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Data · dataset · 2022

Multi-Area State Estimation of Electrical Distribution Systems Considering Topology Changes - Metadata

Listed in Teesside University Research Data Repository

The paper presents a fast State Estimation (SE) tool suitable for real-time applications in a practical Electrical Distribution System (EDS) that can also be flexible for operation changes.

Description

The ".xlsx" files contain the generated data used for training and testing the Artificial Neural Networks used on the paper, one file for each tested system. The reading guideline for interpreting each column of the ".xlsx" files is also present.

For each tested system, there is also informationg regarding the connections formed by each switch; the open switches for each tested topology; and the identification of the buses and switches belonging to each area.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/52xd8f65fr.112 d agoJSON v1
FieldAssertionExtractorEvidence
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