Short-term optimal scheduling of a price-maker hydro producer in a pool-based day-ahead market

Access Full Text

Short-term optimal scheduling of a price-maker hydro producer in a pool-based day-ahead market

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Generation, Transmission & Distribution — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This study proposes a stochastic mixed-integer linear programming approach to maximise the total expected profit of a price-maker Hydro Generating Company. Start-up and shutdown procedures, discrete hydro unit-commitment constraints, ramp rates, minimum and maximum power output constraints, and head effects, are all taken into account in an efficacious way. Uncertainties are modelled considering sets of scenarios to describe the residual demand curves. The proposed approach is successfully applied to a Portuguese hydro system in cascaded configuration. Conclusions are duly drawn.

Inspec keywords: power generation scheduling; integer programming; linear programming; stochastic processes; power markets; hydroelectric power stations

Other keywords: stochastic mixed integer linear programming; pool based day ahead market; discrete hydro unit commitment constraints; short term optimal scheduling; shutdown procedure; residual demand curves; ramp rates; start-up procedure; price maker hydro producer

Subjects: Power system management, operation and economics; Hydroelectric power stations and plants; Optimisation techniques

References

    1. 1)
      • Baslis, C.G., Bakirtzis, A.G.: `Optimal yearly scheduling of generation and pumping for a price-maker hydro producer', Proc. European Energy Market Conf., 2010, Madrid, Spain.
    2. 2)
      • Guerra, A.R.M., Ramos, J.L.M., Expósito, A.G.: `A comparison of residual demand models for oligopolistic markets', Proc. 15th PSCC Power Systems Computation Conf., 2005, Liege, Belgium.
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
      • Mercado Ibérico de Electricidade (MIBEL), ‘Descrição do Funcionamento do MIBEL’, 2009, available at: http://www.mibel.com.
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
      • G.B. Sheblé . (1999) Computational auction mechanismsfor restructured power industry operation.
    22. 22)
    23. 23)
      • A.J. Conejo , M. Carrion , J.M. Morales . (2010) Decision making under uncertainty in electricity markets.
    24. 24)
    25. 25)
      • K. Holmström , A.O. Göran , M.M. Edvall . User's guide for Tomlab/CPLEX V12.1′. Tomlab Optim. , 1 - 106
    26. 26)
    27. 27)
    28. 28)
      • Baíllo, A., Ventosa, M., Rivier, M., Ramos, A.: `Strategic bidding in a competitive electricity market: a decomposition approach', Proc. IEEE Power Tech Conf., 2001, Porto, Portugal.
    29. 29)
    30. 30)
    31. 31)
    32. 32)
    33. 33)
    34. 34)
    35. 35)
    36. 36)
    37. 37)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2012.0101
Loading

Related content

content/journals/10.1049/iet-gtd.2012.0101
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading