A linear static Kalman filter application for the accommodation of unscheduled flows

Siddharth Suryanarayanan, Gerald T. Heydt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper describes the design and application of a linear static Kalman filter based on a Gauss-Markov (GM) process for estimating minor loop flows in wide area systems. The minor loop flows assumed to circulate in the system are estimated from the measurements of the active power flowing in transmission circuits. Typically, the measurements may be noise contaminated; using the noisy data may reduce reliability in estimation. Since, the estimates of the minor loop flows are employed in the monetary accommodation of Unscheduled Flows (USFs) among GENCOs, the estimates are required to be noise free. A linear discrete Kalman filter, used statically, can be employed for this purpose. A Gauss-Markov process is shown to satisfactorily model the minor loop flows.

Original languageEnglish (US)
Title of host publication2004 IEEE PES Power Systems Conference and Exposition
Pages179-184
Number of pages6
StatePublished - Dec 1 2004
Event2004 IEEE PES Power Systems Conference and Exposition - New York, NY, United States
Duration: Oct 10 2004Oct 13 2004

Publication series

Name2004 IEEE PES Power Systems Conference and Exposition
Volume1

Other

Other2004 IEEE PES Power Systems Conference and Exposition
CountryUnited States
CityNew York, NY
Period10/10/0410/13/04

Keywords

  • Deregulation
  • Electricity markets
  • Gauss-Markov process
  • Kalman filtering
  • Minor loop flows
  • Unscheduled flows

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Suryanarayanan, S., & Heydt, G. T. (2004). A linear static Kalman filter application for the accommodation of unscheduled flows. In 2004 IEEE PES Power Systems Conference and Exposition (pp. 179-184). (2004 IEEE PES Power Systems Conference and Exposition; Vol. 1).