Power Grid Risky IP Identification Algorithm Based on Hybrid Genetic Ensemble Learning

Author(s):  
Yixin Jiang ◽  
Lin Chen ◽  
Xiaoyun Kuang ◽  
Aidong Xu ◽  
Yiwei Yang
2015 ◽  
Vol 738-739 ◽  
pp. 382-390
Author(s):  
Hao Wu ◽  
Qun Zhan Li ◽  
Wei Liu

With the help of wide area information, a new fault identification algorithm of power grid based on PNN is proposed. This algorithm gives a definition of the line associated domain, the elements’ action information of the line associated domain gathered by line IEDs can form the feature vector into PNN classifier, and then the fault elements of power grid would be identified on PNN classifier. Through a large number of simulation experiments, it shows that the new fault identification algorithm of power grid based on PNN and wide area information has high accuracy and good fault tolerance.


2021 ◽  
Vol 256 ◽  
pp. 01044
Author(s):  
Jian Huang ◽  
Chajuan Li ◽  
Yanqi Wang ◽  
Ping Guo ◽  
Jing Wang

This paper mainly studies the vulnerability of node combination of two kinds of networks, and verifies whether all networks can use the pinning control optimization point selection algorithm. One is the primitive network, in which the nodes correspond to the components in the power grid, and the other is the dual network, in which the nodes are mapped to the nodes of the dual model, It is mapped as an edge, and then the vulnerability of node combination is studied by containment control theory. In the experiment, IEEE57 nodes are used to study the original network, and different combination nodes are used to attack the original network to study the vulnerability. By studying the dual network with IEEE14 nodes, it is found that the eigenvalues of the residual matrix after deleting the control nodes are all zero. Therefore, the dual model of power grid can not use the pinning control theory, and it further shows that not any network can use the pinning control theory to select points.


2009 ◽  
Author(s):  
David Close ◽  
Kari Babski-Reeves ◽  
Nick Younan ◽  
Noel Schulz

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