IEE Power and Energy Series
IET, 2003. 433 p. ISBN:0852964194
This book shows how advances in computing technology and current areas of research can be combined to extend the capabilities and economics of mode power plant. Author has brought together contributors of world-class excellence to illustrate how the various methodologies can be applied to power plant operation.
Significant changes over the past decade in computing technology, along with widespread deregulation of electricity industries, have impacted on power plant operations while affording engineers the opportunity to introduce monitoring and plant-wide control schemes which were previously unfeasible. Contributors of world-class excellence are brought together in Thermal Power Plant Simulation and Control to illustrate how current areas of research can be applied to power plant operation, leading to enhanced unit performance, asset management and plant competitiveness through intelligent monitoring and control strategies.
Contents
List of contributors
Preface
List of abbreviations
Advances in power plant technology - M. Cregan and D. Flynn
Power plant historical development
Plant configuration and design
Control and instrumentation
Exteal influences
Plant technology developments
References
Part 1: Modelling and simulation
Modelling of power plants - A. Leva and C Maffezzoni
Introduction
Model structuring by the object-oriented approach
Basic component models
Modelling of distributed control systems
Application of dynamic decoupling to power plant models
Testing and validation of developed models
Concluding remarks and open problems
References
Part 2: Control
Modelling and control of pulverised fuel coal mills - N.W. Rees and G.Q. Fan
Introduction
Modelling of coal mills
Plant tests, results and fitting model parameters
Mill control
Intelligent control and operator advisory systems
Conclusions
Acknowledgements m
References
4 Generator excitation control using local model networks - M.D . Brown, D. Flynn and G. W. Irwin Introduction
Local model networks
Controller design
Micromachine test facility
Results
Conclusions
References
Steam temperature control - T. Moelbak and J.H. Mortensen
Introduction
Plant and control description
Advanced evaporator control
Advanced superheater control
Conclusions References
Supervisory predictive control of a combined cycle thermal power plant
Sdez and A. Cipriano
Introduction
A combined cycle thermal power plant
Design of supervisory control strategies for a combined cycle thermal power plant
Application to the thermal power plant simulator
Discussion and conclusions
Acknowledgements
References
Multivariable power plant control - G. Poncia
Introduction
Classical control Of thermal power plants
Multivariable control strategies
An application: MBPC control of a 320 MW oil-fired plant
Conclusions
Acknowledgements
References
Part 3: Monitoring, optimisation and supervision
Extending plant load-following capabilities - R. Garduno-Ramirez and If. Y Lee
Introduction
Power unit requirements for wide-range operation
Conventional power unit control
Feedforward/feedback control strategy
Knowledge-based feedforward control
Design of neurofuzzy controllers
Wide-range load-following
Summary and conclusions
Acknowledgements
References
Modelling of NOx emissions in coal-fired plant - S. Thompson and K. Li
Emissions from coal-fired power stations
An overview of NOx formation mechanisms
NOx emission models for a 500 MW power generation unit
Conclusions
Acknowledgements
References
Model-based fault detection in a high-pressure heater line - A. Alessandri, P Coletta and T. Parisini Introduction
Description of power plant application
Grey-box modelling and identification of a power plant
A general approach to receding-horizon estimation for non-linear systems
Conclusions
References
Data mining for performance monitoring and optimisation - J.A. Ritchie and D. Flynn
Introduction
Outline of data mining applications
Identification of process and sensor faults
Process monitoring and optimisation
Non-linear PLS modelling
Discussion and conclusions
Acknowledgements
References
Advanced plant management systems - A. Fricker and G. Oluwande
Plant management in a deregulated electricity market
Supervisory control
System integration and HMI issues
Performance monitoring
Added value applications
Conclusions
References Part4: Thefuture
Physical model-based coordinated power plant control - G. Prasad
Introduction
A review of physical model-based thermal power plant control approaches
Control problems of a thermal power plant
Applying a physical model-based predictive control strategy
Simulation results
Discussion and conclusions
Acknowledgements
References
Management and integration of power plant operations - A.E Armor
Introduction
Age and reliability of plants
Improving asset management
The impacts of cycling on power plant performance
Improving maintenance approaches
Power plant networks: redefining information flow
Conclusions
References
Bibliography
Index
IET, 2003. 433 p. ISBN:0852964194
This book shows how advances in computing technology and current areas of research can be combined to extend the capabilities and economics of mode power plant. Author has brought together contributors of world-class excellence to illustrate how the various methodologies can be applied to power plant operation.
