Open Access
Issue
MATEC Web Conf.
Volume 246, 2018
2018 International Symposium on Water System Operations (ISWSO 2018)
Article Number 03023
Number of page(s) 8
Section Parallel Session II: Water System Technology
DOI https://doi.org/10.1051/matecconf/201824603023
Published online 07 December 2018
  1. Ancillotti E, Bruno R, Conti M. The role of communication systems in smart grids: Architectures, technical solutions and research challenges. J. Computer Communications, 36(17-18):1665-1697, (2013). [CrossRef] [Google Scholar]
  2. Runze Wu, Xiuyuan Hu, Liangrui Tang. Node importance evaluation strategy based on triangle module applying to optical communication network for power grid. J. Journal of North China Electric Power University, 38 (24): 28-32, (2011). [Google Scholar]
  3. Qiongyao Xie, Changhong Deng, Hongsheng Zhao, et al. Evaluation method for node importance of power grid based on the weighted network model. J. Automation of Electric Power Systems, 33 (4): 21-24, (2009). [Google Scholar]
  4. Ying Zeng, Ying Wang, Xijie Dong, et al. Node importance evaluation strategy on electric power communication backbone network. J. Journal of North China Electric Power University, 40 (5): 65-69, (2013). [Google Scholar]
  5. Runze Wu, Baojian Zhang, Liangrui Tang. A cascading failure based nodal importance evaluation method applied in dual network coupling model. J. Power System Technology, 39 (4): 1053-1058, (2015). [Google Scholar]
  6. Yuping Rao, Jingyu Lin, Deting Hou. Evaluation method for network invulnerability based on shortest route number. J. Journal of China Institute of Communications, 30 (4): 113-117, (2009). [Google Scholar]
  7. Jun Wu, Suoyi Tan, YueJin Tan, et al. Analysis of invulnerability in complex networks based on natural connectivity. J. Complex Systems and Complexity Science, 11 (1): 77-86, (2014). [Google Scholar]
  8. Bing Fan, Liangrui Tang. Vulnerability analysis of power communication network. J. Proceeding of the CSEE, 34 (7): 1191-1197, (2014). [Google Scholar]
  9. National Development and Reform Commission of the People’s Republic of China. DL/T 5391-2007 Technical regulations of Power system communication design. S. Beijing: China Electric Power Press, (2007). [Google Scholar]
  10. Dichen Liu, Xingpei Ji, Bo Wang, et al. Topological vulnerability analysis and countermeasures of electrical communication network based on complex network theory. J. Power System Technology, 39 (12): 3615-3621, (2015). [Google Scholar]
  11. Yushen Hou, Xiuli Wang, Yue Zhang, et al. Dimensional importance based Quasi-Monte Carlo method for power system reliability evaluation. J. Automation of Electric Power Systems, 40 (16): 31-37, (2016). [Google Scholar]
  12. Yingjun Xie, Yuting Wang, Wei LI, et al. Indicator system for operation quality of electric power communication network. J. Electric Power, 50 (10): 22-27, (2017). [Google Scholar]
  13. Li Di, Zheng Zheng, Min Xia, et al. Node importance evaluation of electric power communication network based on fast density clustering. J. Power System Protection and Control, 44 (13): 90-95, (2016). [Google Scholar]
  14. Zihui Geng, Limin Cui, Qin Shu, et al. Crucial node decision algorithm based on TOPSIS algorithm in electric power communication network. J. Power System Protection and Control, 46 (1): 78-86, (2018). [Google Scholar]
  15. JIang K, Deng B. Risk evaluation method of electric power communication network. C. //Ninth International Conference on Natural Computation, IEEE, 1595-1599(2014). [Google Scholar]
  16. Junchi Jia. Design of optical network capacity based on key link. J. Optical Communication Technology, 39 (10): 17-19(2015). [Google Scholar]
  17. Yong Chen, Aiqun Hu, Xiao Hu, et al. Evaluation method for node importance in communication networks. J. Journal of China Institute of Communications, 25 (8): 129-134, (2005). [Google Scholar]
  18. Yuejin Tan, Jun Wu, Hongzhong Deng. Evaluation method for node importance based on node contraction in complex networks. J. Systems Engineering Theory& Practice, 11 (11): 79-83, (2006). [Google Scholar]
  19. Estrada E, Hatano N, Benzi M. The physics of communicability in complex networks [J]. Phys Rep, 514 (3): 89-119, (2012). [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.