电力光通信网中风险均衡路由算法研究.pdf

年 第 期 光 通 信 研 究
202 1 1
总第 期 onics
and Optical Communications,Beij ing University of Posts and Telecommunications,Beij ing 10087 6 ,China;
3 .State Grid Sichuan Electric Power Company,Chengdu 6 10041 ,China)
Abstract
:Under the background of vigorously developing smart grids,the scale of power optical communication networks sup-
porting power grid operation is becoming larger and larger,and the services carried are more ,the service
routing planning of the power communication network is mainly based on the shortest path algorithm,which leads to the im-
balance of the business importance distribution of the power communication ,the local risk of the network
can be high and the overall health of the network is at the shortcomings of traditional routing algorithms,this pa-
per proposes a route algorithm that uses deep reinforcement learning technology to balance the risk of network traffic,which
also comprehensively considers the traditional constraints such as optical transmission constraints and link residual capacity.
The algorithm considers the distribution of service importance,link capacity,and link optical signa-l to-noise ratio to achieve
risk equalization of power communication networ