DocumentCode :
674879
Title :
A decentralized approach to generalized power system state estimation
Author :
Kekatos, Vassilis ; Vlahos, Evangelos ; Ampeliotis, Dimitris ; Giannakis, Georgios ; Berberidis, Kostas
Author_Institution :
Dept. of ECE, Univ. of Minnesota, Minneapolis, MN, USA
fYear :
2013
fDate :
15-18 Dec. 2013
Firstpage :
77
Lastpage :
80
Abstract :
Distributed generation and the urge for a more efficient grid operation will increase the frequency of network topology reconfigurations in tomorrow´s power grids. High-throughput synchrophasor and intelligent electronic device readings provide unprecedented instrumentation capabilities for generalized state estimation (GSE), which deals with identifying the power system state jointly with its network topology. This task is critically challenged by the complexity scale of a grid interconnection, especially under the detailed GSE model. Upon modifying the original GSE cost by block-sparsity promoting regularizers, a decentralized solver with enhanced circuit breaker verification capabilities is developed. Built on the alternating direction method of multipliers, the novel method maintains compatibility with existing solvers and requires minimum information exchanges across the control centers of neighboring power grids. Numerical tests on an extended IEEE 14-bus model corroborate the effectiveness of the novel approach.
Keywords :
circuit breakers; distributed power generation; power grids; power system state estimation; circuit breaker verification capabilities; decentralized approach; decentralized solver; distributed generation; extended IEEE 14-bus model; generalized power system state estimation; grid operation; network topology reconfigurations; power grid operation; Circuit breakers; Current measurement; Integrated circuit interconnections; Monitoring; Power systems; State estimation; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
Conference_Location :
St. Martin
Print_ISBN :
978-1-4673-3144-9
Type :
conf
DOI :
10.1109/CAMSAP.2013.6714011
Filename :
6714011
Link To Document :
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