Abstract

This study presents a comparative analysis of two metaheuristic algorithm Grey Wolf Optimization (GWO) and Sea Horse Optimization (SHO for solving Optimal Reactive Power Dispatch (ORPD) problem in modern power systems. The ORPD problem aims to minimize active power losses and improve voltage profiles while satisfying operational and security constraints. A wind-integrated IEEE 30-bus test system including 27 control parameters is employed to assess the algorithms under a realistic scenario. While GWO, inspired by the social hierarchy and hunting behavior of grey wolves, was previously applied with successful outcomes, this paper evaluates the performance of the nature-inspired SHO algorithm, which mimics swaying and spatial memory behavior of sea horses. Simulation results show that SHO outperforms GWO in minimizing power losses and improving voltage stability in considered wind-integrated scenario. These findings highlight the effectiveness of SHO as a promising tool for solving complex nonlinear optimization problems in renewable-rich power systems.

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