Optimal parameter estimation for basic problems of economic operation in electric power systems

Optimal parameter estimation for basic problems of economic operation in electric power systems The paper treats the problem of optimal parameter estimation for some basic models commonly used in conjunction with optimal economic operation studies in integrated electric power systems. Three well‐known parameter estimation algorithms are considered for this purpose. The weighted least‐squares, Gauss‐Newton, and Powell's regression algorithms are utilized to obtain optimal parameters for the fuel cost model of thermal generating sources, active power loss model for the electric network, as well as the active‐reactive power loss models. Performance comparisons using some test systems show that the Powell's regression results provide satisfactory optimal estimates. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Optimal Control Applications and Methods Wiley

Optimal parameter estimation for basic problems of economic operation in electric power systems

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Publisher
Wiley
Copyright
Copyright © 1981 John Wiley & Sons, Ltd.
ISSN
0143-2087
eISSN
1099-1514
DOI
10.1002/oca.4660020306
Publisher site
See Article on Publisher Site

Abstract

The paper treats the problem of optimal parameter estimation for some basic models commonly used in conjunction with optimal economic operation studies in integrated electric power systems. Three well‐known parameter estimation algorithms are considered for this purpose. The weighted least‐squares, Gauss‐Newton, and Powell's regression algorithms are utilized to obtain optimal parameters for the fuel cost model of thermal generating sources, active power loss model for the electric network, as well as the active‐reactive power loss models. Performance comparisons using some test systems show that the Powell's regression results provide satisfactory optimal estimates.

Journal

Optimal Control Applications and MethodsWiley

Published: Jul 1, 1981

References

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