As a new computing architecture, edge computing has gradually penetrated into the smart grid and provide real time monitoring and control. However, as a new type of node arranged in the network, its own security protection has become an incredibly challenging task. Security authentication is the first line of defence for security protection. Due to its fast and light-weight characteristics, physical layer channel information access authentication technology for non-cryptographic packets is a potential identification method for the smart grid terminal access under the edge computing system, in which the real time response is incredibly important. This paper aims to investigate the physical layer authentication method compared with the traditional upper layer authentication technology, and an authentication scheme suitable for smart grid is proposed.

In this paper, particle swarm optimization (PSO) is introduced to carry out economic optimization under the microgrid system, and the optimization dispatching problem of the microgrid system [1] is studied. Utilize the role of battery charging and discharging and power exchange of large power grids, with the goal of minimizing the cost of load power supply, and establishing the constraints of distributed power sources [2]. A mathematical model is established for the optimal scheduling problem under the microgrid system composed of wind, solar and storage batteries, and the PSO algorithm is used to solve the model, and the optimized power supply composition and operating cost are obtained, and an optimized scheduling scheme is given.

It is an important task of system security management to configure terminal security policy reasonably in edge computing (EC) to implement necessary security protection for terminals and EC system. Therefore, this paper analyses the security goals and requirements of terminal access for multi-service EC systems under the power grid, conducts terminal security risk assessment based on the AHP algorithm, and proposes an edge computing platform terminal security configuration optimization strategy, creatively using the OS-ELM algorithm. A framework for cloud training and edge-side online learning to meet the real-time and lightweight communication needs of edge platforms.