Abstract
This paper presents an intelligent modeling approach, named as free model approach, for a closed-loop system identification using input and output data and its application to design a power system stabilizer (PSS). The free model concept is introduced as an alternative intelligent system technique to design a controller for an unknown system with input and output data only, and without the detailed knowledge of mathematical model for the system. In the free model, the data used has incremental forms using backward difference operators. The parameters of the free model can be obtained by the simultaneous perturbation stochastic approximation (SPSA) method. The feasibility of the proposed method is demonstrated in a one-machine infinite-bus power system. The linear quadratic regulator method is applied to the free model to design a PSS for the system, and compared with the conventional PSS in different loading conditions and system failures such as the outage of a major transmission line or a three phase to ground fault which causes the change of the system structure.
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