The rapid increase in the depending on green
energy sources to deliver power, especially to remote areas
poses a challenging task for engineers to regulate and obtain
the most power available from these sources. This study
focuses on problems with power changes caused by the impacts
of wind and/or solar variations that are related to weather
conditions. Variable voltage and output power result from
these effects because they limit the ability to use various power
sources. Controller design and metaheuristic optimization
methods such as the honey badger algorithm (HBA) and
particle swarm optimization (PSO) are presented to overcome
these issues. There have been investigations into the design and
identification of the hybrid power microgrid system
components. MATLAB/Simulink is used to simulate, control,
and model the system. The obtained results show how
optimized controllers using the HBA technique compared to
PSO are more effective with efficiency reaching 99.9% of
maximum power generation and total harmonic distortion
(THD) reaching 1.99%.