Evaluation of the node importance in power grid communication network and analysis of node risk

Author(s):  
Meng Zhou ◽  
Lanlan Rui ◽  
Xuesong Qiu ◽  
Zhen Xia ◽  
Biyao Li
2021 ◽  
Author(s):  
Xiaobo Li ◽  
Guoli Feng ◽  
Run Ma ◽  
Lu Lu ◽  
Kaili Zhang ◽  
...  

Power-grid optical backbone communication network is a special communication network serving for power system. With the development of new internet technology, there are more and more services carried by power-grid optical backbone communication networks. It plays an important role in the protection of nodes, especially important nodes which often carry important information of the network, when the network is under heavy traffic load. Hench, to solve this problem, we propose the concept of node importance and design a node importance-based protection algorithm under heavy traffic load scenario in power-grid optical backbone communication networks. Simulation results show that the proposed node importance based protection algorithm can obviously reduce blocking probability of the important nodes and improve the performance of the entire network in terms of blocking probability.


Author(s):  
Liming Zhou ◽  
Mi Lin ◽  
Jinnan Zhang ◽  
Yangan Zhang ◽  
Minglun Zhang ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 780
Author(s):  
Xiwei Bai ◽  
Daowei Liu ◽  
Jie Tan ◽  
Hongying Yang ◽  
Hengfeng Zheng

Accurate identification of critical nodes and regions in a power grid is a precondition and guarantee for safety assessment and situational awareness. Existing methods have achieved effective static identification based on the inherent topological and electrical characteristics of the grid. However, they ignore the variations of these critical nodes and regions over time and are not appropriate for online monitoring. To solve this problem, a novel data-driven dynamic identification scheme is proposed in this paper. Three temporal and three spatial attributes are extracted from their corresponding voltage phasor sequences and integrated via Gini-coefficient and Spearman correlation coefficient to form node importance and relevance assessment indices. Critical nodes and regions can be identified dynamically through importance ranking and clustering on the basis of these two indices. The validity and applicability of the proposed method pass the test on various situations of the IEEE-39 benchmark system, showing that this method can identify the critical nodes and regions, locate the potential disturbance source accurately, and depict the variation of node/region criticality dynamically.


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