Multi-service Intelligent Routing Algorithm for Power Local Integrated Communication Network

In recent years, the integration of multiple communication technologies in the power local integration network has become an important direction in the field of new power system information communication. However, the emergence of multi-source transmission requirements has led to the problem of increased local network load and rapid link degradation. Based on the network control capabilities provided by SDN, a multi-service intelligent routing algorithm for power local integrated communication network is proposed. Firstly, a VARLA multivariate time series prediction model is designed to jointly predict the traffic of multiple access side communication technologies, in order to fit the traffic characteristics of power business and solve the problem of traffic feature confusion caused by the integration of multiple communication technologies more accurately. On this basis, a multi service local fusion network link arrangement algorithm for congestion alleviation is proposed, which utilizes traffic prediction results to allocate the path with the minimum overall load impact for the upcoming power business flow, considering the communication quality requirements of the business itself and the performance indicators of the entire local communication network. Finally, this paper verifies the advantages of the proposed method in traffic prediction accuracy, average link load rate, path delay, and other aspects through simulation experiments.