Designing of 2-degree of freedom load frequency controller for power system using novel improved pole clustering and genetic method of reduced-order modelling

摘要

Load frequency controller (LFC) is required to eradicate the effect of disturbances occurring in the output of a power system due to conflicts in the applied load. The designing of these controllers may be tedious when the order of power system becomes higher. Here, model order reduction plays a vital role to reduce the order of higher-order systems by preserving the system characteristics. In the research paper, the reduced-order modeling of higher-order system is performed using proposed novel improved pole clustering and genetic technique. This technique employs a combination of newly developed form of pole clustering and genetic algorithm and has been tested for continuous and discrete time systems. The reduced model obtained from proposed technique is compared with the original system on the basis of errors including integral square error, integral time square error and integral absolute error and time and frequency domain performance metrics. The proposed reduced-order modelling is implemented to design a two degree of freedom LFC. Single-area and two-area power systems are initially reduced by the proposed technique. Then LFC based on internal model control-proportional integral derivative controller is designed for these power systems. The change in frequency due to variation in load is compensated efficiently by using the designed controller using proposed technique. Obtained results divulge the better performance of proposed method when compared to previous methods as reported in the literature.