Research On Key Technologies Of Next Generation OTN For Smart Grid

As the smart grid construction progresses,the number and types of services carried by the power communication system are increasing,which poses a serious challenge to the existing power communication network.The next-generation OTN technology for smart grids needs to meet the full-service information communication needs of future smart grids in various aspects through effective routing planning to ensure safe and high-quality reliable transmission of information,therefore,the routing planning of the next-generation OTN network for smart grids Therefore,the routing planning of nextgeneration OTN networks for smart grids is one of the key research areas in this thesis.In addition,with the increasing surge of services in the network,the survivability of power communication networks is also one of the main focuses of this thesis as the failure of network units can lead to interruption of service transmission and thus economic losses.Chapter 3 of the thesis systematically analyses the real-time and reliability requirements of different power services for next-generation OTN networks,quantifies them using hierarchical analysis,and uses the quantified results as the basis for designing an OTN routing algorithm based on the needs of power services.The algorithm allocates the two elements of real-time and reliability in different proportions for specific services,and uses coefficients in the objective function to adjust them flexibly so that the final objective function for each specific service is determined by its own requirements,and finally achieves optimal route planning according to the planning objective.Simulation experiments show that,compared to two routing planning algorithms that consider only reliability requirements and only real-time requirements,the business demand-based routing planning algorithm proposed in this thesis can allocate optimal paths for power services while satisfying both the real-time and reliability requirements of the services.In order to improve the reliability and robustness of the network in the event of link failure,a routing recovery strategy for service reliability importance is proposed in Chapter 4 of the thesis.The strategy establishes a service reliability requirement evaluation model and a service reliability function model in the case of link failure,and customizes the link cost according to the service reliability requirement,and combines the K shortest path algorithm to configure the working path and the protection path for the service in the case of link failure.Through simulation and comparison experiments with other related algorithms,it is verified that the strategy proposed in this thesis can reduce the network blocking rate,improve the resource utilization and effectively enhance the reliability and survivability of the network.In summary,the main innovations of the thesis include: 1.using hierarchical analysis to quantitatively analyse the demand for power services and set different importance levels for each power service;2.adjusting the objective function according to the different demands of services for real-time and reliability,and assigning service routes based on this objective function;3.establishing a link failure model and proposing a power service routing based on this model and the importance of service reliability The link failure model is established,and a recovery strategy for power services based on the model and service reliability importance is proposed.