Skip to main content

Wind Power Balancing

  • Reference work entry
  • First Online:
  • 4702 Accesses

Definition of the Subject

Wind power balancing considers the challenge to keep a continuous balance between total production and total consumption in a power system. The varying wind speed introduces special considerations concerning how to keep this balance in an efficient way. This article is mainly focused on wind power as a part of a larger power system.

Introduction

In a power system there is always a challenge to keep the balance between total production and total consumption. This challenge has existed ever since the first power systems were installed more than 100 years ago. Since 1970 the amount of wind power has grown from a marginal source to levels of more than 50% during some situations in certain parts of some systems. This increase is expected to continue, which means new challenges and requirement of new methods to keep the requested balance in an efficient way.

This chapter provides an overview about the challenges that are faced with the integration of large-scale...

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   849.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   549.99
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

Learn about institutional subscriptions

Abbreviations

Primary control:

The instant reaction in a power system to keep the continuous balance between production and consumption.

Secondary control:

Normally automatic changes in the production system in order to release used primary controlled units.

Control area:

A change in production or consumption in a certain control area will cause an automatic response from the secondary controlled units in the same control area.

Regulating capacity:

The power plants and consumers which can change their production or consumption when requested in order to keep the balance.

Balancing market:

A market where regulating capacity can be bid in and the best offers are then used when balancing is needed.

Balancing reserves:

Regulating capacity that is bid into a balancing market.

Balancing area:

A change in production or consumption in a certain balancing area will cause an automatic or manual response from the regulating capacity in the same balancing area.

Bibliography

Primary Literature

  1. Söder L (2002) Explaining power system operation to nonengineers. Power Eng Rev, April 2002

    Google Scholar 

  2. Hirvonen R (2000) Material for course S-18.113 Sähköenergiajärjestelmät. Helsinki University of Technology Power systems laboratory, 2000 (in Finnish)

    Google Scholar 

  3. ETSO-2006 (2006) An overview of current cross-border congestion management methods in Europe, European Transmission System Operators, May 2006, available from http://www.entsoe.eu/

  4. Kristoffersen JR (2005) The horns rev wind farm and the operational experience with the wind farm main controller. In: Proceedings of Copenhagen Offshore Wind, October 2005, Copenhagen, Denmark

    Google Scholar 

  5. Holttinen H, Milligan M, Kirby B, Acker T, Neimane V, Molinski T (2008) Using standard deviation as a measure of increased operational reserve requirement for wind power. Wind Eng 32(4):355–377

    Article  Google Scholar 

  6. Milligan M, Porter K, DeMeo E, Denholm P, Holttinen H, Kirby B, Miller N, Mills A, O’Malley M, Schuerger M, Soder L (2009) Wind power myths debunked. IEEE Power Energy Mag 7(6):89–99

    Article  Google Scholar 

  7. Soder L, Hofmann L, Orths A, Holttinen H, Wan Y, Tuohy A (2007) Experience from wind integration in some high penetration areas. IEEE T Energy Conver 22(1):4–12

    Article  Google Scholar 

  8. Holttinen H, Meibom P, Orths A, van Hulle F, Lange B, O’Malley M, Pierik J, Ummels B, Tande JO, Estanqueiro A, Matos M, Gomez E, Söder L, Strbac G, Shakoor A, Ricardo J, Smith JC, Milligan M, Ela E (2009) Design and operation of power systems with large amounts of wind power. Final report, IEA WIND Task 25, Phase one 2006–2008. Espoo, VTT. 200 p. + app. 29 p. VTT Tiedotteita – Research Notes 2493. http://www.vtt.fi/inf/pdf/tiedotteet/2009/T2493.pdf

  9. Ernst B (1999) Analysis of wind power ancillary services characteristics with German 250 MW wind data. NREL Report No. TP-500-26969. 38 p. http://www.nrel.gov/publications/

  10. Focken U, Lange M, Waldl H-P (2001) Previento – a wind power prediction system with an innovative upscaling algorithm. In: Proceedings of EWEC’01, 2nd–6th July, 2001, Copenhagen, pp 826–829

