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

access icon free Inter-harmonics monitoring method based on PMUs

© The Institution of Engineering and Technology
Received 08/03/2017, Accepted 22/06/2017, Revised 31/05/2017, Published 26/06/2017

More and more inter-harmonics are brought to the power grid due to the integration of renewables and the wide-area deployments of the electronic devices. This may lead to the exacerbation power system stability problems such as the subsynchronous oscillation in western China. The synchronisation and high-reporting rates of phasor measurement units (PMUs) make them an effective tool to monitor the appearance, propagation and distribution of inter-harmonics for protection and control strategies. In this study, the instantaneous powers of the single phase and the three phase that contain inter-harmonics are analysed. The phasor value of the signal containing the inter-harmonics is computed. It is found that the analysis based on the instantaneous power, phasor magnitude or phasor angle cannot distinguish whether the harmonic is subsynchronous or supersynchronous. Then, an inter-harmonics monitoring method that is based on complex numbers of phasor measured by PMUs is proposed in this study. This proposed method has been implemented in the main station of the wide-area measurement system in western China. A number of field data events are used to verify the correctness of the theoretical derivations.

Inspec keywords: synchronisation; phasor measurement; harmonic analysis; power system stability; power system harmonics; power grids

Other keywords: inter-harmonic analysis; phasor magnitude; instantaneous powers; subsynchronous oscillation; power grid; phasor measurement units; electronic devices; power system stability; PMUs; inter-harmonics monitoring method; western China; phasor angle; synchronisation; wide-area measurement system; renewable integration

Subjects: Power supply quality and harmonics; Power system measurement and metering; Power system control

References

    1. 1)
      • 19. Mai, R.K., He, Z.Y., Fu, L., et al: ‘A dynamic synchrophasor estimation algorithm for online application’, IEEE Trans. Power Deliv., 2010, 25, (1), pp. 570–578.
    2. 2)
      • 2. Phadke, A.G., Thorp, J.S., Adamiak, M.G.: ‘A new measurement technique for tracking voltage phasors, local system frequency, and rate of change of frequency’, IEEE Trans. Power Appl. Syst., 1983, 102, (5), pp. 1025–1038.
    3. 3)
      • 7. Navalkar, P.V., Soman, S.A.: ‘Secure remote backup protection of transmission lines using synchrophasors’, IEEE Trans. Power Deliv., 2011, 26, (1), pp. 87–96.
    4. 4)
      • 8. Fan, D., Centeno, V.: ‘Phasor-based synchronized frequency measurement in power systems’, IEEE Trans. Power Deliv., 2007, 22, (4), pp. 2010–2016.
    5. 5)
      • 1. Phadke, A.G., Thorp, J.S.: ‘Synchronized phasor measurements and their applications’ (Springer, 2008), pp. 3–5.
    6. 6)
      • 13. Wu, M., Xie, L., Cheng, L., et al: ‘A study on the impact of wind farm spatial distribution on power system sub-synchronous oscillations’, IEEE Trans. Power Syst., 2016, 31, (3), pp. 2154–2162.
    7. 7)
      • 6. Liu, W., Lin, Z., Wen, F., et al: ‘A wide area monitoring system based load restoration method’, IEEE Trans. Power Syst., 2013, 28, (2), pp. 2025–2034.
    8. 8)
      • 14. Belkin, P.: ‘Event of 10-22-09’. Proc. 2010 CREZ Technical Conf., 2010.
    9. 9)
      • 10. Zhong, Z., Xu, C., Billian, B.J., et al: ‘Power system frequency monitoring network (FNET) implementation’, IEEE Trans. Power Syst., 2005, 20, (4), pp. 1914–1921.
    10. 10)
      • 17. IEEE Std. C37.118.1-2011.: ‘IEEE standard for synchrophasor measurements for power systems’, December 2011.
    11. 11)
      • 12. Dufour, C., Belanger, J.: ‘On the use of real-time simulation technology in smart grid research and development’, IEEE Trans. Ind. Appl., 2014, 50, (6), pp. 3963–3970.
    12. 12)
      • 3. Terzija, V., Valverde, G., Cai, D., et al: ‘Wide-area monitoring, protection, and control of future electric power networks’, Proc. IEEE, 2011, 99, (1), pp. 80–93.
    13. 13)
      • 16. Wu, M., Sun, R., Cheng, L., et al: ‘Parameter sensitivity analysis for sub-synchronous control interactions in wind-integrated power systems’. Proc. 2014 CIGRE Grid of the Future Symp., Houston, TX, USA, 2014.
    14. 14)
      • 11. Gomez-Exposito, A., Abur, A.: ‘Foreword for the special section on synchrophasor applications in power systems’, IEEE Trans. Power Syst., 2013, 28, (2), pp. 1907–1909.
    15. 15)
      • 4. De La Ree, J., Centeno, V., Thorp, J.S., et al: ‘Synchronized phasor measurement applications in power systems’, IEEE Trans. Smart Grid, 2010, 1, (1), pp. 20–27.
    16. 16)
      • 15. Wan, Y.H.: ‘Synchronized phasor data for analyzing wind power plant dynamic behavior and model validation’. Proc. 2013 National Renewable Energy Laboratory, Golden, CO, USA, 2013.
    17. 17)
      • 18. Liu, H., Bi, T., Yang, Q.X.: ‘The evaluation of phasor measurement units and their dynamic behavior analysis’, IEEE Trans. Instrum. Meas., 2013, 62, (6), pp. 1479–1485.
    18. 18)
      • 5. Phadke, A.G., de Moraes, R.M.: ‘The wide world of wide-area measurement’, IEEE Power Energy Mag., 2008, 6, (5), pp. 52–65.
    19. 19)
      • 9. Zhang, Y., Markham, P., Xia, T., et al: ‘Wide-area frequency monitoring network (FNET) architecture and applications’, IEEE Trans. Smart Grid, 2010, 1, (2), pp. 159–167.
    20. 20)
      • 20. Bi, T., Liu, H., Feng, Q., et al: ‘Dynamic phasor model-based synchrophasor estimation algorithm for M class PMU’, IEEE Trans. Power Deliv., 2015, 30, (3), pp. 1162–1171.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2017.0375
Loading

Related content

content/journals/10.1049/iet-gtd.2017.0375
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address