

RWTH Aachen University (DE)
Sustainable cities and communities
Openalex Percentile: Top 30%
Smart Grid and Power Systems
0.63
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