    Google Scholar 

  11. Holttinen H (2004) The impact of large scale wind power production on the Nordic electricity system. PhD dissertation. VTT Publications 554. Espoo, VTT Processes. 82 p. + app. 111 p. http://www.vtt.fi/inf/pdf/publications/2004/P554.pdf

  12. Wan Y (2005) Fluctuation and ramping characteristics of large wind power plants. Windpower 2005 (Windpower 05) Conference and Exhibition (CD-ROM), 15–18 May 2005, Denver, Colorado. Washington, DC: American Wind Energy Association; Content Management Corp. NREL Report No. CP-500-38057. 13 p

    Google Scholar 

  13. EWEA (2005) Large scale integration of wind energy in the European power supply: analysis, issues and recommendations (December 2005). http://www.ewea.org/

  14. IEA (2005) Variability of wind power and other renewables. Management options and strategies. http://www.iea.org/Textbase/publications/free_new_Desc.asp? PUBS_ID = 1572

  15. Giebel G (2007) A variance analysis of the capacity displaced by wind energy in Europe. Wind Energy 10:69–79

    Article  Google Scholar 

  16. Holttinen H, Meibom P, Orths A, Lange B, O’Malley M, Tande JO, Estanqueiro A, Gomez E, Söder L, Strbac G, Smith JC, van Hulle, F. (2010) Impacts of large amounts of wind power on design and operation of power systems, results of IEA collaboration. Submitted and accepted to Wind Energy journal

    Google Scholar 

  17. ISET (2005) Wind energy report Germany 2005. ISET, Kassel

    Google Scholar 

  18. Giebel G, Brownsword R, Kariniotakis G (2003) The state-of-the-art in short-term prediction of wind power. A literature overview. EU project ANEMOS (ENK5-CT-2002-00665). http://anemos.cma.fr

  19. Kariniotakis G et al (2006) Next generation forecasting tools for the optimal management of wind generation. In: Proceedings PMAPS Conference, Probabilistic Methods Applied to Power Systems, KTH, Stockholm, Sweden, June 2006

    Book  Google Scholar 

  20. Focken U (2007) Optimal combination of European weather models for improved wind power predictions. In: Proceedings of EWEC’07, 7th–10th May, 2007, Milan, Italy

    Google Scholar 

  21. Lange B, Cali Ü, Jursa R, Mackensen R, Rohrig K, Schlögl F (2006) Strategies for balancing wind power in Germany. In: German Wind Energy Conference DEWEK 2006, Bremen, November 2006

    Google Scholar 

  22. Holttinen H, Stenberg A (2008) Tuulivoiman tuotantotilastot. Vuosiraportti 2008. Espoo, VTT. 47 s. + liitt. 8 s. VTT Working Papers; 132. http://www.vtt.fi/inf/pdf/workingpapers/2009/W132.pdf

  23. Dragoon K, Milligan M (2003) Assessing wind integration costs with dispatch models: A case study. Windpower, Austin

    Google Scholar 

  24. Milligan M, Kirby B (2007) The impact of balancing areas size, obligation sharing, and ramping capability. In: Proceedings of the WindPower 2007 Conference, June 3–5, 2007. Los Angeles, CA, USA. NREL-CP-500-41809. http://www.nrel.gov/docs/fy07osti/41809.pdf

  25. Kirby B, Milligan M, Makarov Y, Hawkins D, Jackson K, Shiu H (2003) California Renewables Portfolio Standard. Renewable generation integration cost analysis. Phase I: One year analysis of existing resources. Results and recommendations. California Energy Commission/California Public Utilities Commission. http://cwec.ucdavis.edu/rpsintegration/

  26. Dany G (2001) Power reserve in interconnected systems with high wind power production. In: IEEE Power Tech Conference, 10–15th September, 2001, Porto, Portugal

    Google Scholar 

  27. Soder L (1993) Reserve margin planning in a wind-hydro-thermal power system. IEEE Trans Power Syst 8(2):564–571

    Article  Google Scholar 

  28. Milligan M (2003) Wind power plants and system operation in the hourly time domain. In: Proceedings of Windpower 2003 Conference. May 18–21, 2003 Austin, Texas, USA. NREL/CP-500-33955. http://www.nrel.gov/publications/

