CPS compliance-constrained AGC optimization model for interconnected power grid

This paper presents a novel mixed integer linear programming (MILP) model of the optimal automatic generation control (AGC) strategy under the control performance standard (CPS) for the interconnected power grid. Generally, the orders of AGC regulation can be represented as three-state variables, but the optimization model with three-state variables are difficult to solve. In order to reduce the model's complexity and make the solution of the model effective, the presented model changes the traditional three-state variables to the two-state variables, and the nonlinear minimum acceleration/deceleration time constraints are linearized as well. The simulation of a practical power system shows that the proposed model is promising due to improving the CPS performance and reducing the orders of AGC more than 70%. Thus, the reliability and economy of the power system can be guaranteed. The proposed model has significance in both theory and application.