Design of gray wolf optimizer for improving photovoltaic — Hydrogen hybrid system

This paper present an optimal photovoltaic-hydrogen standalone power system using gray wolf optimizer technique. The system composed of photovoltaic generator and a hydrogen production system. Electrical power from solar conversion meets the user loads and the surplus used for water electrolysis to produce hydrogen. Control system is ensured via feed bucks control loops. MPP Tracking regulates with PI controller for solar system and a cascade control loop with PIDs controllers for fuel system. The proposed optimization process using gray wolf optimizer contains an off-line optimization of system PIDs gains and an on-line optimization to developing an adaptive MPPT algorithm. Simulation results prove that the proposed power system with the optimization process enables to convert the total generated solar power, to control the hydrogen tank level and, get involved the fuel cell to the deficit power demands.