The data attack in smart grid may cause the control center to make a wrong judgment, and then interfere with the normal operation of the power grid. In the case of data attack, this paper studies the optimal allocation model of distributed energy in smart energy system. Taking the maximum net profit of microgrid system as the objective function, the constraint conditions are established by using battery charging and discharging and power exchange of large power grid to optimize the allocation of distributed energy in the system. According to the characteristics of its power load, the corresponding dispatching strategy is formulated, and the genetic algorithm is introduced to find the optimal solution of the model. The power supply composition and economic loss before and after the optimization and attack are obtained, which proves the importance of attack detection.
With the emergence of various low-latency application scenarios in the Internet of things (IoT), edge computing provides a series of low-latency computing modes such as real-time data processing and real-time decision-making, supports multiple terminals, and solves the problems of the existing cloud computing architecture. This paper proposes a channel fingerprint data packet authentication method based on edge computing cooperation. The edge server and smart terminal perform cooperative computing, make full use of the computing power of the smart terminal, reasonably allocate the amount of computing tasks, and effectively realize lightweight data packet authentication. The task running time is shortened and the authentication efficiency is improved.
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