Implementing the Henry Gas Solubility Optimization Algorithm for Optimal Power System Stabilizer Design

This study assesses the feasibility of the Henry gas solubility optimization (HGSO), a recent novel metaheuristic algorithm, to achieve optimal parameters for 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 of time-multiplied absolute error objective function was adopted. This objective function was minimized to tune the PSS parameters and improve the dynamic performance of the power system. The performance was evaluated using a single-machine infinite-bus system, and the obtained results were compared with atom search optimization and conventional based designed systems. The proposed HGSO approach for tuning PSS parameters has been shown to suppress electromechanical oscillations and provide a better statistical performance and convergence ratio.

Cite this article as: S. Ekinci, D. İzci, B. Hekimoğlu, “Implementing the Henry Gas Solubility Optimization Algorithm for Optimal Power System Stabilizer Design”, Electrica, vol. 21, no. 2, pp. 250-258, May, 2021.