Enhancing power flow control in double circuit transmission line using GWO-optimized pi controller for five level UPFC

Power flow control in double circuit transmission lines is crucial for maintaining system stability and ensuring optimal utilization of resources. This paper proposes a novel approach using a Five Level Unified Power Flow Controller (UPFC) with a Grey Wolf Optimizer (GWO) tuned Proportional-Integral (PI) controller. The Five Level UPFC acts as a flexible and efficient solution, facilitating the concurrent regulation of both active and reactive power flow in transmission lines. By applying the GWO algorithm, the aim is to improve the performance of the UPFC control system through the optimization of the PI controller's parameters. By imitating the natural hunting behaviour of grey wolves, the GWO algorithm achieves exceptional convergence and solution accuracy. The suggested control scheme is implemented and tested on a double circuit transmission line system. The system's effectiveness is evaluated under various operating conditions and compared against alternative control approaches. The findings establish the efficacy of the Five Level UPFC with a GWO-optimized PI controller in effectively regulating power flow and enhancing overall system stability. Furthermore, the proposed approach exhibits excellent robustness against parameter variations, load fluctuations, and system disturbances. The GWO optimization technique ensures optimal tuning of the PI controller, this leads to decreased power losses, enhanced voltage profile, and improved system reliability. Overall, the application of the Five Level UPFC with GWO-tuned PI controller provides an efficient and reliable solution for power flow control in double circuit transmission lines. The suggested method can make a substantial contribution to enhancing the operational efficiency of power systems, this enables the seamless integration of renewable energy sources and the progression of smart grid infrastructures. The circuit is simulated using the MATLAB/SIMULINK software. And the following results from the simulation are presented below