Prairie Dog Optimization-based Tilt-Integral-Derivative Controller for Frequency Regulation of Power System

The load frequency control (LFC) system is the primary subject of this investigation because of the critical role it plays in regulating both the generation and demand of electrical power. It is becoming increasingly important to ensure that the LFC system is implemented with precision as the level of uncertainty surrounding renewable energy sources and altering demand patterns continues to increase. An investigation into the dynamics of low-frequency converters (LFC) in a hybrid power system that functions in two domains and is comprised of a photovoltaic (PV) system and a reheat thermal system is the focus of this scientific study. The implementation of a tilt-integral-derivative (TID) controller is done in order to improve the performance of the system. In addition, the paper provides a description of the process by which the controller settings were adjusted by employing a one-of-a-kind optimization technique known as the Prairie dog optimizer (PDO). There has been no investigation into the use of this approach in LFC designs. It is an integral of time-multiplied absolute error (ITAE) that serves as the objective function of the optimization approach. A comparison is made between the performance of the PDO-tuned TID controller and other established strategies that have been published in recent literature. A decrease in overshoot values and an improvement in damping durations for both system frequency and tie-line power fluctuations are two of the evidences that demonstrate that the suggested strategy is superior to the methodologies that are currently in use. The results reveal that the proposed strategy is superior.