AI Summary & Key Takeaways
AI InsightThe proposed HGSO approach for tuning PSS parameters has been shown tosuppress electromechanical oscillations and provide a better statistical performance and convergence ratio.
📌 3 Key Takeaways
Özet
This study assesses the feasibility of the Henry gas solubility optimization (HGSO), a recent novel metaheuristic algorithm, to achieve optimal parametersfor a power system stabilizer (PSS) employed in a power system. To do so, the design problem was defined as an optimization problem and an integral oftime-multiplied absolute error objective function was adopted. This objective function was minimized to tune the PSS parameters and improve the dynamicperformance of the power system. The performance was evaluated using a single-machine infinite-bus system, and the obtained results were comparedwith atom search optimization and conventional based designed systems. The proposed HGSO approach for tuning PSS parameters has been shown tosuppress electromechanical oscillations and provide a better statistical performance and convergence ratio.