期刊论文详细信息
Applied Sciences
Critical Nodes Identification of Power Systems Based on Controllability of Complex Networks
Yu-Shuai Li2  Da-Zhong Ma2  Hua-Guang Zhang2  Qiu-Ye Sun1  Minho Shin2 
[1] Department of Electrical Engineering, Northeastern University, Shenyang 110819, China;
关键词: controllability of networks;    power systems;    node identification;    structural controllability;    vulnerability;   
DOI  :  10.3390/app5030622
来源: mdpi
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【 摘 要 】

This paper proposes a new method for assessing the vulnerability of power systems based on the controllability theories of complex networks. A novel controllability index is established, taking into consideration the full controllability of the power systems, for identifying critical nodes. The network controllability model is used to calculate the minimum number of driver nodes (ND), which can solve the computable problems of the controllability of power systems. The proposed approach firstly applies the network controllability theories to research the power systems' vulnerability, which can not only effectively reveal the important nodes but also maintain full control of the power systems. Meanwhile, the method can also overcome the limitation of the hypothesis that the weight of each link or transmission line must be known compared with the existing literature. In addition, the power system is considered as a directed network and the power system model is also redefined. The proposed methodology is then used to identify critical nodes of the IEEE 118 and 300 bus system. The results show that the failure of the critical nodes can clearly increase ND and lead a significant driver node shift. Thus, the rationality and validity are verified.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.

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