• Juan M. MoralesEmail author
  • Antonio J. Conejo
  • Henrik Madsen
  • Pierre Pinson
  • Marco Zugno
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 205)


The subject matter of this book is inspired by the fact that today’s power systems are experiencing an increasing penetration of renewable energy sources that are nondispatchable—their output cannot or can only partly be modulated upon request—and stochastic—their production cannot be perfectly predicted in advance. Against this background, the operational practices that, for many decades, have governed the functioning of power systems are now to be challenged and revisited to accommodate the uncertain and variable nature of these energy sources. This first chapter motivates the operational problems dealt with in this book by providing a brief overview of the main challenges originated from the growing integration of stochastic and intermittent generation in current electric energy systems.


Power System Renewable Energy Electricity Market Demand Response Electricity Sector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Baldick, R.: Wind and energy markets: a case study of Texas. IEEE Syst. J. 6(1), 27–34 (2012)CrossRefGoogle Scholar
  2. 2.
    Borenstein, S.: The trouble with electricity markets: Understanding California’s restructuring disaster. J. Econ. Perspect. 16(1), 191–211 (2002)CrossRefGoogle Scholar
  3. 3.
    Burke, D.J., O’Malley, M.J.: Maximizing firm wind connection to security constrained trasnmission networks. IEEE Trans. Power Syst. 25(2), 749–759(2010)CrossRefGoogle Scholar
  4. 4.
    Conejo, A.J., Morales, J.M., Martínez, J.A.: Tools for the analysis and design of distributed resources—Part III: Market studies. IEEE Trans. Power Deliv. 26(3), 1663–1670 (2011)CrossRefGoogle Scholar
  5. 5.
    DeMeo, E.A., Jordan, G.A., Kalich, C., King, J., Milligan, M.R., Murley, C., Oakleak, B., Schuerger, M.J.: Accommodating wind’s natural behavior. IEEE Power & Energy Mag. 5(6), 68–77 (2007)CrossRefGoogle Scholar
  6. 6.
    Denholm, P., Ela, E., Kirby, B., Milligan, M.: The role of energy storage with renewable electricity generation. Tech. Rep. NREL/TP-6A2-47187, National Renewable Energy Laboratory (NREL) (2010)Google Scholar
  7. 7.
    Denny, E., O’Malley, M.: Wind generation, power system operation, and emissions reduction. IEEE Trans. Power Syst. 21(1), 341–347 (2006)CrossRefGoogle Scholar
  8. 8.
    Denny, E., O’Malley, M.: Quantifying the total net benefits of grid integrated wind. IEEE Trans. Power Syst. 20(2), 605–615 (2007)CrossRefGoogle Scholar
  9. 9.
    Global Wind Energy Council: Global wind report. Annual market update 2012. (2013). Accessed 10 May 2013
  10. 10.
    Holttinen, H.: Impact of hourly wind power variations on the system operation in the Nordic countries. Wind Energy 8(2), 197–218 (2005)CrossRefGoogle Scholar
  11. 11.
    Kirschen, D.S., Strbac, G.: Fundamentals of Power System Economics. Wiley, Chichester (2004)CrossRefGoogle Scholar
  12. 12.
    MIBEL: Iberian Electricity Market. (2013). Accessed 13 May 2013
  13. 13.
    Morales, J.M., Conejo, A.J., Pérez-Ruiz, J.: Economic valuation of reserves in power systems with high penetration of wind power. IEEE Trans. Power Syst. 24(2), 900–910 (2009)CrossRefGoogle Scholar
  14. 14.
    Morales, J.M., Conejo, A.J., Pérez-Ruiz, J.: Short-term trading for a wind power producer. IEEE Trans. Power Syst. 25(1), 554–564 (2010)CrossRefGoogle Scholar
  15. 15.
    Morales, J.M., Pinson, P., Madsen, H.: A transmission-cost-based model to estimate the amount of market-integrable wind resources. IEEE Trans. Power Syst. 27(2), 1060–1069 (2012)CrossRefGoogle Scholar
  16. 16.
    Morales, J.M., Conejo, A.J., Liu, K., Zhong, J.: Pricing electricity in pools with wind producers. IEEE Trans. Power Syst. 27(3), 1366–1376 (2012)CrossRefGoogle Scholar
  17. 17.
    Pepermans, G., Driesen, J., Haeseldonckx, D., Belmans, R., D’haeseleer, W.: Distributed generation: Definition, benefits and issues. Energy Policy 33(6), 787–798 (2005)CrossRefGoogle Scholar
  18. 18.
    Pickard, W.F., Shen, A.Q., Hansing, N.J.: Parking the power: Strategies and physical limitations for bulk energy storage in supply–demand matching on a grid whose input power is provided by intermittent sources. Renew. Sust. Energ. Rev. 13(8), 1934–1945 (2009)CrossRefGoogle Scholar
  19. 19.
    Pritchard, G., Zakeri, G., Philpott, A.: A single-settlement, energy-only electric power market for unpredictable and intermittent participants. Oper. Res. 58(4), 1210–1219 (2010)CrossRefGoogle Scholar
  20. 20.
    Schleicher-Tappeser, R.: How renewables will change electricity markets in the next five years. Energy Policy 48, 64–75 (2012)CrossRefGoogle Scholar
  21. 21.
    Schweppe, F.C., Tabors, R.D., Caraminis, M., Bohn, R.E.: Spot Pricing of Electricity. Kluwer, Norwell (1988)CrossRefGoogle Scholar
  22. 22.
    Stoft, S.: Power System Economics: Designing Markets for Electricity. Wiley–IEEE Press, New York (2002)Google Scholar
  23. 23.
    Torriti, J., Hassan, M.G., Leach, M.: Demand response experience in Europe: Policies, programmes and implementation. Energy 35(4), 1575–1583 (2010)CrossRefGoogle Scholar
  24. 24.
    Weber, C.: Adequate intraday market design to enable the integration of wind energy into the European power systems. Energy Policy 38(7), 3155–3163 (2010)CrossRefGoogle Scholar
  25. 25.
    Weron, R.: Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach. Wiley, Chichester (2006)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Juan M. Morales
    • 1
    Email author
  • Antonio J. Conejo
    • 2
  • Henrik Madsen
    • 1
  • Pierre Pinson
    • 3
  • Marco Zugno
    • 1
  1. 1.DTU ComputeTechnical University of DenmarkLyngbyDenmark
  2. 2.University of Castilla – La ManchaCiudad RealSpain
  3. 3.DTU ElektroTechnical University of DenmarkLyngbyDenmark

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