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Modelling and Identification of Power System Components

Åström, Karl Johan LU (1972) In Real-time control of electric power systems
Abstract
There is a continuing tendency to apply many of the powerful results of modern control theory to various industrial processes. Power systems have been indicated as one area where significant progress can be expected. Practically all results of modern control theory require that models of the processes in terms of state equations are available. The need to obtain such models has been a strong motivation for research in the area of modelling and identification. Some progress and on plant experiments is discussed and compared. Particular emphasis is given to parameter estimation techniques like the maximum likelihood method which offers a possibility of combining physical a priori knowledge with experimental investigations. The formulation of... (More)
There is a continuing tendency to apply many of the powerful results of modern control theory to various industrial processes. Power systems have been indicated as one area where significant progress can be expected. Practically all results of modern control theory require that models of the processes in terms of state equations are available. The need to obtain such models has been a strong motivation for research in the area of modelling and identification. Some progress and on plant experiments is discussed and compared. Particular emphasis is given to parameter estimation techniques like the maximum likelihood method which offers a possibility of combining physical a priori knowledge with experimental investigations. The formulation of identification problems is discussed, including the choice of criteria and model structures.

The techniques are illustrated by applications to data obtained from measurements on various components of a power system. The examples include an electric generator, a nuclear reactor and a drum boiler, and serve to illustrate the potentials and limitations of system identification and modelling techniques when they are applied to real data. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Real-time control of electric power systems
editor
Handschin, Edmund
publisher
Elsevier
ISBN
9780444410450
language
English
LU publication?
yes
id
3f4333c8-81d1-47a6-8d7d-25fe986e760f (old id 8840611)
date added to LUP
2016-03-10 10:01:01
date last changed
2016-09-23 15:15:36
@misc{3f4333c8-81d1-47a6-8d7d-25fe986e760f,
  abstract     = {There is a continuing tendency to apply many of the powerful results of modern control theory to various industrial processes. Power systems have been indicated as one area where significant progress can be expected. Practically all results of modern control theory require that models of the processes in terms of state equations are available. The need to obtain such models has been a strong motivation for research in the area of modelling and identification. Some progress and on plant experiments is discussed and compared. Particular emphasis is given to parameter estimation techniques like the maximum likelihood method which offers a possibility of combining physical a priori knowledge with experimental investigations. The formulation of identification problems is discussed, including the choice of criteria and model structures.<br/><br>
The techniques are illustrated by applications to data obtained from measurements on various components of a power system. The examples include an electric generator, a nuclear reactor and a drum boiler, and serve to illustrate the potentials and limitations of system identification and modelling techniques when they are applied to real data.},
  author       = {Åström, Karl Johan},
  editor       = {Handschin, Edmund},
  isbn         = {9780444410450},
  language     = {eng},
  publisher    = {ARRAY(0x86d6a08)},
  series       = {Real-time control of electric power systems},
  title        = {Modelling and Identification of Power System Components},
  year         = {1972},
}