Detection of Abnormal Data Flow at Network Boundary of Renewable Energy Power System

Abstract

As more and more renewable energy stations are built and access the power grid, the network security risks of renewable energy power systems are increasing. This paper analyzes the typical network attacks that renewable energy plants face and researches the network boundary abnormal data flow detection technology to realize the identification of potential threats and improve the level of network security protection for renewable energy power system.