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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.

In the smart grid environment, the secure transmission of power data is a major challenge for smart devices. Due to the broadcasting characteristics of wireless media, wireless communications in the power grid are vulnerable to eavesdropping attacks. Traditional encryption implementation requires high costs in wireless environments. In order to improve the security of data transmission in the power grid, physical layer security (PLS) has attracted widespread attention. However, there are too many idealized and unrealistic assumptions about the security research results in this field. This paper analyzes a physical layer security communication scheme considering the actual erection distance. When up-layer system break by opponent, the natural randomness of the physical channel will play a role in ensuring system security. We conducted simulations and analyzed the impact of the legal user’s erection distance on the physical layer security performance of data transmission in the power grid, and adopted a targeted secure transmission scheme.

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