Dynamic Optimization Model of AGC Strategy Under CPS for Interconnected Power System

摘要

Automatic generation control (AGC) is an important domain in the unit scheduling and control of the power system. The pros and cons of its control strategy directly determine its effect. To address the problem of the inadequate effect of the traditional AGC strategy, a dynamic optimization model of an AGC strategy under CPS (DOMAGCSC) for interconnected power systems is proposed in this paper to improve the performance of AGC. The optimal CPS indicator and the minimum ancillary service cost are considered as objective functions. The influence of frequency change in the optimization cycle, the characteristic of minimum duration time of unit adjustment, and other power system constraints are considered in the DOMAGCSC, which is a multi-objective mixed-integer nonlinear programming problem. Then, a multi-objective immunity evolutionary programming (MIEP) algorithm is presented to solve the DOMAGCSC. Numerical tests on two different power systems are implemented to examine the proposed model by MIEP. The simulation results show that the proposed DOMAGCSC could optimize and improve the efficiency of AGC through a coordinative control of hydro and thermal units as well as of fast and slow units between multi-control cycles.