Modeling and predictive control of a nonlinear power plant reheater with switched dynamics
Result description
This paper is focused on modeling and predictive control of a power plant reheater. The motivation for this research is the necessity to achieve tighter power plant control in the wide range load following operation. The reheater under consideration consists of a series of three heat exchangers and two of them can be fully or partially bypassed. Accurate first principles model of the reheater is developed in the first part of the paper. Good approximation of the distributed parameter behavior is obtained by dividing the dynamics of the individual heat exchangers into several control volumes. Resulting high order model is considerably nonlinear. Moreover, switching of its dynamic behavior occurs because of the bypassing of the individual reheat stages.Thus, this reheater represents a non-trivial control challenge. Model predictive controller is designed in the second part. It is based on a piecewise affine model. Piecewise affine model is used both to approximate reheater nonlinearity
Keywords
Power plant controlModel predictive controlboiler simulation model
The result's identifiers
Result code in IS VaVaI
Result on the web
DOI - Digital Object Identifier
Alternative languages
Result language
angličtina
Original language name
Modeling and predictive control of a nonlinear power plant reheater with switched dynamics
Original language description
This paper is focused on modeling and predictive control of a power plant reheater. The motivation for this research is the necessity to achieve tighter power plant control in the wide range load following operation. The reheater under consideration consists of a series of three heat exchangers and two of them can be fully or partially bypassed. Accurate first principles model of the reheater is developed in the first part of the paper. Good approximation of the distributed parameter behavior is obtained by dividing the dynamics of the individual heat exchangers into several control volumes. Resulting high order model is considerably nonlinear. Moreover, switching of its dynamic behavior occurs because of the bypassing of the individual reheat stages.Thus, this reheater represents a non-trivial control challenge. Model predictive controller is designed in the second part. It is based on a piecewise affine model. Piecewise affine model is used both to approximate reheater nonlinearity
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
1M06059: Advanced Technologies and Systems for Power Engineering
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
16TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS
ISBN
978-1-4577-0914-2
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
284-289
Publisher name
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Place of publication
NEW YORK
Event location
Miedzyzdroje, Polsko
Event date
Jan 1, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000299641700055
Result type
D - Article in proceedings
CEP
JB - Sensors, detecting elements, measurement and regulation
Year of implementation
2011