Real time recursive parameter estimation in energy management systems

Author

Slutsker, Ilya W. ; Mokhtari, Sasan ; Clements, Kevin A.

Author_Institution

Siemens Empros Power Syst. Controls, Plymouth, MN, USA

Volume

11

Issue

3

fYear

1996

fDate

8/1/1996 12:00:00 AM

Firstpage

1393

Lastpage

1399

Abstract

A new method of recursive parameter estimation using a Kalman filter is presented. The method is capable of estimating impedance parameters of network branches in both online and offline modes. It provides accurate estimation of branch parameters in the presence of noise in measurements and has the ability to identify and reject gross measurement errors. The method can track impedance parameters as they fluctuate due to changes in load and ambient conditions. Test results on a 100-bus network as well as results of method´s implementation in a real life EMS are reported in the paper

Keywords

Kalman filters; control system analysis computing; filtering theory; load management; parameter estimation; power system analysis computing; power system control; recursive estimation; EMS; Kalman filter; algorithm; computer simulation; energy management systems; gross measurement errors; impedance parameters; network branches; parameter tracking; power systems; real-time simulation; recursive parameter estimation; Energy management; Impedance; Parameter estimation; Power system control; Power system measurements; Power system modeling; Power systems; Real time systems; Recursive estimation; State estimation;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.535680

Filename

535680