The Optimal Resource Allocation Method for Demandside Communication Network in Smart Grid

In order to effectively promote the transformation from traditional smart grid to new power system, edge computing is integrated into smart grid to better adapt to different load changes and demands. In this paper, the optimal allocation method of communication task resources for both control and collection users on the demand side of smart grid is studied. Firstly, according to the different task requirements of control users and acquisition users, an optimization model is proposed to meet the requirements of minimum computing delay and minimum transmission rate of control users. Then the optimization problem is simplified by using decoupling and fractional programming, and the closed solution of the optimal problem is solved on this basis. The simulation results show that this method can not only guarantee the minimum transmission rate of the collection users, but also reduce the unloading delay of the control users, and has better performance than the traditional optimization scheme.