http://iet.metastore.ingenta.com
1887

Comparison of two energy storage options for optimum balancing of wind farm power outputs

Comparison of two energy storage options for optimum balancing of wind farm power outputs

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

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(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 presents a simple methodology for analysing and optimising combined wind generation and storage schemes, using both technical and economic performance criteria. The study provides a detailed analysis of the performance of two storage options for such a scheme: pumped storage hydro (PSH) and battery energy storage systems (BESSs). The analysis is carried out using recorded data from an actual UK wind farm (WF), information on the UK electricity market, and currently available PSH and BESS storage technologies to estimate and compare performance of the considered wind generation–storage schemes over the entire lifetime. The results show that an optimised generation–storage scheme can significantly reduce the variability of power outputs and increase the profitability of the WF. It is further shown that optimised PSH-based schemes have better economic performance than BESS schemes, as the latter are limited by the short discharge times. The approach developed in this study could be used during the initial design and planning stages, in order to select and optimise the type and size of energy storage for a combined wind generation–storage scheme.

References

    1. 1)
      • 1. Department of Energy & Climate Change, DECC (2013). Energy Trends: June 2013, Special feature articles: Renewable energy in 2012. Renewable Statistics, pp. 4960.
    2. 2)
      • 2. European Commission. (2013). Overview of projects by country. [Online] Available at http://www.ec.europa.eu/energy/infrastructure/pci/doc/2013_pci_projects_country.pdf.
    3. 3)
    4. 4)
      • 4. IEA. (2009). Prospects for Large-Scale Energy Storage in Decarbonised Power Grids. [Online] Available at http://www.iea.org/publications/freepublications/publication/energy_storage.pdf.
    5. 5)
    6. 6)
    7. 7)
      • 7. Swierczynski, M., Teodorescu, R., Rasmussen, C.N., et al: ‘Overview of the energy storage systems for wind power integration enhancement’. IEEE Int. Symp. on Industrial Electronics (ISIE), Bari, 4–7 July 2010, pp. 37493756.
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
      • 15. Teixeira, F., Sousa, J., Faias, S.: ‘A pumped storage hydro unit operation with increasing degrees of market power: standalone and portfolio integration’. Tenth Int. Conf. on the European Energy Market (EEM), Stockholm, 27–31 May 2013.
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
    23. 23)
      • 23. Bayar, T.: ‘Batteries for energy storage: new developments promise grid flexibility and stability’, Renew. Energy World, 2011, 14, (4).
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
      • 29. Hayes, B.P.: ‘Distributed generation and demand side management: applications to transmission system operation’, PhD thesis, The University of Edinburgh, 2013.
    30. 30)
      • 30. IMECHE. (2014). Energy Storage – The missing link in the UK's Energy Commitments. [Online] Available at http://www.imeche.org/knowledge/themes/energy/energy-storage.
    31. 31)
      • 31. Testa, A., Langella, R., Manco, T.: ‘Markovian approaches to model wind speed of a site and power availability of a wind turbine’, in Al-Bahadly, I. (ED.), Wind Turbines, InTec2011.
    32. 32)
      • 32. Hayes, B.P., Djokic, S.Z.: ‘Advanced Markovian wind energy models for smart grid applications’. Fourth IEEE/PES Innovative Smart Grid Technologies Europe (ISGT EUROPE) Conf.2013.
    33. 33)
      • 33. Vestas. (2014). V90–3.0MW Wind Turbine at a Glance.
    34. 34)
    35. 35)
      • 35. Hayes, B.P., Collin, A.J., Gil, I.H., et al: ‘All-scale modelling of wind generation and responsive demand in power system studies’. IEEE PES General Meeting, San Diego, CA, 2012.
    36. 36)
      • 36. Hayes, B.P., Ilie, I., Porpodas, A., et al: ‘Equivalent power curve model of a wind farm based on field measurement data’. IEEE PowerTech 2011 Conf.2011.
    37. 37)
      • 37. APX Power UK Spot Exchange.: ‘Daily UKPX Auction Index.’ [Online] Available at http://www.apxgroup.com/trading-clearing/apx-power-uk/2014.
    38. 38)
      • 38. MWH: ‘Technical analysis of pumped storage and integration with wind power in the pacific northwest’. Final Report, Northwest Division, Hydroelectric Design Center2009.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2015.0486
Loading

Related content

content/journals/10.1049/iet-gtd.2015.0486
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address