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E-book: Thermal Power Plant Simulation and Control

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Edited by (The Queen's University of Belfast, UK)
  • Format: PDF+DRM
  • Series: Energy Engineering
  • Pub. Date: 23-Sep-2011
  • Publisher: Institution of Engineering and Technology
  • Language: eng
  • ISBN-13: 9781849190268
  • Format - PDF+DRM
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  • Format: PDF+DRM
  • Series: Energy Engineering
  • Pub. Date: 23-Sep-2011
  • Publisher: Institution of Engineering and Technology
  • Language: eng
  • ISBN-13: 9781849190268

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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.
List of contributors
ix
Preface xiii
List of abbreviations
xvii
Advances in power plant technology
1(16)
M. Cregan
D. Flynn
Power plant historical development
1(1)
Plant configuration and design
2(3)
Control and instrumentation
5(4)
External influences
9(4)
Plant technology developments
13(1)
References
13(4)
Part 1: Modelling and simulation
Modelling of power plants
17(46)
A. Leva
C. Maffezzoni
Introduction
17(1)
Model structuring by the object-oriented approach
18(9)
Basic component models
27(23)
Modelling of distributed control systems
50(2)
Application of dynamic decoupling to power plant models
52(1)
Testing and validation of developed models
53(3)
Concluding remarks and open problems
56(1)
References
57(6)
Part 2: Control
Modelling and control of pulverised fuel coal mills
63(38)
N.W. Rees
G.Q. Fan
Introduction
63(1)
Modelling of coal mills
64(7)
Plant tests, results and fitting model parameters
71(9)
Mill control
80(12)
Intelligent control and operator advisory systems
92(5)
Conclusions
97(1)
Acknowledgements
97(1)
References
97(4)
Generator excitation control using local model networks
101(30)
M.D. Brown
D. Flynn
G.W. Irwin
Introduction
101(1)
Local model networks
102(6)
Controller design
108(5)
Micromachine test facility
113(4)
Results
117(7)
Conclusions
124(3)
References
127(4)
Steam temperature control
131(30)
T. Moelbak
J.H. Mortensen
Introduction
131(2)
Plant and control description
133(4)
Advanced evaporator control
137(10)
Advanced superheater control
147(12)
Conclusions
159(1)
References
159(2)
Supervisory predictive control of a combined cycle thermal power plant
161(18)
D. Saez
A. Cipriano
Introduction
161(1)
A combined cycle thermal power plant
162(6)
Design of supervisory control strategies for a combined cycle thermal power plant
168(3)
Application to the thermal power plant simulator
171(5)
Discussion and conclusions
176(1)
Acknowledgements
177(1)
References
177(2)
Multivariable power plant control
179(26)
G. Poncia
Introduction
179(2)
Classical control of thermal power plants
181(3)
Multivariable control strategies
184(5)
An application: MBPC control of a 320 MW oil-fired plant
189(11)
Conclusions
200(1)
Acknowledgements
200(1)
References
201(4)
Part 3: Monitoring, optimisation and supervision
Extending plant load-following capabilities
205(38)
R. Garduno-Ramirez
K.Y. Lee
Introduction
205(2)
Power unit requirements for wide-range operation
207(2)
Conventional power unit control
209(4)
Feedforward/feedback control strategy
213(8)
Knowledge-based feedforward control
221(3)
Design of neurofuzzy controllers
224(4)
Wide-range load-following
228(10)
Summary and conclusions
238(1)
Acknowledgements
239(1)
References
239(4)
Modelling of NOx emissions in coal-fired plant
243(26)
S. Thompson
K. Li
Emissions from coal-fired power stations
243(5)
An overview of NOx formation mechanisms
248(5)
NOx emission models for a 500 MW power generation unit
253(10)
Conclusions
263(4)
Acknowledgements
267(1)
References
267(2)
Model-based fault detection in a high-pressure heater line
269(40)
A. Alessandri
P. Coletta
T. Parisini
Introduction
269(2)
Description of power plant application
271(16)
Grey-box modelling and identification of a power plant
287(8)
A general approach to receding-horizon estimation for non-linear systems
295(12)
Conclusions
307(1)
References
307(2)
Data mining for performance monitoring and optimisation
309(36)
J.A. Ritchie
D. Flynn
Introduction
309(1)
Outline of data mining applications
310(1)
Identification of process and sensor faults
311(14)
Process monitoring and optimisation
325(9)
Non-linear PLS modelling
334(4)
Discussion and conclusions
338(3)
Acknowledgements
341(1)
References
341(4)
Advanced plant management systems
345(20)
A. Fricker
G. Oluwande
Plant management in a deregulated electricity market
345(1)
Supervisory control
346(4)
System integration and HMI issues
350(1)
Performance monitoring
351(3)
Added value applications
354(6)
Conclusions
360(1)
References
361(4)
Part 4: The future
Physical model-based coordinated power plant control
365(30)
G. Prasad
Introduction
365(1)
A review of physical model-based thermal power plant control approaches
366(2)
Control problems of a thermal power plant
368(7)
Applying a physical model-based predictive control strategy
375(6)
Simulation results
381(8)
Discussion and conclusions
389(2)
Acknowledgements
391(1)
References
391(4)
Management and integration of power plant operations
395(22)
A.F. Armor
Introduction
395(1)
Age and reliability of plants
396(5)
Improving asset management
401(4)
The impacts of cycling on power plant performance
405(2)
Improving maintenance approaches
407(3)
Power plant networks: redefining information flow
410(3)
Conclusions
413(1)
References
414(1)
Bibliography
415(2)
Index 417


Damian Flynn is a lecturer in power engineering in the School of Electrical and Electronic Engineering at The Queen's University of Belfast. A Chartered Engineer and member of the IET, his research interests lie in power plant advanced monitoring and control, power system stability and wind power integration.