The Vulnerable Line Identification based on the Hyperlink-Induced Topic Search Algorithm
Qunying Liu, Fan Zhang, Changhua Zhang, Jinzhe Liu, Bolan Wu, Minkang Yuan · 2024
Identification of vulnerable lines in complex power system can effectively prevent large-scale cascading failures, which may lead to power system collapse. In order to identify vulnerable lines quickly and accurately, the physical properties of transmission lines are considered while building the correlation of each transmission line of grid. The hyperlink-induced topic search (HITS) algorithm is used to quickly obtain the vulnerable lines of large-scale power grid. Combined with the characteristics of the algorithm, the importance index of transmission line is obtained, which indicates the influence of some line fault on the other lines. The experiments are carried out on the IEEE-39 bus system and IEEE 118 bus system to verify the effectiveness of the proposed method in the cascading failure identification of power system, which also shows the capability to assess the transmission line vulnerability in only a few seconds.