Grey wolves-based optimization technique for tuning damping controller parameters of unified power flow controller

摘要

This paper presents grey wolf optimization(GWO), which is a recently reported novel meta-heuristic optimizer, applied to optimize the damping controller parameters for a unified power flow controller connected to a single machine infinite bus power system for power oscillation damping. In this work the proposed GWO algorithm is compared with PSO algorithm in terms of convergence rate and computation time. The simulation result shows that the proposed algorithm provides better results as compared to other.