Dynamic nonlinear modelling of power plant by physical principles and neural networks

International Journal of Electrical Power and Energy System

Volumn 22, Issue 1, 2000, Pages 67-78

  Lu, S ^a   Hogg, B W ^b  

^a Doosan Babcock Energy Limited   (United Kingdom)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ELECTRIC POWER PLANTS; NEURAL NETWORKS;

POWER PLANT MODELING;

ELECTRIC POWER SYSTEMS;

EID: 0033627236     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0142-0615(99)00036-8     Document Type: Article

References (25)

1. Chien K.L., Ergin E.I., Ling C., Lee A. Dynamic analysis of a boiler. ASME Transactions. 80:1958;1809-1819.
2. Thompson F.T. A dynamic model of a drum type boiler system. IEEE Transactions. PAS-68:(5):1967;625-635.
3. Kwan H.W., Anderson J.H. A mathematical model of a 200MW boiler. International Journal of Control. 12:(6):1970;977-998.
4. McDonald JP, Kwatny HG, Spare JH. A nonlinear model for reheat boiler turbine generator system, Parts I & II. Proc. 12th JACC. 1971, pp. 219-236.
5. Astrom K.J., Eklund K. A simplified nonlinear model of a drum boiler turbine unit. International Journal of Control. 16:(1):1972;145-169.
6. Lang Pedersen H. Models for use in power plant operation. Journal of Electrical Power and Energy Systems. 14:(5):1992;321-335.
7. Henmaplardh K., Sackett S.A., Cate E.G., Hammond R.A. Applications of dynamic models in dispatcher training simulator & other system dynamic performance study. IEEE Transactions. PAS-104:(6):1985;1349-1355.
8. Blokh A.G. Heat transfer in steam boiler furnace. 1988;Hemisphere, Washington, DC.
9. Kola V., Bose A., Anderson P.M. Power plant models for operator training simulators. IEEE Transaction on Power Systems. 4:(2):1989;559-565.
10. Lo K.L., Zeng P.L., Marchand E., Pinkerton A. Modelling and state estimation of power plant steam turbines. IEE Proceedings, Part C. 137:(2):1990;80-94.
11. Cheres E. Small and medium size drum boiler models suitable for long term dynamic responses. IEEE Transactions on Energy Conversion. 5:(4):1990;686-692.
12. deMello F.P. Boiler models for system dynamic performance studies. IEEE Transactions on Power Systems. 6:(1):1991;66-74.
13. AlSaggaf U.M. Reduced-order models for dynamic control of a power plant with an improved transient and steady-state behaviour. Electric Power Systems Research. 26:(1):1993;79-85.
14. Coelho P.J., Carvalho M.G. Application of a domain decomposition technique to the mathematical modeling of a utility boiler. International Journal for Numerical Methods in Engineering. 36:(20):1993;3401-3419.
15. Grobbelaar G.B., MacLeod I.M., Knothe P.H. Pseudo bond graph approach to modelling the water-steam path of a boiler. Control Engineering Practice. 2:(5):1994;755-761.
16. Lu S. Dynamic modelling and simulation of power plant systems. IMechE Proceedings, Part A., Journal of Power and Energy. 213:(1):1999;7-22.
17. Lu S. Towards intelligent systems for boiler design. IMechE Proceedings, Part A., Journal of Power and Energy. 211:(5):1997;399-409.
18. Lu S., Hogg B.W. Power plant analyser - a computer code for power plant operation studies. IEEE Transactions on Energy Conversion. 11:(4):1996;742-747.
19. Lu S., Hogg B.W. Predictive co-ordinated control for power-plant steam pressure and power output. Control Engineering Practice. 5:(1):1997;79-84.
20. Guo Z., Uhrig R.E. Nuclear power plant performance study by using neural networks. IEEE Transactions on Nuclear Science. 39:(4):1992;915-918.
21. Murty VV, Sreedhar R, Fernandez B, Masada GY, Hill AS. Boiler system identification using sparse neural networks. Proc. of ASME Winter Meeting. New Orleans, 1993, pp. 103-111.
22. Cybenko G. Approximation by superpositions of a sigmoidal function. Mathematics of Control, Signals, and Systems. 2:1989;303-314.
23. Hogg B.W. Representation and control of turbogenerators in electric power systems. Nicholson H. Modelling of dynamic systems. 2:1980;112-149.
24. Battiti R. First- and second-order methods for learning: between steepest decent and Newton's method. Neural Computation. 4:1992;141-166.
25. Fletcher R. Practical methods of optimisation. 1990;Wiley, New York.