Power communication network based on optical technology can support the operation, production and scheduling of power systems. However, due to the dynamic and information uncertainty factors in the network environment, the independent service arrangement of the power communication network is faced with many challenges. To address these challenges, a software-defined network (SDN)-empowered the power communication network architecture. In this paper, we proposed a routing algorithm based on ε-greed to minimize total transmission delay of service data flow, which can support the autonomous, intelligent, and flexible orchestration for the power communication network. Simulation verify the superiority of the proposed ε-greedy algorithm in the aspect of delay and optimal path selection.
The power backbone optical network has the shortcomings of low spectrum utilization, and high service blocking rate, which cannot satisfy the differentiated quality of service (QoS) demands of the power services. This paper proposed a power backbone optical network architecture that uses elastic optical networks (EONs) to improve frequency utilization, and proposes an upper confidence bound (UCB)-based intelligent orchestration algorithm for power backbone optical network. Simulation verified that the proposed intelligent orchestration algorithm can improve the performance of the intelligent bandwidth allocation and meet the requirements of differentiated QoS demands.
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