GA application to optimization of AGC in three-area power system after deregulation

In this paper, genetic algorithm (GA), which is used for optimization of integral gains and bias factors, is applied to automatic generation control (AGC) in three-area power system after deregulation. The conventional three-area AGC system is modified to take into account the effect of bilateral contracts on the dynamics. In the considered power system, each area contains two GENCOs; GENCOs at the first and the second areas include steam turbines and GENCOs at the third area include hydro turbines as generating units. After deregulation, to describe bilateral contract for three-area AGC, DISCO participation matrix is used. The performance of the system is studied for different operating cases, in terms of the conventional controller gains and bias factors optimized using real coded GA.