Distributed State Estimation Through Nodal Redundancy in EPS

This research work proposes a robust methodology for partitioning electrical systems within the distributed estimation framework, using the principle of nodal redundancy. The approach employs measurements from the electrical system’s nodes. This method’s application involves a comparative analysis between centralized estimation and the proposed technique, using the IEEE 14-bus system as the benchmark. The findings underscore the efficacy of the quality of the estimation and the computational efficiency achieved through this novel methodology.

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Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/etcm63562.2024.10746176
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.33
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Distributed State Estimation Through Nodal Redundancy in EPS

Santiago P. Torres, Henrry Moyano
1 citations
Fault Detection and Control Systems
0.33
article

Distributed State Estimation Through Nodal Redundancy in EPS

Santiago P. Torres, Henrry Moyano
article en
1 citations

Abstract

This research work proposes a robust methodology for partitioning electrical systems within the distributed estimation framework, using the principle of nodal redundancy. The approach employs measurements from the electrical system’s nodes. This method’s application involves a comparative analysis between centralized estimation and the proposed technique, using the IEEE 14-bus system as the benchmark. The findings underscore the efficacy of the quality of the estimation and the computational efficiency achieved through this novel methodology.

University of Cuenca (EC)
Openalex Percentile: Top 39%
Fault Detection and Control Systems
0.33
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