Routing Optimization Strategy for Power Communication Network with Shared Risk Link Group and Risk Balance

被引：0
|
作者：
Qi B. [1 ]
Liu S. [1 ]
Li B. [1 ]
Sun Y. [1 ]
Jing D. [2 ]
Cheng Z. [3 ]
机构：
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Beijing
[2] Information and Communication Branch, Suzhou Power Supply Company, Suzhou
[3] Economic and Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou
来源：
Liu, Sifang (liusifang2008@126.com) | 2020年 / Automation of Electric Power Systems Press卷 / 44期
关键词：
Average service risk; Power communication network; Risk balancing degree; Service importance degree; Shared risk link group (SRLG);
D O I：
10.7500/AEPS20190702006
中图分类号：
学科分类号：
摘要：
Based on the composition of power communication network, the importance of the network-borne service and its importance degree are analyzed. Then the technique for order preference by similarity to an ideal solution (TOPSIS) method for evaluating the importance of the business is proposed. The widely existing shared risk problem in the network is analyzed, and the risk balanced model is established. In the proposed shared risk link group (SRLG) and risk balanced routing optimization algorithm for power communication network, the average service risk, risk balancing degree, block-risk comprehensive index and SRLG remaining bandwidth capacity ratio are introduced to optimize the routing path and performance. The simulation is carried out in the cable routing topology of a city in Jiangsu Province of China to verify the effectiveness of the proposed algorithm. The simulation results show that without increasing the blocking risk of the network, the proposed algorithm effectively reduces the average network service risk, improves the risk balancing degree of the working path, and reduces the remaining bandwidth capacity ratio of SRLG and the failure risk of shared links. © 2020 Automation of Electric Power Systems Press.
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收藏
页码：168 / 175
页数：7
相关论文
共 24 条
  • [1] Li B., Yang J., Tang L., Et al., Application of high efficient P-cycle protection techniques in electric power communication network, Automation of Electric Power Systems, 37, 20, pp. 83-87, (2013)
  • [2] Li B., Yang J., Xiong K., Et al., Service-oriented hybrid P-cycle/fast reroute protection algorithm in electric power systems, Automation of Electric Power Systems, 40, 7, pp. 113-120, (2016)
  • [3] Li B., Lu C., Chen S., Et al., P-cycle protection algorithm oriented to demand response service, Automation of Electric Power Systems, 41, 23, pp. 14-20, (2017)
  • [4] Jia H., Xue K., Ma J., Et al., Improved ant colony algorithm for multi-path routing selection in wide-area protection communication system, Automation of Electric Power Systems, 40, 22, pp. 22-26, (2016)
  • [5] Jiang K., Zeng Y., Deng B., Et al., Risk evaluation method of electric power communication network based on services, Power System Protection and Control, 41, 24, pp. 101-106, (2013)
  • [6] Zhao Z., Liu J., A new service risk balancing based method to evaluate reliability of electric power communication network, Power System Technology, 35, 10, pp. 209-213, (2011)
  • [7] Liu Y., Xiong L., Xiao D., Et al., Analysis on the reliability of communication routing system based on importance level of service, Electrical Measurement & Instrumentation, 54, 12, pp. 34-41, (2017)
  • [8] Xing N., Xu S., Zhang S., Et al., Load balancing-based routing optimization mechanism for power communication networks, China Communications, 13, 8, pp. 169-176, (2016)
  • [9] Constantinou C.K., Ellinas G., A load balancing technique for efficient survivable multicasting in mesh optical networks, Optical Switching and Networking, 22, pp. 1-8, (2016)
  • [10] Guo L., Yu H., Li L., Et al., A shared sub-path protection for a single SRLG failure in survivable WDM networks, Journal of Electronics & Information Technology, 27, 7, pp. 1136-1140, (2005)
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