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

Synchrophasor measurement-based correlation approach for dominant mode identification in bulk power systems

Synchrophasor measurement-based correlation approach for dominant mode identification in bulk power systems

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 proposes a novel synchrophasor measurement-based correlation approach to identify the dominant oscillation modes in bulk power systems. In the proposed approach, the reference channel (RC) of cross-correlation (CC) is optimally selected based on residue analysis. With the selected RC, the CC of field-measurement data is formed to extract the free-decay system responses. Then, eigensystem realisation algorithm (ERA) is applied to the extracted responses to estimate the system state-space model. A practical model order selection strategy for ERA is proposed to determine the system model order. Further, cross-coherence spectrum is employed to distinguish the dominant modes from the eigenvalues of the estimated state-space model. The proposed method can achieve accurate and robust solutions in the presence of different levels of errors and noises in measurement data. The effectiveness of the proposed method has been verified in a 16-generator, 68-bus test system as well as the China Southern Power Grid system.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • 4. Huang, Z., Zhou, N., Tuffner, F., et al: ‘Use of modal sensitivity to operating conditions for damping control in power systems’. 44th Hawaii Int. Conf. on System Sciences, 2011, pp. 47.
    5. 5)
      • 5. Huang, Z., Zhou, N., Tuffner, F., et al: ‘Modal analysis for grid operation (MANGO): feasibility, solution methods, and application to the WECC system’. Report for California Energy Commission, 2010.
    6. 6)
      • 6. Kundur, P.: ‘Power system stability and control’ (McGraw-Hill, New York, 1994).
    7. 7)
      • 7. Rogers, G.: ‘Power system oscillation’ (Kluwer Academic Publishers, Boston, 2000).
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
    16. 16)
      • 16. Pierre, D., Trudnowski, D., Hauer, J.: ‘Identifying reduced-order models for large nonlinear systems with arbitrary initial conditions and multiple outputs using Prony signal analysis’. 1990 American Control Conf., San Diego, CA, 1990, pp. 149154.
    17. 17)
      • 17. Zhou, N., Huang, Z., Tuffner, F., et al: ‘Automatic implementation of Prony analysis for electromechanical mode identification from phasor measurements’. IEEE PES General Meeting, Minneapolis, MN, 2010, pp. 2529.
    18. 18)
    19. 19)
      • 19. Zhang, J., Nabavi, S., Chakrabortty, A., et al: ‘Delay optimization problems for the distributed communication and computational network for wide-area monitoring and control applications in large power systems’. IEEE PES General Meeting, National Harbor, MD, 2015.
    20. 20)
      • 20. Chompoobutrgool, Y., Vanfretti, L.: ‘Analysis of time delay effects for wide-area damping control design using dominant path signals’. IEEE PES General Meeting, National Harbor, MD, 2014, pp. 15.
    21. 21)
    22. 22)
    23. 23)
    24. 24)
      • 24. Bartkowicz, T., James, G.: ‘Ares 1-X in-flight modal identification’. Proc. of 52nd AIAA/ASME/AHS/ASC SDM Conf., Boulder, CO, 2011, pp. 48.
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
      • 29. Jiang, T., Mu, Y.F., Jia, H.J.: ‘A novel dominant mode estimation method for analyzing inter-area oscillation in China southern power grid’, IEEE Trans. Smart Grid, PP, (99), pp. 1–12, DOI: 10.1109/TSG.2016.2533621.
    30. 30)
      • 30. CSG Dispatching and Control Center: ‘Operation mode of CSG in 2013’, January.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2015.1316
Loading

Related content

content/journals/10.1049/iet-gtd.2015.1316
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address