Evaluation of Critical Node Groups in Cyber-Physical Power Systems Based on Pinning Control Theory

Li, Yan; Zhang, Shiqi; Xu, Tao; Zhu, Mengmeng; He, Zhaolei

doi:10.1109/access.2022.3172686

Cited by 6 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The uncertainty of power grid operation continues to increase, and frequent power outages cause serious economic losses and negative social impacts [1,2]. When the power grid fails, the critical nodes have a key role in the power grid, and may even cause the system to collapse gradually [3][4][5]. Therefore, it is important to precisely identify the critical nodes in the power grid to prevent power outages [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…[9] uses the link-based partitioning method to find the overlapping areas in the power grid and identifies the key nodes of the power grid using the betweenness centrality based on neighbor nodes (BCBNN) algorithm. In [3], a critical node evaluation method based on fixed control theory is proposed, which uses the minimum nonzero eigenvalue of the modified Laplace matrix. Ref.…”

Section: Introductionmentioning

confidence: 99%

“…[10] develops an algorithmic procedure and mathematical method to evaluate the key and redundant nodes in the scaling network using the minimum dominant set (MDS) method. Methods for evaluating the importance of nodes in the power system in [3,9,10] are essentially based on the structural factor of the topology. Ref.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Critical Node Identification Method of Power Grid Based on the Improved Entropy Weight Method

Zhang

Wang

et al. 2023

Electronics

View full text Add to dashboard Cite

It is very important to accurately identify the critical nodes of the power grid for its safe and stable operation. In this paper, a method for identifying the critical nodes of the power grid based on the improved entropy weight method (IEWM) is proposed, and the IEWM corrects issues with the information overlap between evaluation indices and inconsistency between the entropy weight (EW) and entropy value (EV). First, considering the power grid topology and operating conditions, structural factor evaluation indices and state factor evaluation indices are established. On this basis, the IEWM is used to assign weights to nodes with different voltage levels, which strengthens the consideration of node voltage levels in the identification method of critical nodes and makes the results more accurate and effective. Simulation experiments of IEEE 30-bus and IEEE 118-bus systems verify the accuracy of the critical node identification method proposed in this paper.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Critical Node Identification Method of Power Grid Based on the Improved Entropy Weight Method

Zhang

Wang

et al. 2023

Electronics

View full text Add to dashboard Cite

show abstract

“…Hence, [22] constructed a secondary correlation network based on the N-2 contingency model and introduced the concept of node strength, thereby enhancing the effectiveness of identification. K-shell decomposition [21], H-index [22], structural holes [23], cascading fault space-time graph [24], and percolation control theory [25] have also found applications in the identification of vulnerable power lines. It is evident that the aforementioned approaches take into account the dynamic aspects of power system faults but may not adequately address the system's inherent topology.…”

mentioning

confidence: 99%

Identification of Vulnerable Transmission Lines in Power System Based on Game Theory

Zhu,

Zhang,

2024

IEEE Access

View full text Add to dashboard Cite

Accurately identifying vulnerable transmission lines in power system is paramount for averting cascading failures and guaranteeing the safety and stability of power grid operations. This paper introduces a vulnerability assessment method for transmission lines in power system, which incorporates network topology and system operational states. The enhanced degree index is used to assess the lines' structural vulnerability. In order to evaluate the variations in power flow during regular system operation or following a failure, the improved power transfer distribution factor (PTDF) and line outage distribution factor (LODF) are used to build the line operational state vulnerability indices. To mitigate the limitations of a single assignment method, subjective indicator weights are determined using the hierarchical analysis method, while objective weights are calculated using the entropy value method. These weights are subsequently distributed using game theory. The effectiveness of the proposed method is verified through simulations on the IEEE 39-bus and IEEE 118-bus systems. The experimental results show that the proposed method has higher precision compared with other methods. And the new index can identify the vulnerable lines of the system, either due to their position in the network or by the power they transmit along the network.INDEX TERMS Entropy weight method, game theory, hierarchical analysis, vulnerable lines.

show abstract

Identification of vulnerable lines in power grids with wind power integration based on topological potential

Zhang,

Zhu,

Wang

2024

Electric Power Systems Research

View full text Add to dashboard Cite

Evaluation of Critical Node Groups in Cyber-Physical Power Systems Based on Pinning Control Theory

Cited by 6 publications

References 26 publications

Critical Node Identification Method of Power Grid Based on the Improved Entropy Weight Method

Critical Node Identification Method of Power Grid Based on the Improved Entropy Weight Method

Identification of Vulnerable Transmission Lines in Power System Based on Game Theory

Identification of vulnerable lines in power grids with wind power integration based on topological potential

Contact Info

Product

Resources

About