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has been cited by the following article:

• TITLE: Identification of Critical Lines in Power System Based on Optimal Load Shedding

  AUTHORS: Mingshun Liu, Lijin Zhao, Liang Huang, Xiaowei Zhang, Changhong Deng, Zhijun Long

  KEYWORDS: Risk Theory, Optimal Power Flow, Load Shedding, Risk ?ndex, Critical Line Identification

  JOURNAL NAME: Energy and Power Engineering, Vol.9 No.4B, April 6, 2017

  ABSTRACT: Based on risk theory, considering the probability of an accident and the severity of the sequence, combining N-1 and N-2 security check, this paper puts forward a new risk index, which uses the amount of optimal load shedding as the severity of an accident consequence to identify the critical lines in power system. Taking IEEE24-RTS as an example, the simulation results verify the correctness and effectiveness of the proposed index.