Skip to main content

Virtual Power Plants

  • Chapter
  • First Online:
Book cover Integrating Renewables in Electricity Markets

Abstract

The power systems of the future are expected to rely more and more on small-scale generation sources, flexible loads, and storage units at the distribution level as a way to increase the share of renewable energy in the electricity supply, while ensuring the security, reliability, and integrity of the electrical infrastructure. Owing to their reduced size, number, varied nature, and dispersed character, distributed energy sources are to be operated in aggregations or clusters, which have come to be called Virtual Power Plants (VPP). This chapter first introduces and motivates the concept of a VPP, then provides the basics on the mathematical modeling of its constituent parts, and finally explores, using a battery of illustrative examples, different approaches to efficiently running a VPP that includes weather-driven renewable energy sources.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Arroyo, J., Conejo, A.: Optimal response of a thermal unit to an electricity spot market. IEEE Trans. Power Syst. 15(3), 1098–1104 (2000)

    Article  Google Scholar 

  2. Bertsimas, D., Brown, D., Caramanis, C.: Theory and applications of robust optimization. SIAM Rev. 53(3), 464–501 (2011)

    Article  Google Scholar 

  3. Bertsimas, D., Sim, M.: The price of robustness. Oper. Res. 52(1), 35–53 (2004)

    Article  Google Scholar 

  4. Birge, J.R., Louveaux, F.: Introduction to Stochastic Programming, 2nd edn. Springer Series in Operations Research and Financial Engineering. Springer, New York (2011)

    Google Scholar 

  5. Chao, H., Huntington, H.: Designing Competitive Electricity Markets. Fred Hillier’s International Series in Operations Research & Management Science. Kluwer Academic Publishers, Boston, MA (1998)

    Google Scholar 

  6. Conejo, A.J., Carrión, M., Morales, J.: Decision Making Under Uncertainty in Electricity Markets. International Series in Operations Research & Management Science. Springer Verlag, New York (2010)

    Book  Google Scholar 

  7. Djapic, P., Ramsay, C., Pudjianto, D., Strbac, G., Mutale, J., Jenkins, N., Allan, R.: Taking an active approach. IEEE Power Energy Mag. 5(4), 68–77 (2007)

    Article  Google Scholar 

  8. Fang, X., Misra, S., Xue, G., Yang, D.: Smart grid—The new and improved power grid: A survey. IEEE Commun. Surv. Tutor. 14(4), 944–980 (2012)

    Google Scholar 

  9. Giebel, G., Brownsword, R., Kariniotakis, G., Denhard, M., Draxl, C.: The State-Of-The-Art in Short-Term Prediction of Wind Power. ANEMOS.plus (2011) Project funded by the European Commission under the 6th Framework Program, Priority 6.1: Sustainable Energy Systems

    Google Scholar 

  10. Hedegaard, K., Meibom, P.: Wind power impacts and electricity storage—A time scale perspective. Renew. Energy 37(1), 318–324 (2012)

    Google Scholar 

  11. Karangelos, E., Bouffard, F.: Towards full integration of demand-side resources in joint forward energy/reserve electricity markets. IEEE Trans. Power Syst. 27(1), 280–289 (2012)

    Article  Google Scholar 

  12. Khodaei, A., Shahidehpour, M., Bahramirad, S.: SCUC with hourly demand response considering intertemporal load characteristics. IEEE Trans. Smart Grid 2(3), 564–571 (2011)

    Google Scholar 

  13. Mashhour, E., Moghaddas-Tafreshi, S.: Bidding strategy of virtual power plant for participating in energy and spinning reserve markets—Part I: Problem formulation. IEEE Trans. Power Syst. 26(2), 949–956 (2011)

    Article  Google Scholar 

  14. Mashhour, E., Moghaddas-Tafreshi, S.: Bidding strategy of virtual power plant for participating in energy and spinning reserve markets—Part II: Numerical analysis. IEEE Trans. Power Syst. 26(2), 957–964 (2011)

    Article  Google Scholar 

  15. Pandžíc, H., Morales, J.M., Conejo, A.J., Kuzle, I.: Offering model for a virtual power plant based on stochastic programming. Appl. Energy 105, 282–292 (2013)

    Article  Google Scholar 

  16. Pepermans, G., Driesen, J., Haeseldonckx, D., Belmans, R., D’haeseleer, W.: Distributed generation: Definition, benefits and issues. Energy policy 33(6), 787–798 (2005)

    Google Scholar 

  17. Schleicher-Tappeser, R.: How renewables will change electricity markets in the next five years. Energy Policy 48, 64–75 (2012)

    Article  Google Scholar 

  18. Soyster, A.: Convex programming with set-inclusive constraints and applications to inexact linear programming. Oper. Res. 21(5), 1154–1157 (1973)

    Article  Google Scholar 

  19. Stoft, S.: Power System Economics: Designing Markets for Electricity. John Wiley & Sons – IEEE Press, New York (2002)

    Google Scholar 

  20. Vittal, V.: The impact of renewable resources on the performance and reliability of the electricity grid. Bridge 23(1), 5–12 (2010)

    Google Scholar 

  21. Wu, H., Shahidehpour, M., Khodayar, M.: Hourly demand response in day-ahead scheduling considering generating unit ramping cost. IEEE Trans. Power Syst. 28(3), 2446–2454 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juan M. Morales .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this chapter

Cite this chapter

Morales, J., Conejo, A., Madsen, H., Pinson, P., Zugno, M. (2014). Virtual Power Plants . In: Integrating Renewables in Electricity Markets. International Series in Operations Research & Management Science, vol 205. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-9411-9_8

Download citation

Publish with us

Policies and ethics