Ensuring stable and optimal power system performance is paramount for reliable energy grid operation. This study comprehensively explores and compares four control strategies for Load Frequency Control (LFC) in interconnected power systems. Cases include operating without a controller (Case 1), employing Conventional Proportional-Integral-Derivative (PID) control (Case 2), utilizing Pole Placement (Case 3), and implementing Genetic Algorithm (GA)-optimized PID control (Case 4). Utilizing a dynamic system model with parameters from an isolated power station, the study observes system responses to sudden load changes and resulting frequency deviations. While Conventional PID (Case 2) demonstrates improvement, GA-optimized PID (Case 4) emerges as highly effective, show-casing minimal overshoot, rapid settling time, and enhanced peak values. The Pole Placement technique (Case 3) provides a comparative evaluation, revealing that GA-optimized PID excels in precise control. This analysis highlights trade-offs in control strategies, offering valuable insights for optimizing power system stability in interconnected grids and paving the way for further exploration of Intelligent control strategies.
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Ayaz et al. (2024) studied this question.
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