AUTHOR=Li Lijuan , Zeng Yiwei , Chen Jie , Li Yue , Liu Hai , Ding Gangwei 

TITLE=Electrical DebtRank Algorithm–Based Identification of Vulnerable Transmission Lines in Power Systems

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 9 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2021.786439

DOI=10.3389/fenrg.2021.786439

ISSN=2296-598X

ABSTRACT=With the increase of complexity of power systems structure and operation mode, the risk of large-scale power outage accidents rises, which urgently need an accuracy algorithm for identifying vulnerabilities and mitigating risks. Aiming at this, the improvement DebtRank (DR) algorithm is modified to adapt the property of the power systems. The overloading state of the transmission lines plays a notable role of stable operation of the power systems. An electrical DR algorithm is proposed to incorporate the overloading state to the identification of vulnerable lines in the power systems in this paper. Firstly, a dual model of power systems topology is established, the nodes of which represent the lines in the power systems. Then, besides the normal state and failure state have been considered, the definition of overloading state is also added, line load and network topology are considered in the electrical DR algorithm to identify vulnerable lines. Finally, the correctness and reasonableness of the vulnerable lines of the power systems identified by the electrical DR algorithm are proved by the comparative analysis of cascade failure simulation, showing its better advantages in vulnerability assessment of power systems.