  29. Kirby B, Hirst E (2000) Customer-specific metrics for the regulation and load following ancillary services. ORNL/CON-474, Oak Ridge National Laboratory, Oak Ridge TN, January 2000

    Book  Google Scholar 

  30. Holttinen H (2005) Impact of hourly wind power variations on the system operation in the Nordic countries. Wind Energy 8(2):197–218

    Article  Google Scholar 

  31. EnerNex/WindLogics (2006) Minnesota Wind Integration Study Final Report. vol I, prepared for Minnesota Public Utilities Commission, November 2006. http://www.puc.state.mn.us/portal/groups/public/documents/pdf_files/000664.pdf

  32. EnerNex Corporation (2007) Final Report – Avista Corporation Wind Integration Study. Avista Utilities. http://www.uwig.org/AvistaWindIntegrationStudy.pdf

  33. Idaho Power Corporation (2007) Operational impacts of integrating wind generation into idaho power’s existing resource portfolio. http://www.idahopower.com/pdfs/energycenter/wind/windIntegrationstudy.pdf

  34. GE Energy (2007) Californian intermittency analysis. http://www.uwig.org/CEC-500-2007-081-APA.pdf

  35. GE (2006) Ontario Wind Integration Study. Final Report to: Ontario Power Authority (OPA), Independent Electricity System Operator (IESO) and Canadian Wind Energy Association (CanWEA). http://www.uwig.org/OPA-Report-200610-1.pdf

  36. Soder L (2008) On methodology for modelling wind power impact on power systems (R. Inst. Technol., Stockholm, Sweden); Holttinen H (2008) International Journal of Global Energy Issues, 29(1–2):181–198

    Google Scholar 

  37. Axelsson U, Murray R, Neimane V (2005) 4000 MW wind power in Sweden – Impact on regulation and reserve requirements. Elforsk Report 05:19, Stockholm, 2005. http://www.elforsk.se

  38. Ilex, UMIST, UCD and QUB (2004) Operating reserve requirements as wind power penetration increases in the Irish electricity system. Sustainable Energy Ireland, 2004

    Google Scholar 

  39. Strbac G, Shakoor A, Black M, Pudjianto D, Bopp T (2007) Impact of wind generation on the operation and development of the UK electricity systems. Electr Power Syst Res 77(9):1143–1238, Elsevier

    Article  Google Scholar 

  40. Planning of the grid integration of wind energy in Germany onshore and offshore up to the year 2020 (Dena Grid study). Deutsche Energie-Agentur Dena, March 2005. English summary and full German version http://www.dena.de/themen/thema-reg/projektarchiv/

  41. Porter et al (2007) Intermittency analysis Final report. July, 2007. http://www.uwig.org/CEC-500-2007-081.pdf

  42. Kraftnät S (2008) Large scale expansion of wind power – consequences for the transmission grid and need of regulation power. http://www.svk.se/Global/01_Om_oss/Pdf/Rapporter/ 080601_Bilaga_vindkraftrapport_2008.pdf (In Swedish)

  43. Meibom P, Weber C, Barth R, Brand H (2009) Operational costs induced by fluctuating wind power production in Germany and Scandinavia. IET Renew Energy Gener 3(1):75–83, March 2009

    Article  Google Scholar 

  44. Strbac G (2002) Ilex Energy. Quantifying the system costs of additional renewables in 2020. DTI, 2002. http://www.dti.gov.uk/energy/developep/080scar_report_v2_0.pdf

  45. Zavadil R (2006) Wind Integration Study for Public Service Company of Colorado. May 22, 2006. http://www.xcelenergy.com/XLWEB/CDA/0,3080,1-1-1_1875_15056_15473-13518-2_171_258-0,00.html

  46. EnerNex/WindLogics (2004) Xcel North study (Minnesota Department of Commerce). http://www.state.mn.us/cgi-bin/portal/mn/jsp/content.do?contentid = 536904447&contenttype = EDITORIAL&hpage = true&agency = Commerce

  47. Shiu H, Milligan M, Kirby B, Jackson K (2006) California Renewables Portfolio Standard Renewable Generation Integration Cost Analysis. California Energy Commission, PIER Public Interest Energy Research Programme. http://www. energy.ca.gov/pier/final_project_reports/CEC-500-2006-064.html

