Review on Intelligent Optimization Technology for Survivability of Power Grid Backbone Communication Networks

摘要

In recent years, with the development of power communication network, the research on the networking mode and intelligent routing reconstruction of power grid backbone network has gradually become a hot direction, the intelligent reconstruction and optimization method of communication network have also become the focus of public network and power communication network. Focusing on the network survivability, this paper puts forward the application strategy of self-optimization technology based on deep learning in power grid backbone communication network from three aspects: the basic model of power grid backbone optical network, the data acquisition and fault diagnosis technology of power grid backbone communication network, and the intelligent reconfiguration method of communication network for power production business.