1.华北电力大学电气与电子工程学院;2.苏州供电公司信息通信分公司，江苏省苏州市 215004;3.国网甘肃省电力公司经济技术研究院，甘肃省兰州市 730050
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 &4.Technology Research Institute of State Grid Gansu Electric Power Company, Lanzhou 730050, China
This work is supported by the Fundamental Research Funds for the Central Universities (No. 2019MS004).
Based on the composition of power communication network, the importance of the network-borne service and its importance degree is 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 existed 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 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, reduces the remaining bandwidth capacity ratio of SRLG and lowers the failure risk of shared links.
QI Bing,LIU Sifang,LI Bin,et al.Shared Risk Link Group and Risk Balanced Routing Optimization Strategy for Power Communication Network[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190702006.