A SUPPRESSION MECHANISM OF CASCADING FAULT IN THE INTERDEPENDENT COUPLING SMART GRID

被引:0
作者
Chen, Cheng [1 ]
Wang, Yang [2 ]
Zhao, Yong Zhu [3 ]
Ding, Hui Xia [2 ]
Zhao, Hong Bin [3 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] China Elect Power Res Inst, Beijing 100192, Peoples R China
[3] State Grid Shaanxi Co Informat & Telecommun Branc, Xian 710000, Peoples R China
来源
PROCEEDINGS OF 2016 4TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (IEEE CCIS 2016) | 2016年
关键词
Smart grid; Fault cascade; Independent network; Suppression mechanism;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The smart grid which decouples the power network and the communication network will cause a revolution in the traditional power grid. Equipment such as routers in the communication network is in need of power supply, and the dispatching of the power network and intelligent decision requires communication network to transfer and control. This dependency relationship will lead to cascading fault. An interdependent coupling network tends to cascade fault because of the heterogeneous coupling. In order to study the suppression mechanism of coupling network cascading fault. we adopt the pairwise schema and propose a heuristic dual cover dual redundancy algorithm based on an independent network model. Through the extensive simulation results, we analyze and evaluate the performance of our suppression algorithm, and the results demonstrate the effectiveness, The pairwise schema proposed in this article can he easily extended to multilayer network by subsequent researchers, Furthermore, our models may he slightly modified, and can be widely applied to many practical networks.
引用
收藏
页码:308 / 313
页数:6
相关论文
共 10 条
[1]  
[Anonymous], 2005, 1646-2004 -IEEE Standard Communication Delivery Time Performance Requirements for Electric Power Substation Automatio
[2]   Reliability Assessment of Smart Grids Considering Indirect Cyber-Power Interdependencies [J].
Falahati, Bamdad ;
Fu, Yong .
IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (04) :1677-1685
[3]  
Koç Y, 2013, IEEE INT C NETW SENS, P48, DOI 10.1109/ICNSC.2013.6548709
[4]   Detecting Critical Nodes in Interdependent Power Networks for Vulnerability Assessment [J].
Nguyen, Dung T. ;
Shen, Yilin ;
Thai, My T. .
IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (01) :151-159
[5]   Interdependent Networks: Reducing the Coupling Strength Leads to a Change from a First to Second Order Percolation Transition [J].
Parshani, Roni ;
Buldyrev, Sergey V. ;
Havlin, Shlomo .
PHYSICAL REVIEW LETTERS, 2010, 105 (04)
[6]  
Ranjan G., 2011, 7 ACM CSIIRW, P1
[7]  
Sen A, 2014, IEEE CONF COMPUT, P831, DOI 10.1109/INFCOMW.2014.6849338
[8]   CPINDEX: Cyber-Physical Vulnerability Assessment for Power-Grid Infrastructures [J].
Vellaithurai, Ceeman ;
Srivastava, Anurag ;
Zonouz, Saman ;
Berthier, Robin .
IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (02) :566-575
[9]  
Xiang L., 2013, IEEE INT C SMARTGRID, P612
[10]   Cascading Failure Analysis With DC Power Flow Model and Transient Stability Analysis [J].
Yan, Jun ;
Tang, Yufei ;
He, Haibo ;
Sun, Yan .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (01) :285-297