OPTIMAL AGC TUNING WITH GENETIC ALGORITHMS

This paper deals with the application of genetic algorithms for optimi zing the parameters of conventional automatic generation control (AGC) systems. A two-area nonreheat thermal system is considered to exempli fy the optimum parameter search. A digital simulation is used in conju nction with the genetic algorithm optimization process. Several integr al performance indices, or cost functions, are considered in the searc h for the optimal ACC parameters. The work is further extended to incl ude the use of more elaborate feedback control strategies, such as the proportional-plus-integral type, within the decentralized frame. The results reported in this paper have not been obtained before and they demonstrate the effectiveness of the genetic algorithms in the tuning of the AGC parameters. (C) 1996 Elsevier Science S.A.