Significant changes over the past decade in computing technology, along with widespread deregulation of electricity industries, have impacted on power plant operations while affording engineers the opportunity to introduce monitoring and plant-wide control schemes which were previously unfeasible. Contributors of world-class excellence are brought together in Thermal Power Plant Simulation and Control to illustrate how current areas of research can be applied to power plant operation, leading to enhanced unit performance, asset management and plant competitiveness through intelligent monitoring and control strategies.
Contents
List of contributors
Preface
List of abbreviations
Advances in power plant technology - M. Cregan and D. Flynn
Power plant historical development
Plant configuration and design
Control and instrumentation
Exteal influences
Plant technology developments
References
Part 1: Modelling and simulation
Modelling of power plants - A. Leva and C Maffezzoni
Introduction
Model structuring by the object-oriented approach
Basic component models
Modelling of distributed control systems
Application of dynamic decoupling to power plant models
Testing and validation of developed models
Concluding remarks and open problems
References
Part 2: Control
Modelling and control of pulverised fuel coal mills - N.W. Rees and G.Q. Fan
Introduction
Modelling of coal mills
Plant tests, results and fitting model parameters
Mill control
Intelligent control and operator advisory systems
Conclusions
Acknowledgements m
References
4 Generator excitation control using local model networks - M.D . Brown, D. Flynn and G. W. Irwin Introduction
Local model networks
Controller design
Micromachine test facility
Results
Conclusions
References
Steam temperature control - T. Moelbak and J.H. Mortensen
Introduction
Plant and control description
Advanced evaporator control
Advanced superheater control
Conclusions References
Supervisory predictive control of a combined cycle thermal power plant
Sdez and A. Cipriano
Introduction
A combined cycle thermal power plant
Design of supervisory control strategies for a combined cycle thermal power plant
Application to the thermal power plant simulator
Discussion and conclusions
Acknowledgements
References
Multivariable power plant control - G. Poncia
Introduction
Classical control Of thermal power plants
Multivariable control strategies
An application: MBPC control of a 320 MW oil-fired plant
Conclusions
Acknowledgements
References
Part 3: Monitoring, optimisation and supervision
Extending plant load-following capabilities - R. Garduno-Ramirez and If. Y Lee
Introduction
Power unit requirements for wide-range operation
Conventional power unit control
Feedforward/feedback control strategy
Knowledge-based feedforward control
Design of neurofuzzy controllers
Wide-range load-following
Summary and conclusions
Acknowledgements
References
Modelling of NOx emissions in coal-fired plant - S. Thompson and K. Li
Emissions from coal-fired power stations
An overview of NOx formation mechanisms
NOx emission models for a 500 MW power generation unit
Conclusions
Acknowledgements
References
Model-based fault detection in a high-pressure heater line - A. Alessandri, P Coletta and T. Parisini Introduction
Description of power plant application
Grey-box modelling and identification of a power plant
A general approach to receding-horizon estimation for non-linear systems
Conclusions
References
Data mining for performance monitoring and optimisation - J.A. Ritchie and D. Flynn
Introduction
Outline of data mining applications
Identification of process and sensor faults
Process monitoring and optimisation
Non-linear PLS modelling
Discussion and conclusions
Acknowledgements
References
Advanced plant management systems - A. Fricker and G. Oluwande
Plant management in a deregulated electricity market
Supervisory control
System integration and HMI issues
Performance monitoring
Added value applications
Conclusions
References Part4: Thefuture
Physical model-based coordinated power plant control - G. Prasad
Introduction
A review of physical model-based thermal power plant control approaches
Control problems of a thermal power plant
Applying a physical model-based predictive control strategy
Simulation results
Discussion and conclusions
Acknowledgements
References
Management and integration of power plant operations - A.E Armor
Introduction
Age and reliability of plants
Improving asset management
The impacts of cycling on power plant performance
Improving maintenance approaches
Power plant networks: redefining information flow
Conclusions
References
Bibliography
Index