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Critical Lines Identification for Skeleton-Network of Power Systems under Extreme Weather Conditions Based on the Modified VIKOR Method

Author

Listed:
  • Chang Han

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

  • Yuxuan Zhao

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

  • Zhenzhi Lin

    (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)

  • Guanqiang Lin

    (Electric Power Dispatching and Control Center, Huizhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Huizhou 516000, China)

  • Tianwen Mo

    (Electric Power Dispatching and Control Center, Huizhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Huizhou 516000, China)

  • Xiaojun Ye

    (Electric Power Dispatching and Control Center, Huizhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Huizhou 516000, China)

Abstract

Identifying and preferentially reinforcing critical lines for skeleton-network of power systems is significant in improving the secure and stable operation of power systems under extreme weather conditions. Under this background, in this paper, six indexes are first presented for identifying critical lines for skeleton-network with the power elements’ parameters and the impact of extreme weather conditions, the network topology and the operation state of power systems considered. Then, the modified Vise Kriterijumska Optimizacija I Kompromisno Resenje in Serbian (VIKOR) method, in which the synthetic weights of indexes determined by the combination weighting method are adopted, is utilized to identify the importance degrees of lines in a given power system. Both the overall performance and the outstanding individual performance of lines are considered, which is beneficial for the critical lines identification for skeleton-network. Finally, the proposed multi-indexes and methods are applied to part of the actual Guangdong power system in China. The numerical results are compared with those obtained by single-attribute and multi-attribute evaluation methods and other evaluation methods.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1355-:d:149073
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    References listed on IDEAS

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    2. Jun Dong & Dongxue Wang & Dongran Liu & Palidan Ainiwaer & Linpeng Nie, 2019. "Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model," Sustainability, MDPI, vol. 11(19), pages 1-25, October.
    3. Mir Sayed Shah Danish & Tomonobu Senjyu & Sayed Mir Shah Danish & Najib Rahman Sabory & Narayanan K & Paras Mandal, 2019. "A Recap of Voltage Stability Indices in the Past Three Decades," Energies, MDPI, vol. 12(8), pages 1-18, April.
    4. Hongbo Shao & Yubin Mao & Yongmin Liu & Wanxun Liu & Sipei Sun & Peng Jia & Fufeng Miao & Li Yang & Chang Han & Bo Zhang, 2018. "A Three-Stage Procedure for Controlled Islanding to Prevent Wide-Area Blackouts," Energies, MDPI, vol. 11(11), pages 1-15, November.

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