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Dynamic optimal power flow approach to account for consumer response in short term hydrothermal coordination studies

Dynamic optimal power flow approach to account for consumer response in short term hydrothermal coordination studies

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This paper deals with the representation of price-responsive loads in the short term coordination of predominantly hydroelectric hydrothermal systems. The proposed approach allows the representation of cross-relationships between demand and price during different dispatch intervals of a given time horizon. Also, consumer energy constraints which behave as dynamic restrictions can be taken into account. By that means, a load shifting program in which the consumers' overall energy consumption remains constant throughout the time horizon can be simulated. The short-term hydrothermal coordination is solved as a single optimisation problem employing the primal–dual interior point method. Realistic subsystems, based on the Brazil interconnected power system, are used to illustrate the effect of price-responsive loads on reservoir storages.


    1. 1)
      • W.H. Greene . (1997) Econometric analysis.
    2. 2)
    3. 3)
      • Uturbey, W., Simões Costa, A.: `Interruptible load management assessment via dynamic optimal power flow', Proc. Power Tech Conf., IEEE, June 2003, Bologna.
    4. 4)
    5. 5)
      • Uturbey, W., Simões Costa, A.J.A.: `Short term hydrothermal coordination in the presence of price-responsive loads', Proc. Power Tech Conf., IEEE, June 2005, St. Petersburg, p. 25–30.
    6. 6)
    7. 7)
      • A. Mas-Colell , M.D. Whinston , J.R. Green . (1995) Microeconomic theory.
    8. 8)
    9. 9)
      • Orrego, N.J., Almeida, K.C., Zurn, H.H.: `Short term hydrothermal scheduling under bilateral contracts', Proc. Power Tech Conf., IEEE, 10–13 September 2001, Porto, Portugal.
    10. 10)
      • M.V.F. Pereira , L.M.V.G. Pinto . Stochastic optimization of a multireservoir hydroelectric system: a decomposition approach. Water Resour. Res. , 6 , 779 - 792
    11. 11)
      • W. Uturbey , A.J.A. Simões Costa . Demand side management via optimal power flow with intertemporal constraints. IEE Proc., Gener. Transm. Distrib. , 1 , 37 - 43
    12. 12)
      • The Nordpool website:
    13. 13)
      • M.V.F. Pereira , L.M.V.G. Pinto . A decomposition approach to the economic dispatch of hydrothermal systems. IEEE Trans. Power App. Syst. , 10 , 3851 - 3860
    14. 14)
      • A. Wood , B. Wollenburg . (1996) Power generation, operation, and control.
    15. 15)
    16. 16)
      • J.L.H. Araújo . (2006) The case of Brazil: reform by trail and error?’ in ‘Electricity market reform: an international perspective.
    17. 17)
      • Huneault, M., Galiana, F.D., Gross, G.: `A review of restructuring in the electrical business', Proc. PSCC-Power Syst. Comput. Conf., Trondheim, p. 19–31.
    18. 18)
    19. 19)
    20. 20)
      • Laurence, D.J., Neenan, B.F.: `The status of demand response in New York', Proc. Power Engineering Society General Meeting, IEEE, 13–17 July 2003, 4, p. 2270–2274.

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