@inproceedings{8ab33ac087a94a23bf94f90043b4692a,
title = "Distributed Bayesian hybrid power state estimation with PMU synchronization errors",
abstract = "This paper presents a distributed hybrid power state estimator, with measurements from both the traditional supervisory control and data acquisition (SCADA) system and the newly invented phasor measurement units (PMUs). The proposed distributed algorithm, which jointly estimates the power states and PMU phase errors, only involves local computations and limited information exchange between neighboring areas, thus alleviating the heavy communication burden compared to the centralized approach. Simulation results show that the performance of the proposed algorithm is very close to that of centralized optimal hybrid state estimates without sampling phase error.",
author = "Jian Du and Shaodan Ma and Wu, {Yik Chung} and Poor, {H. Vincent}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 2014 IEEE Global Communications Conference, GLOBECOM 2014 ; Conference date: 08-12-2014 Through 12-12-2014",
year = "2014",
month = feb,
day = "9",
doi = "10.1109/GLOCOM.2014.7037294",
language = "English (US)",
series = "2014 IEEE Global Communications Conference, GLOBECOM 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3174--3179",
booktitle = "2014 IEEE Global Communications Conference, GLOBECOM 2014",
address = "United States",
}