Title :
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
fDate :
8/1/1996 12:00:00 AM
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;
Journal_Title :
Power Systems, IEEE Transactions on
