基于Q Learning算法的区域配网业务路由分配方法研究
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引用本文:赵志军1 ,金 军2.基于Q Learning算法的区域配网业务路由分配方法研究[J].计算技术与自动化,2021,(1):104-108
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赵志军1 ,金 军2 (1.国网浙江省电力有限公司 嘉兴供电公司, 浙江 嘉兴 3140002.嘉兴恒创电力集团有限公司, 浙江 嘉兴 314000) 
中文摘要:传统的配网业务路由分配方法的链条占用率过高,导致丢包率较大。为此,设计了基于Q Learning算法的区域配网业务路由分配方法。按照传统分类方式划分业务路由中的性能指标,根据路由约束条件计算指标的约束值,从而确定业务路由的最优传输路径。结合Bellman Equation方法不断计算并更新配网中的Q值,再综合节点和网络业务指标,利用Q Learning算法计算得到区域配网中的风险均衡度。不断变换VNFs的路由顺序将其转换为TSP路由问题,最终得到路由分配矩阵,实现区域配网业务路由的分配。实验结果表明:与传统分配方法相比,基于Q Learning算法的分配方法的链条占用率低,有效减小了业务数据转发过程的丢包率。
中文关键词:Q Learning算法  业务路由  Bellman Equation方法  最优传输路径  风险均衡度  路由分配
 
Research on Route Allocation Method of Regional Distribution Network Service Based on Q Learning Algorithm
Abstract:The traditional routing distribution method of distribution network has a high chain occupancy rate, which leads to a high packet loss rate. This study designed a routing distribution method for regional distribution network based on Q Learning algorithm. According to the traditional classification method, the performance index of the service route is divided, and the constraint value of the index is calculated according to the route constraint conditions, so as to determine the optimal transmission path of the service route. The Bellman Equation method is used to calculate and update the Q value in the distribution network, and then the node and network service indexes are integrated to calculate the risk equilibrium degree in the regional distribution network. The routing order of VNFs is constantly changed into TSP routing problem, and finally the routing distribution matrix is obtained to realize the routing distribution of regional distribution network. The experimental results show that compared with the traditional distribution method, the distribution method based on Q Learning algorithm has a low chain occupancy rate and effectively reduces the packet loss rate in the process of forwarding business data.
keywords:Q Learning algorithm  business routing  Bellman Equation method  optimal transmission path  risk balance  routing assignment
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