Parameter error identification and estimation in power system state estimation

Author

Liu, K. H Edwin ; Lian Lim, Swee

Author_Institution

Pacific Gas & Electr. Co., San Francisco, CA, USA

Volume

10

Issue

1

fYear

1995

fDate

2/1/1995 12:00:00 AM

Firstpage

200

Lastpage

209

Abstract

Network parameter errors can severely impact the quality of state estimation solutions and degrade the usefulness of advanced applications in an energy management system (EMS). An efficient and effective algorithm is needed to estimate the network parameters. In this paper, a practical algorithm that uses real-time measurements to estimate parameter errors is proposed. The algorithm consists of a sensitivity based error identification approach and a weighted least square (WLS) estimation. It can be easily incorporated into any state estimation package. The algorithm has been implemented In the PG&E EMS and tested using the real-time data. Test results are very promising

Keywords

error analysis; least squares approximations; load management; parameter estimation; power system state estimation; energy management system; parameter error estimation; parameter error identification; power system state estimation; real-time measurements; sensitivity based error identification; weighted least square estimation; Degradation; Energy management; Estimation error; Least squares approximation; Medical services; Parameter estimation; Power system measurements; Power systems; State estimation; Testing;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.373943

Filename

373943