Optimal parameters for sliding mode based load-frequency control in power systems

One of main obstacles in the usage of sliding mode based load-frequency control in a power system is the difficulty in choosing optimal controller parameters. Those parameters define the sliding surface and also dynamics of the reaching law. Constraints upon the choice of those parameters come out from the requirements of systempsilas stability and no steady state error. In this paper the parameters are computed using a genetic algorithm. Obtained optimal parameters are tested on simulations, which are conducted on a power system model consisting of three interconnected control areas.