GA based Internal Model Controller Design for Load Frequency Control in Power System via Reduced Order Model

In the conventional two degree freedom (TDF)-internal model controller (IMC) design, obtaining suitable value of tuning parameter is much more complex and difficult. In this paper, the approach of genetic algorithm (GA) is proposed to obtain optimized value of tuning parameter used in TDF-IMC controller design. For TDF-IMC controller design, 2 nd order reduced-model is obtained using the Routh approximation. The results obtained are quite encouraging and shows the preservation of stability and other dominant/essential characteristics with improved response of load frequency control (LFC) during load disturbances and parameter variations. The applicability of the proposed algorithm is illustrated with the help of a suitable numerical example from literature.