IMPROVING LOAD FREQUENCY CONTROL USING A PID CONTROLLER WITH A DERIVATIVE FILTER BASED ON ARTIFICIAL INTELLIGENCE

The purpose of this study is to develop a load frequency control (LFC) system that can drive and enable generators to overcome sudden changes in load or generation. The novelty of this study is that it proposes an LFC system that uses a PID controller with a coefficient filter or derivative filter based on a harmony search algorithm and a genetic algorithm. The system was developed as a nonlinear optimization problem, and the optimization function to be minimized was integral time absolute error (ITAE), seeking the parameters of the PID controllers K i , K p , K d , and the filter coefficient. The harmony search algorithm with a filter proposed the best performance compared with other methods. Three-area nonreheat systems were used with several loading and generation conditions. The scenarios for different conditions were applied in each area separately and simultaneously to test system readability with a sudden change in generations and loads. This work was simulated using MATLAB 2020a software. Keywords: Genetic Algorithm, Harmony Search Algorithm, Load Frequency Control, Frequency Deviation, Integral Time Absolute Error DOI： https://doi.org/10.35741/issn.0258-2724.58.4.102