Research On Low Latency Transmission Strategy For Energy Internet

Energy Internet is the development and extension of Smart Grid.It is characterized by decentralization,extensive interconnection,high intelligence and open interaction.Energy Communication Network is a specific communication network designed for Energy Internet.In addition to its large bandwidth and high-reliable capacities of service carrying,it should also have the capability of low latency service transmission.In order to meet the needs of diverse bearers of both new and old services and the smooth evolution of the network,this thesis is aimed to optimize Power Communication Network and build Energy Communication Network by using low latency Optical Transport Network(OTN)technology.Due to the particular needs of energy communication services,simply improving the networking mode and equipment technology cannot meet the latency demand.Therefore,further research on low latency service transmission strategy is needed.Low latency transmission problem is studied through latency analysis and optimization.The specific research results are as follows:Firstly,a latency simulation platform is designed and implemented forEnergy Communication Network.The platform is based on the network and service characteristics of Energy Communication Network.It realizes the end-to-end bearer simulation and delay calculation of the energy communication services through mutual calling between topology generation module,service generation module,route calculation module,latency calculation module,resource allocation module and result output module.Among them,route calculation and latency calculation module realize their functions through built-in algorithms.The area-specified routing algorithm considers the control requirements of the energy communication service,and calculates the shortest route in divided area.The end-to-end latency calculation algorithm is based on the networking mode and equipment technology of Energy Communication Network,and calculates the end-to-end latency of the service according to its bandwidth and routing path.The simulation platform can quantitatively analyze the influencing factors of latency and evaluate the latency performance of different transmission strategies.Secondly,three transmission strategies to optimize the latency and capacity performances of Energy Communication Network are proposed.(1)The multi-center cooperative dispatching strategy based on the optimal topology division algorithm.By using the algorithm,the strategy can find the topology division scheme with optimal latency,and locate dispatching center to each r-egional central node,which is selected by the algorithm to replace the traditional single-center centralized dispatching with the multi-center cooperative dispatching.Multi-center cooperative dispatching strategy can shorten service transmission distance and disperse network traffic pressure.(2)The service transmission latency optimization strategy perform pre-analysis before the service is transmitted.If the default transmission mode cannot meet the latency requirement of a service,an appropriate mode will be chosen according to the latency composition and specific requirement of the service,so that the end-to-end transmission latency of the service can satisfy its requirement as much as possible.(3)The service optimization aggregation strategy ensures that the latency of services are not affected by judgement at the time of aggregation.Then performs service aggregation according to different aggregation type.Finally,ports and wavelengths are assigned to services and service groups based on the result of aggregation.The simulation results show that multi-center cooperative dispatching strategy can effectively reduce latency and block rate of services,so that the possibility of successful transmission of services within the required latency range is increased significantly.Service transmission latency optimization strategy can further reduce overall service latency,allow more services to reach their latency threshold and better guarantee the latency performance of energy communication services.Service optimization aggregation strategy can reduce the network construction cost and improve the network capacity and latency performances based on the first two strategies.