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Volume 44 Issue 11
Nov.  2022
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YANG Shuna, XU Jiali, YANG Hongzhen, ZHAO Yuhu, CHI Hao. Availability-oriented Routing Algorithm for Planning Multi-level Power Service Based on Link-failure Model[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3788-3795. doi: 10.11999/JEIT220565
Citation: YANG Shuna, XU Jiali, YANG Hongzhen, ZHAO Yuhu, CHI Hao. Availability-oriented Routing Algorithm for Planning Multi-level Power Service Based on Link-failure Model[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3788-3795. doi: 10.11999/JEIT220565

Availability-oriented Routing Algorithm for Planning Multi-level Power Service Based on Link-failure Model

doi: 10.11999/JEIT220565
Funds:  The National Natural Science Foundation of China (61901148, 61975048), Zhejiang Provincial Natural Science Foundation (LY22F050010, LZ20F010003), State Grid Zhejiang Electric Power Company Technology Project (5211XT20008R)
  • Received Date: 2022-05-09
  • Rev Recd Date: 2022-08-16
  • Available Online: 2022-08-23
  • Publish Date: 2022-11-14
  • Considering the diversity of power services in smart grid, the reliability requirements of different levels of services are analyzed. A link-failure model is built, and an availability-oriented routing planning algorithm is designed based on the built model. The feasibility of the proposed algorithm, in terms of the network blocking rate and resource utilization, is validated by comparing with the classical link-failure routing algorithms. The classical link-failure routing algorithms ignore the diversity of power services, and process all service requests of the access network indiscriminately. The classical routing planning constraints are relatively simple, which leads to the high blocking rate. Regarding to the different requirements on the network availability from kinds of services, the routing algorithm proposed in this paper adjusts properly the target function and allocates the resource according to the incoming service. Thus, the network blocking rate is significantly reduced. Meanwhile, the network availability and resource utilization are greatly improved.
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