Normalized and Improved Model Reference Adaptive System for Unified Power Flow Controller

The nonlinear nature and model uncertainties in electric power system show the importance of designing a suitable controller to operate under different operating conditions. In this paper, the problem of designing controller for UPFC is carried out with two objectives of easy implementation and operation under different loading conditions. In this regard, model reference adaptive system is proposed for UPFC control and this MRAS is improved by using PSO method. Besides, in order to limitation of input signal and also robustness, the normalization technique is used. The performance of the proposed algorithm is studied under nominal and heavy loading conditions and simulation results are presented to show robust performance of the proposed method. Also, the results of the proposed algorithm are compared with a PI type controller which is tuned by using PSO. Simulation results show the ability and effectiveness of the proposed method in comparison with the classical method.