Abstract
With the increase of complexity of the power system 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 improved DebtRank (DR) algorithm is modified to adapt to 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 article. First, a dual model of power system topology is established, the nodes of which represent the lines in the power systems. Then, besides the normal state and failure state having been considered, the definition of the overloading state is also added, and the line load and network topology are considered in the electrical DR algorithm to identify vulnerable lines. Finally, the correctness and reasonability 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.
Highlights
The security and stability of the power systems have become increasingly challenging as the scale and structural complexity of power systems have been augmented, which results in large-scale power outages and an increased risk with significant social and economic losses (Wang et al, 2017; Li et al, 2020; Zhang et al, 2021)
In large-scale power systems, cascade failure caused by transmission line accidents leads to an occurrence of large outage, which can cause serious economic and social losses
The overloading state is considered to fill the gap between the normal state and failure state, which is more in accordance with the transmission line change of the operation state
Summary
The security and stability of the power systems have become increasingly challenging as the scale and structural complexity of power systems have been augmented, which results in large-scale power outages and an increased risk with significant social and economic losses (Wang et al, 2017; Li et al, 2020; Zhang et al, 2021). Identification results obtained in this article are compared with those of the top 10 lines in the vulnerable line ranking identified by electrical betweenness (Wang et al, 2014), as shown in FIGURE 6 | IEEE-118 bus power system line fluctuation load loss comparison. When the removal of vulnerable lines continues, the load loss caused by the electrical DR algorithm is significantly higher than that of the electrical betweenness method It shows that the impact of vulnerable lines identified by the electrical DR algorithm is larger than that of the electrical betweenness method, especially in preventing largescale power outages
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