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

Chang Han, Yuxuan Zhao, Zhenzhi Lin, Yi Ding, Li Yang, Guanqiang Lin, Tianwen Mo and Xiaojun Ye
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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

Energies, 2018, vol. 11, issue 6, 1-18

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.

Keywords: critical lines identification; skeleton-network; extreme weather; network topology; operation state; the modified VIKOR method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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