Abstract: To simultaneously meet the multi-objective requirements of reducing the comprehensive cost of a microgrid integrating wind, solar, hydrogen, and storage, improving the renewable energy consumption rate, and enhancing the utilization rate of sources and loads, a multi-objective optimization model is established for microgrid based on its output model, with economy, renewable energy consumption rate, and source-load utilization rate as optimization objectives. A multi-strategy improved HBA ( Honey Badger Algorithm ) is proposed. Finally, Using real off-grid data from Northwest China tests are conducted, and results show the improved HBA converges are faster and more stable. Unlike single-objective approaches yielding one solution, this model provides 36 Pareto-optimal options for flexible decision-making.

Key words: wind solar hydrogen storage microgrid, capacity configuration, pareto mechanism, honey badger optimization algorithm, golden sine strategy