Robustness and stability analysis for parametric uncertainties in a three-area AGC power system using TLBO-LMI-tuned PI controller
Peter Anuoluwapo Gbadega, Yanxia Sun, Haijun Zhang
Abstract
In order to address the load frequency issue in a three-area power generating system, this research suggests a teaching learning-based optimization-linear matrix, inequalities-tuned proportional–integral controller. The suggested TLBO-LMI approach synchronizes TLBO with LMI control toolbox optimization to acquire the ideal control parameters of the traditional PI controller that adhere to the robust H∞ constraints. Based on the suggested control’s simplicity of implementation, adaptability to changes in the system’s characteristics, and resilience to tuning, it is contrasted with the robust H∞ controller. Several performance indicators were also employed to evaluate and contrast the efficiency and performance of the H∞ controller and the suggested control techniques. Based on the simulation results used to study the performance and robustness of the suggested controller, it is clear that the proposed control approach outperforms the H∞ controller in terms of both performance and applicability for the LFC problem.