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A New Indicator of Transient Stability for Controlled Islanding of Power Systems: Critical Islanding Time

Author

Listed:
  • Zhenzhi Lin

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yuxuan Zhao

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Shengyuan Liu

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Fushuan Wen

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yi Ding

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Li Yang

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Chang Han

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Hao Zhou

    (School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Hongwei Wu

    (State Grid Zhejiang Ningbo Power Supply Company, Ningbo 315000, China)

Abstract

Transient stability after islanding is of crucial importance because a controlled islanding strategy is not feasible if transient stability cannot be maintained in the islands created. A new indicator of transient stability for controlled islanding strategies, defined as the critical islanding time (CIT), is presented for slow coherency-based controlled islanding strategies to determine whether all the islands created are transiently stable. Then, the stable islanding interval (SII) is also defined to determine the appropriate time frame for stable islanding. Simulations were conducted on the New England test system–New York interconnected system to demonstrate the characteristics of the critical islanding time and stable islanding interval. Simulation results showed that the answer for when to island could be easily reflected by the proposed CIT and SII indicators. These two indicators are beneficial to power dispatchers to keep the power systems transiently stable and prevent widespread blackouts.

Suggested Citation

  • Zhenzhi Lin & Yuxuan Zhao & Shengyuan Liu & Fushuan Wen & Yi Ding & Li Yang & Chang Han & Hao Zhou & Hongwei Wu, 2018. "A New Indicator of Transient Stability for Controlled Islanding of Power Systems: Critical Islanding Time," Energies, MDPI, vol. 11(11), pages 1-10, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:2975-:d:179719
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    References listed on IDEAS

    as
    1. Chang Han & Yuxuan Zhao & Zhenzhi Lin & Yi Ding & Li Yang & Guanqiang Lin & Tianwen Mo & Xiaojun Ye, 2018. "Critical Lines Identification for Skeleton-Network of Power Systems under Extreme Weather Conditions Based on the Modified VIKOR Method," Energies, MDPI, vol. 11(6), pages 1-18, May.
    2. Honglei Song & Junyong Wu & Kui Wu, 2014. "A Wide-Area Measurement Systems-Based Adaptive Strategy for Controlled Islanding in Bulk Power Systems," Energies, MDPI, vol. 7(4), pages 1-27, April.
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    Cited by:

    1. Xiaoming Mao & Junxian Chen, 2019. "A Fast Method to Compute the Dynamic Response of Induction Motor Loads Considering the Negative-Sequence Components in Stability Studies," Energies, MDPI, vol. 12(9), pages 1-19, May.

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