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

access icon openaccess Security margin analysis of wind power participating in black start

The increasing wind power penetration makes it necessary for wind power to participate in system restoration, while the maturing wind power control technology makes it possible. To characterise the security level of the system accommodating a certain amount of wind power during black start, the security margin evaluation indexes of wind power particpating in black start were put forward, based on the influence of wind power on the system recovery. Then, the law of wind speed prediction error was analysed, the representative sample set of future wind conditions was generated by historical simulation method, the worst future wind conditions were obtained at a certain level of confidence, and the solution method of the security margin based on time-domain simulation was given. Additionally, with a specific black-start scheme, general steps to solve the security margin were demonstrated, the ‘wind power integration capacity – security margin’ curves were obtained, and the influence of wind power on system restoration security was analysed from multi-views. At last, the impact of wind speed prediction accuracy on system security margin was explored, and other applications of the presented method were given.

References

    1. 1)
      • 3. Wang, G., Liu, J., Liu, L., et al: ‘Study and simulation on wind storage power generation system black start model’, Int. J. Control Autom., 2016, 9, pp. 3750.
    2. 2)
      • 6. Aktarujjaman, M., Kashem, M.A., Negnevitsky, M., et al: ‘Black start with dfig based distributed generation after major emergencies’, 2006 Int. Conf. Power Electronics, Drives and Energy Systems, 2006, pp. 16.
    3. 3)
      • 8. Lei, Y.-Z., Wang, W.-S., Yin, Y.H., et al: ‘Wind power penetration limit calculation based on chance constrained programming’, Proc. Chin. Soc. Electr. Eng., 2002, 22, pp. 3235.
    4. 4)
      • 9. Liu, Y., Zhang, F., Gu, X., et al: ‘Risk assessment for restoring units following large-scale blackout’, Proc. Chin. Soc. Electr. Eng., 2013, 33, pp. 106113.
    5. 5)
      • 4. Liu, L., Du, P., Wan, Y., et al: ‘Feasibility discussion on using storage-based wind farm as black-start power source in local power grid’, Autom. Electr. Power Syst., 2016, 40, pp. 210216.
    6. 6)
      • 7. State Grid Corporation. ‘Q/GDW 1480-2015 technical rule for wind farm connected to power grid [S]’ (China Electric Power Research Institute, Beijing, 2016).
    7. 7)
      • 5. Yuan, H., Mi, Z., Du, P., et al: ‘Research of the transformer energization control strategy applied for storage-based wind farm self-start’, Proc. 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conf., Chongqing, China, 2016, pp. 543547.
    8. 8)
      • 11. Tang, Y., Bu, G., Yin, Y., et al: ‘PSD-BPA Transient stability program user manual [M]’ (China Electric Power Research Institute, Beijing2008).
    9. 9)
      • 1. Liu, L., Mi, Z., Du, P., et al: ‘DFIG grid connection simulation method used for transient analysis of black-start’, J. Syst. Simul., 2016, 28, pp. 15751585.
    10. 10)
      • 2. Sun, L., Peng, C., Hu, J., et al: ‘Application of type 3 wind turbines for system restoration’, IEEE Trans. Power Syst., 2017, 8, (33), pp. 30403051.
    11. 11)
      • 10. Liu, Y., Zhang, H.: ‘Optimization of units’ restoration sequence based on minimizing risk of electrical energy loss’, Autom. Electr. Power Syst., 2015, 39, pp. 4653.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.9352
Loading

Related content

content/journals/10.1049/joe.2018.9352
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address