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