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

1.School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China;2.Information and Communication Branch, Suzhou Power Supply Company, Suzhou 215004, China;3.Economic and Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China


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.



This work is supported by the Fundamental Research Funds for the Central Universities (No. 2019MS004).

Get Citation
[1]QI Bing, LIU Sifang, LI Bin, et al. Routing Optimization Strategy for Power Communication Network with Shared Risk Link Group and Risk Balance[J]. Automation of Electric Power Systems,2020,44(8):168-175. DOI:10.7500/AEPS20190702006
  • Received:July 02,2019
  • Revised:August 20,2019
  • Adopted:
  • Online: April 23,2020
  • Published: