scholarly journals Research on Vulnerability Identification Algorithm of Power Grid Based on Complex Network

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.


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.



2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Xiang Gao ◽  
Ming Zhou ◽  
Hongbing Ouyang

A dynamic model is proposed based on the pinning control theory of complex network in order to simulate government bailouts against financial crisis and then is applied to a stress test of China’s interbank borrowing and lending network from 2007 to 2014. The proposed model takes many cases into account, so it is able to simulate bailout effects with different parameters, capture temporal and individual differences of banks’ spillovers effects, and reflect their sensitivity to government bailouts indirectly. This paper offers an innovative model to identify the systemic-important banks in financial crisis and construct a macroprudential regulation system based on network theory.







Author(s):  
Yicong Wang ◽  
Hanping Xu ◽  
Dongying Zhang ◽  
Ting Hu ◽  
Weichen Yang ◽  
...  


2013 ◽  
Vol 389 ◽  
pp. 161-165
Author(s):  
Yin Hui Zhao ◽  
Zhong Fu Tan ◽  
Li Wei Ju ◽  
Zhi Hong Chen

The cost of China Power Grid Company's purchasing power is influenced by the relationship between supply and demand of the industry chain, the impact of price fluctuations in the power purchase market, while, the terminal sales price is controlled by the government, not reflecting the supply and demand changes, which makes the income space of power grid corporation uncertainty, therefore, their operation is facing with risk. The paper constructs electricity purchasing and selling risk control optimization model for power Grid Corporation after considering users demand elasticity, electricity distribution in the contract market and real-time market, the compensation cost for users blackout based on the analysis for the influencing factors of Power Grid Corporation and the revenue calculation model.



2010 ◽  
Vol 9 (4) ◽  
pp. 181-194 ◽  
Author(s):  
Jürgen Weibler ◽  
Sigrid Rohn-Endres

This paper develops an understanding of how shared leadership emerges in social network interactions. On the basis of a qualitative research design (grounded theory methodology – GTM) our study in two interorganizational networks offers insights into the interplay between structures, individuals, and the collective for the emergence of shared network leadership (SNL). The network-specific Gestalt of SNL appears as a pattern of collective and individual leadership activities unified under the roof of a highly developed learning conversation. More importantly, our findings support the idea that individual network leadership would not emerge without embeddedness in certain high-quality collective processes of relating and dialogue. Both theoretical and practical implications of this original network leadership perspective are discussed.



2017 ◽  
Vol 102 (10) ◽  
pp. 1462-1470 ◽  
Author(s):  
Stephen H. Courtright ◽  
Brian W. McCormick ◽  
Sal Mistry ◽  
Jiexin Wang




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