Artificial Hummingbird Algorithm Based Optimal Secondary Control for Islanded Microgrid

Abstract

Microgrids based on power electronics are made up of several voltage source inverters (VSIs) that are harmony operated in parallel. This paper presents a two-level hierarchical control technique for parallel inverters. The virtual impedance-based droop control is used in the primary control level based on alpha/beta stationary reference frame for equal active and reactive power sharing. The voltage amplitude and frequency deviations resulted from the primary controller are corrected by the secondary control level (SCL). Control system parameters are tuned using Artificial Hummingbird Algorithm after comparing the performance with other two optimization algorithms which are Particle Swarm and Grey Wolf Optimization. The control system's performance in both steady-state and dynamic conditions is validated through simulation.