  48. PacifiCorp (2005) Integrated Resource Planning. http://www.pacificorp.com/Navigation/Navigation23807.html

  49. Holttinen H, Saarikivi P, Repo S, Ikäheimo J, Koreneff G (2006) Prediction errors and balancing costs for wind power production in finland. In: Proceedings of 6th workshop on Offshore and Large Scale Integration of Wind Power, 25–26th October, 2006, Delft, The Netherlands

    Google Scholar 

  50. Neimane V, Carlsson F (2008) A massive introduction of wind power. Changed market conditions? Elforsk report 08:41. http://www.vindenergi.org/Vindforskrapporter/v_132.pdf

  51. Brandberg M, Broman N (2007) Future trading with regulating power, Magnus Brandberg and Niclas Broman, Master’s Thesis, Uppsala Universitet. An updated version, together with Nilsson, in Minerals and Energy – Raw Materials Report, vol 23(1): March 2008, pp 1–11

    Google Scholar 

  52. Helander A, Holttinen H, Paatero J (2010) Impact of wind power on the power system imbalances in Finland. Accepted to IET Renewable Power Generation Journal

    Google Scholar 

  53. FGE/FGH/ISET: Bewertung der Optimierungspotenziale zur Integration der Stromerzeugung aus Windenergie in das Übertragungsnetz (2007) http://www.erneuerbare-energien.de/inhalt/42024/4591/

  54. Holttinen H, Koreneff G (2007) Imbalance costs of wind power for a hydro power producer in Finland. In: Proceedings. European Wind Energy Conference EWEC2007. Milan, Italy, 7–10 May, 2007. European Wind Energy Association, EWEA

    Google Scholar 

  55. Energinet.dk: System Plan (2007) www.energinet.dk

  56. Eriksen PB, Orths A (2008) Challenges and Solutions of Increasing from 20 to 50 Percent of Wind Energy Coverage in the Danish Power System until 2025; Invited Keynote Paper. In: Proceedings of the 7th international Workshop on Large Scale Integration of Wind Power and on Transmission Networks for Offshore Wind Farms; 26–28 May 2008, Madrid, Spain

    Google Scholar 

  57. Ummels BC (2009) Power system operation with large-scale wind power in liberalised environments. PhD thesis, Delft University of Technology, The Netherlands, 192 p

    Google Scholar 

  58. All Island Grid Study (2008) http://www.dcenr.gov.ie/Energy/North-South + Co-operation+in + the + Energy + Sector/All + Island + Electricity + Grid + Study.htm

  59. The Effects of Integrating Wind Power on Transmission System Planning, Reliability, and Operations. Report on Phase 2, GE Energy. Prepared for The New York State Energy Research and Development Authority, City, State, March 2005. http://www.nyiso.com/public/services/planning/special_studies.jsp

  60. Van Hulle F, Tande JO, Uhlen K, Warland L, Korpås M, Meibom P, Sørensen P, Morthorst PE, Cutululis N, Larsen H, Woyte A, Verheij F, Kleinschmidt C, Moldovan N, Holttinen H, Lemström B, Uski-Joutsenvuo S, Gardner P, Purchala K, Tiedemann A, Kreutzkamp P (2009) Final Report TradeWind. http://www.trade-wind.eu

  61. Matevosyan J (RigaTechnical Univ., Riga, Latvia) (2004) Estimation of potential wind energy curtailment for wind power plants in power systems with bottleneck problems; Soder L (2004) EPE-PEMC 2004 11th International Power Electronics and Motion Control Conference, vol 5, pp 5–502

    Google Scholar 

Books and Reviews

  • Söder L (2004) On limits for wind power generation. Int J Global Energy Issues 21(3):243–254

    Article  Google Scholar 

  • Söder L (2005) The value of wind power. In: Ackermann T (ed) Wind power in power systems. Wiley, ISBN 0-470-85508-8

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lennart Söder .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this entry

Cite this entry

Söder, L., Holttinen, H. (2013). Wind Power Balancing. In: Kaltschmitt, M., Themelis, N.J., Bronicki, L.Y., Söder, L., Vega, L.A. (eds) Renewable Energy Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5820-3_85

Download citation

Publish with us

Policies and ethics