Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Comparison of integration solutions for wind power in the Netherlands

Comparison of integration solutions for wind power in the Netherlands

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 Renewable Power Generation — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

In this study, a commercially available unit commitment and economic despatch (UC–ED) tool is extended for the simulation of wind power integration in an international environment. An existing generation unit database for the Netherlands is extended to include conventional generation portfolios of neighbouring areas to the Netherlands. Furthermore, wind power in Germany is modelled such that the spatial correlation between wind speeds at different locations in the Netherlands and Germany is maintained. These additions allow the assessment of the benefits of international exchange for wind power integration and a comparison with other integration solutions. The UC–ED tool is applied for annual simulations of a power system with generation portfolios foreseen for the year 2014. Four variants for international exchange possibilities are investigated for different wind power penetrations. The opportunities of the following integration solutions are assessed: use of conventional generation in isolated systems,use of international markets, flexible combined heat and power (CHP), pumped hydro energy storage, compressed air energy storage and interconnection to a hydro-based system. The solutions are placed in an order of potential with respect to technical, economical and environmental aspects. The results show that the advantages of international exchange for wind power integration are large and provide an alternative for the development of energy storage facilities.

References

    1. 1)
      • Meibom, P., Larsen, H.V., Barth, R., Brand, H., Weber, C., Voll, O.: `Wilmar joint market model documentation, Risø-R-1552', Technical Report, 2004, p. 60, [Risø National Laboratory] [Online], available: http://www.wilmar.risoe.dk/.
    2. 2)
    3. 3)
      • Consumption data’ available online at.
    4. 4)
      • Pedersen, J., Eriksen, P.B.: `Simulation model including stochastic behaviour of wind', Proc. Fourth Int. Workshop on Large-Scale Integration of Wind Power and Transmission Networks for Offshore Wind Farms, 20–21 October 2003, Billund, Denmark, p. 5.
    5. 5)
      • , : `Vision 2030', Technical Report, 2008, available online at http://www.tennet.org/english/, last accessed October 2008.
    6. 6)
      • National Grid: available online at http://www.nationalgrid.com/uk/electricity/sys/, last accessed October 2008.
    7. 7)
    8. 8)
      • , : `System adequacy forecast 2008–2020', Technical Report, 2008, available online at http://www.ucte.org/resources/publications/systemadequacy/, last accessed October 2008.
    9. 9)
      • Dimitrovski, A., Tomsovic, K.: `Impact of wind generation uncertainty on generating capacity adequacy', Proc. Ninth Int. Conf. Probabilistic Methods Applied to Power Systems, 11–15 June 2006, Stockholm, Sweden, p. 6.
    10. 10)
      • Holttinen, H.: `The impact of large scale wind power production on the Nordic electricity system', 2004, PhD, Helsinki University of Technology, Finland.
    11. 11)
      • (2008) Net transfer capacities matrix.
    12. 12)
    13. 13)
      • van Wijk, A.J.M.: `Wind energy and electricity production', 1990, PhD, Universiteit Utrecht, The Netherlands.
    14. 14)
      • M. Gibescu , A.J. Brand , W.L. Kling . Estimation of variability and predictability of large-scale wind energy in the Netherlands. Wind Energy
    15. 15)
      • Ummels, B.C.: `Power system operation with large-scale wind power in liberalised environments', 2009, PhD, Delft University of Technology, The Netherlands.
    16. 16)
      • European Wind Energy Association: available online at http://www.ewea.org/, last accessed October 2008.
    17. 17)
    18. 18)
      • European Commission – Eurostat Homepage: available online at http://epp.eurostat.ec.europa.eu/, last accessed October 2008.
    19. 19)
      • , : `Quality and capacity plan 2008–2014', Technical Report, 2008, available online at http://www.tennet.org/english/, last accessed October 2008.
    20. 20)
      • International Energy Agency: World Energy Outlook 2008. 2008, available online at http://www.worldenergyoutlook.org/, last accessed October 2008.
    21. 21)
      • Operation Simulation Associates, Inc. ‘PowrSym3 User's Manual v361d2’ Technical Report.
    22. 22)
    23. 23)
      • , : `Onderzoek naar de Toegevoegde Waarde van Grootschalige Elektriciteitsopslag in Nederland (in Dutch)', Technical Report, 2008.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2008.0080
Loading

Related content

content/journals/10.1049/iet-rpg.2008.0080
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address