Research on Simulation of Smart Grid Control Based on Embedded System

From the perspective of the deployment and development of renewable energy in the world, wind power and solar power are currently the most widely used power generation technologies and have been rapidly developed and widely used. In order to mitigate the effects of randomness when intermittent power sources such as wind energy and solar energy are deployed in the grid on a large scale, which could influence the smart grid power generation scheduling, peak power, and frequency regulation and operation stability, this paper proposes a smart grid control theory based on embedded systems design, which could measure, track and control the operation of the smart grid in real-time, and intelligently control the transmission of electrical energy. It is reliable to analyze advanced control strategies in a relatively safe environment, to achieve stable operation of the grid-connected system, and to verify the correctness of the control method selection in terms of the collected experimental data. The experimental results show that the smart grid system and grid system stable operation, and the load regulation is less than 0.03%, the total harmonic distortion rate of the test AC bus voltage which exactly means total harmonic distortion is less than 0.03%, and the inverter efficiency is around 92%. The research results provide a reliable reference for system modeling, data processing, and control strategies, mitigate the contradiction between the smart grid and the power grid, and meet users' requirements for power consumption.