Optimal usage of coal, gas and oil in a power plant

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Optimal usage of coal, gas and oil in a power plant

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This study addresses the problem of an optimal actuator selection when economic value is considered. The objective is to minimise the economical cost of operating a given plant. The problem has been formulated using mathematic notions from economics. Functionals describing the business objectives of operating a power plant has been established. The selection of actuator configuration has been limited to the fuel system which in the considered plant consists of three different fuels – coal, gas and oil. The changes over 24 h of operation is established and a strategy for using a plant utilising the three fuels is developed which will yield a greater profit than a coal fired plant.

Inspec keywords: steam power stations; power generation economics; mathematical analysis

Other keywords: economical cost; coal fired plant; plant utilisation; optimal actuator selection; mathematic notions; power plant; gas

Subjects: Mathematical analysis; Power system management, operation and economics; Steam power stations and plants

References

    1. 1)
      • Kragelund, M., Leth, J., Wisniewski, R.: `Selecting actuator configuration for a benson boiler: production economics', European Control Conf., 2009, Budapest, Hungary.
    2. 2)
      • L. Cesari . Optimization – theory and applications. Applications of mathematics, problems with ordinary differential equations
    3. 3)
      • Skogestad, S., Larsson, T.: `A review of plantwide control', Technical Report, 1998.
    4. 4)
      • Kragelund, M., Wisniewski, R., Mølbak, T., Nielsen, R.J., Edlund, K.: `On propagating requirements and selecting fuels for a benson boiler', Proc. 17th IFAC World Congress, 2008, Seoul, South Korea.
    5. 5)
      • S. Skogestad , I. Postlethwaite . (1996) Multivariable feedback control – analysis and design.
    6. 6)
      • Bendtsen, J., Trangbaek, K., Stoustrup, J.: `Plug-and-play process control: improving control performance through sensor addition and pre-filtering', Proc. 17th IFAC World Congress, 2008, Seoul, South Korea.
    7. 7)
      • Padula, S.L., Kincaid, R.K.: `Optimization strategies for sensor and actuator placement', Technical Report, 1999, NASA/TM-1999-209126.
    8. 8)
      • A. Mas-Colell , M.D. Whinston , J.R. Green . (1995) Microeconomic theory.
    9. 9)
      • M. van de Wal , B. de Jager . A review of methods for input/output selection. Automatica , 487 - 510
    10. 10)
      • http://www.edison-net.dk, accessed May 2009.
    11. 11)
      • M. Hovd , S. Skogestad . Simple frequency-dependent tools for control system analysis, structure selection and design. Automatica , 5 , 989 - 996
    12. 12)
      • Kragelund, M., J̈onsson, U., Leth, J., Wisniewski, R.: `Optimal production planning of a power plant', Proc. 17th IEEE Int. Conf. on Control & Automation, 2009, Christchurch, New Zealand.
    13. 13)
      • S.-E. Fleten , T.K. Kristoffersen . Short-term hydropower production planning by stochastic programming. Comput. Oper. Res. , 8 , 2656 - 2671
    14. 14)
      • G. Stephanopoulos , C. Ng . Perspectives on the synthesis of plant-wide control structures. J. Process Control , 2 , 97 - 111
    15. 15)
      • http://www.betterplace.com, accessed May 2009.
    16. 16)
      • Y. Zhang , S.J. Qin . Adaptive actuator fault compensation for linear systems with matching and unmatching uncertainties. J. Process Control , 6 , 985 - 990
    17. 17)
      • Li, F., de Oliveira, M., Skelton, R.E.: `Integrating control design and sensor/actuator selection', Proc. 45th IEEE Conf. on Decision & Control, 2006.
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