为提高智能电网光传送网(Optical Transport Network,OTN)网络在链路失效情况下的恢复能力,确保电力业务的连续性和可靠性,通过分析电力业务特征与OTN网络需求,构建多目标优化模型,提出业务感知路由策略和动态调整机制,并设计基于遗传算法和强化学习的路径优化算法.结果表明,新策略在保护倒换时间、网络阻塞率、资源利用率等关键性能指标上显著优于现有策略,保护倒换时间缩短 71.3%,网络阻塞率降低 62.3%,资源利用率提高17.1%,显著提高了智能电网OTN网络的恢复效率和稳定性.
Research on Smart Grid OTN Network Recovery Strategy for Link Failure
In order to improve the resilience of Optical Transport Network(OTN)network in smart grid under link failure and ensure the continuity and reliability of power services,a multi-objective optimization model is constructed by analyzing the characteristics of power services and the requirements of OTN network,a service-aware routing strategy and dynamic adjustment mechanism are proposed,and a path optimization algorithm based on genetic algorithm and reinforcement learning is designed.The results show that the new strategy is significantly superior to the existing strategy in key performance indicators such as protection switching time,network blocking rate and resource utilization rate,and the protection switching time is shortened by 71.3%,the network blocking rate is reduced by 62.3%,and the resource utilization rate is increased by 17.1%,which significantly improves the recovery efficiency and stability of OTN network in smart grid.
万方数据
维普
