@inproceedings{c2bb7f4cc48c435285a0a792ae0c1d84,
title = "Distributed State Estimation Through Nodal Redundancy in EPS",
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.",
keywords = "Distributed Estimation, Measurements, Nodal Bus, Partition, Redundancy",
author = "Moyano, \{Henrry F.\} and Torres, \{Santiago P.\}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 8th IEEE Ecuador Technical Chapters Meeting, ETCM 2024 ; Conference date: 15-10-2024 Through 18-10-2024",
year = "2024",
doi = "10.1109/ETCM63562.2024.10746176",
language = "Ingl{\'e}s",
series = "ETCM 2024 - 8th Ecuador Technical Chapters Meeting",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "David Rivas-Lalaleo and Maita, \{Soraya Lucia Sinche\}",
booktitle = "ETCM 2024 - 8th Ecuador Technical Chapters Meeting",
}