Fractional IMC-Based AGC for Interconnected Power System via Its Reduced Model Using Genetic Algorithm

In this paper, fractional IMC-based decentralized load frequency control (LFC) for multi-area power system is studied. At first, for decentralized controller design, the tie line power flow between the areas is assumed to be zero. Then, the transfer function models of each area have been reduced to lower order factional transfer function using genetic algorithm through step error minimization method. Based on the obtained reduced model, the controller has been designed. At last, the controller is equipped with multi-area power system to test the performance using MATLAB. The simulation results show that the proposed controller can minimize the load fluctuations and modelling errors effect on frequency and tie line power flow.