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

Siddharth Suryanarayanan; Gerald T. Heydt

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

Siddharth Suryanarayanan, Gerald T. Heydt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English (US)
Title of host publication	2004 IEEE PES Power Systems Conference and Exposition
Pages	179-184
Number of pages	6
State	Published - Dec 1 2004
Event	2004 IEEE PES Power Systems Conference and Exposition - New York, NY, United States Duration: Oct 10 2004 → Oct 13 2004

Publication series

Name	2004 IEEE PES Power Systems Conference and Exposition
Volume	1

Other

Other	2004 IEEE PES Power Systems Conference and Exposition
Country/Territory	United States
City	New York, NY
Period	10/10/04 → 10/13/04

Keywords

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

ASJC Scopus subject areas

General Engineering

Cite this

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title = "A linear static Kalman filter application for the accommodation of unscheduled flows",

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.",

keywords = "Deregulation, Electricity markets, Gauss-Markov process, Kalman filtering, Minor loop flows, Unscheduled flows",

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series = "2004 IEEE PES Power Systems Conference and Exposition",

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AU - Heydt, Gerald T.

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N2 - 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.

AB - 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.

KW - Deregulation

KW - Electricity markets

KW - Gauss-Markov process

KW - Kalman filtering

KW - Minor loop flows

KW - Unscheduled flows

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

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

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