Research On Bandwidth Prediction Of Intelligent Power Distribution And Utilization Communication Network

Smart grid has become a hot research in power network with the development of its information technology, digitizing, automation and interactive. Smart grid communications system is the key to smart grid operation, therefore building a large-capacity, high-speed real-time, secure and stable information communication system is a necessary requirement for the smart grid. Because of the unreasonable phenomenon of bandwidth allocation in power distribution and utilization communication network:it’s too futuristic that increase the system inputs and waste the network resources, or it’s overly optimistic estimates make the transmission capacity become the bottleneck of its communication. The problem of transmission bandwidth in communication networks can solved in this thesis. We research reasonable bandwidth prediction model, design bandwidth optimization algorithm, to achieve a reasonable prediction of the communication network transmission bandwidth.First, the problem of bandwidth predictive modeling is discussed in this thesis, we analyze features of power distribution and utilization communication network, queuing theory knowledge and QoS requirements of power distribution and utilization services, combined with the business section model, implement the mapping betweenservice QoS requirements and queuing theory parameters, complete the model of single service of queuing theory bandwidth prediction, under this model, we analyze the performance of the predicted bandwidth.On the basis of this prediction, we propose the method of QoS guarantee queuing thesis section bandwidth prediction. Then, on the basis of the model of business section, considering the QoS requirements, we establish a queuing theory bandwidth predictive model based on the service section, and propose a method of QoS guarantee queuing thesis section bandwidth prediction, compare it with the existing bandwidth prediction method, the result shows that the proposed model is effective.Finally,the matlab simulation results show that:the QoS requirements of different services can be satisfied by the proposed method in this thesis, the prediction result is more accurate than the existing bandwidth prediction method, and verify the validity and reliability of the proposed method.