Enhanced Load Frequency Control of Power Systems Using GA Optimization in MATLAB/Simulink
Keywords:
PID, LFC, AVR, GA, GA-PID controller, power system controlAbstract
The load frequency control (LFC) of a single-area power system under various load conditions is examined in this paper utilizing various control algorithms. Using MATLAB/Simulink, a dynamic model that includes the steam turbine, generator, load, and control system is created and put into use. In three different scenarios—without a controller, with a traditional PID controller, and with a PID controller optimized with a genetic algorithm (GA)—the study assesses system performance. To establish baseline performance, the traditional PID controller is first used with non-optimized parameters. The ideal set of PID gains is then found using a GA with the goal of improving system stability and dynamic response. Key measures such frequency stability, load tracking capabilities, overshoot, settling time, and disturbance rejection are used to evaluate the performance of both controllers. The suggested GA-PID controller much outperforms the traditional PID method, according to simulation findings. In particular, it achieves better robustness against load perturbations, quicker settling times, and less overshoot. These enhancements demonstrate how well GA-based optimization works to adjust controller parameters for intricate power system applications. The results verify that the GA-PID controller offers a dependable and effective way to preserve frequency stability in single-area power systems, which makes it a viable strategy for contemporary power system control.
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