In order to solve the problem that the coordinated control of conventional AGC and renewable energy AGC under the background of High proportion of renewable energy access to grid. This paper proposes an AGC multi-objective coordinative optimization method with Wind-PV-Hydro-Thermal. This method not only ensures the economic operation of the power grid, but also considers the frequency quality and power transmission capacity of the grid. Firstly, based on the long-term AGC historical statistical data in a certain region, the characteristics of different types of units to regulate frequency are analyzed, and the regulate frequency indexes are calculated. secondly, based on the requirements of the “Two Rules” of the Central China Power Grid, the regulate frequency cost and power loss cost, regulate frequency speed and regulate frequency accuracy are set the goal, and a multi-objective AGC active power coordinative optimization model including Wind-PV-Hydro-Thermal is proposed. finally, combining the power grid and AGC data in an inland region, the multi-objective particle swarm algorithm is used to solve the model, and the active power of each AGC station is obtained. The contribution has further verified the effectiveness of the method proposed in this paper.