DocumentCode :
135054
Title :
SCADA-rate parallel state estimation assessed with utility data
Author :
Yousu Chen ; Rice, Matthew ; Zhenyu Huang
Author_Institution :
Battelle Seattle Res. Center, Pacific Northwest Nat. Lab., Seattle, WA, USA
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve state estimation of large-size power systems within 5 seconds using real-world data, a time interval comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.
Keywords :
SCADA systems; conjugate gradient methods; least squares approximations; power grids; power system reliability; power system state estimation; Bonneville Power Administration; SCADA rate parallel state estimation; conjugate gradient algorithm; grid reliability; supervisory control and data acquisition; Energy management; Equations; Mathematical model; Power measurement; Power systems; State estimation; Voltage measurement; High Performance Computing; Preconditioned Conjugate Gradient; State Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6939097
Filename :
6939097
Link To Document :
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