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

access icon free Cross-gramian-based dynamic equivalence of wind farms

This study presents dynamic equivalence of wind farms using the cross-gramian (CG)-based model order reduction method. For the purpose of wind fluctuation simulation, the dynamic model of wind farms can be described as a high-order linear input–output system, whose input is the wind speed and output is the active power injected from point of common coupling (PCC). The main input–output behaviours of the system can be measured by its CG. The right and left eigenspaces associated with large eigenvalues of CG are used to obtain a low-order model. Frequency-domain analysis of wind farms consisted of doubly-fed induction generators shows that the proposed method is rapid and numerically stable. The non-linear dynamic simulation also confirms that the reduced model is capable of retaining the dynamic relationship between the input and output of original wind farms. The proposed method offers a potential solution to dynamic simulation of the power system with large-scale wind farms.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
      • 26. Rommes, J.: ‘Methods for eigenvalue problems with applications in model order reduction’. PhD thesis, Utrecht University, Utrecht, 2007.
    13. 13)
      • 20. Pulgar-Painemal, H.A.: ‘Wind farm model for power system stability analysis’. PhD thesis, University of Illinois at Urbana-Champaign, Urbana, 2011.
    14. 14)
    15. 15)
    16. 16)
    17. 17)
      • 27. Baur, U., Benner, P.: ‘Cross-gramian based model reduction for data-sparse systems’, Electron. Trans. Numer. Anal., 2008, 31, pp. 256270.
    18. 18)
      • 6. Liu, H., Chen, Z.: ‘Aggregated modelling for wind farms for power system transient stability studies’. Power and Energy Engineering Conf. (APPEEC), Shanghai, China, March 2012, pp. 2527.
    19. 19)
    20. 20)
    21. 21)
      • 25. Himpe, C., Ohlberger, M.: ‘Cross-gramian based combined state and parameter reduction’. Available at http://arxiv.org/abs/1302.0634, accessed 1 May 2015.
    22. 22)
    23. 23)
    24. 24)
    25. 25)
    26. 26)
    27. 27)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2015.0746
Loading

Related content

content/journals/10.1049/iet-gtd.2015.0746
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address