Model predictive control of the superheater temperature based on a piecewise affine model
Result description
The paper deals with one important problem closely connected with the necessity to increase the load following capability of power plants. Its focus is on the control of the main steam temperature at the superheater output. The superheater is a highly nonlinear system and there is little chance that advanced control based on single linearized model may achieve good control performance. The paper shows that nonlinear superheater model can well be approximated with a piecewise affine (PWA) system and controlled using model predictive control (MPC) based on PWA model. The responses to fast wide range load changes (in the range from 50 to 100% of the nominal load) and periodic input disturbances due to irregularities in coal mills are evaluated. It is shown that in both cases MPC control based on PWA model can achieve considerable performance improvement over classical control system based on cascades of gain scheduled PI controllers.
Keywords
Power plant controlModel predictive controlPiecewise affine systems
The result's identifiers
Result code in IS VaVaI
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Model predictive control of the superheater temperature based on a piecewise affine model
Original language description
The paper deals with one important problem closely connected with the necessity to increase the load following capability of power plants. Its focus is on the control of the main steam temperature at the superheater output. The superheater is a highly nonlinear system and there is little chance that advanced control based on single linearized model may achieve good control performance. The paper shows that nonlinear superheater model can well be approximated with a piecewise affine (PWA) system and controlled using model predictive control (MPC) based on PWA model. The responses to fast wide range load changes (in the range from 50 to 100% of the nominal load) and periodic input disturbances due to irregularities in coal mills are evaluated. It is shown that in both cases MPC control based on PWA model can achieve considerable performance improvement over classical control system based on cascades of gain scheduled PI controllers.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JE - Non-nuclear power engineering, energy consumption and utilization
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
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the UKACC International Conference on CONTROL 2010
ISBN
978-1-84600-038-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
Coventry University
Place of publication
Coventry
Event location
Coventry
Event date
Jan 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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Basic information
Result type
D - Article in proceedings
CEP
JE - Non-nuclear power engineering, energy consumption and utilization
Year of implementation
2010