Preprocessing of Online Analysis in Power Grid Based on State Estimation Optimized by PCA

Author

Qu, Zhaoyang ; Meng, Ji ; Yuan, Wenjie

Author_Institution

North China Electr. Power Univ., Baoding

Volume

4

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

492

Lastpage

495

Abstract

Aiming at the question that two kinds of different source data-SCADA/WAMS cannot carry on power grid online analysis well. A data preprocessing method is presented in this paper, which is based on a two-stage state estimation algorithm optimized by PCA. By using linear/non-linear mixed state estimation algorithm, the origin data of SCADA/WAMS is transformed into state value. To accelerate the state estimation restrained rapidly, a data value optimized algorithm of principal component analysis is provided, and finally the basic message of online analysis is obtained.

Keywords

SCADA systems; nonlinear estimation; power grids; power system analysis computing; power system control; power system measurement; power system state estimation; principal component analysis; PCA; SCADA system; WAMS system; data preprocessing method; intelligent system; nonlinear mixed state estimation algorithm; power grid online analysis; principal component analysis; supervisory control-data acquisition system; two-stage state estimation algorithm optimization; wide-area measurement system; Algorithm design and analysis; Cities and towns; Data preprocessing; Information analysis; Large scale integration; Optimization methods; Power grids; Principal component analysis; SCADA systems; State estimation; Data Preprocessing; Online Secure and Stable Analysis; PCA; Two-stage State Estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.1356

Filename

4722665