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.