To meet the urgent need for enhanced grid regulation capabilities due to the high penetration of renewable energy and to resolve load-source imbalances

the optimization configuration method for a wind-solar-hydrogen gas turbine complementary system is investigated. The data-driven model for a gas turbine combined cycle unit that considering start-stop dynamics and hydrogen-blending combustion is developed

along with theoretical models for photovoltaic arrays

wind turbines

and electrolyzers. An energy distribution strategy for the system is proposed

and the system capacity configuration optimization model based on MOPSO algorithm is established. With the objectives of minimizing the levelized cost of electricity

load-source deviation and annual carbon emissions

the capacity configuration of the complementary system is optimized. The results demonstrate that

using selected meteorological and load data

the system equipped with 85.28 MW wind turbines

108.69 MW photovoltaic arrays

78.02 MW electrolyzers

and a 139 302 m3 hydrogen storage tank can achieve up to a 6%reduction in annual carbon emissions and a load-source deviation of only 0.02%. This validates that the system architecture integrating electrolyzer-gas turbine can effectively mitigate load-source deviation issues in power grid.