Integrated multi-energy flow scheduling for green mining distribution networks with hydrogen-electric vehicles

Energy-intensive industries like mining require holistic energy system optimization to decarbonize. However, traditional optimization methods for mining areas neglect multi-link coordination and the integration of renewable energy. This leads to reduced production efficiency and high energy consumption. In response, this paper proposes an optimized model for mining area power distribution networks that coordinates multiple energy streams. With the optimization objectives set on electricity consumption data and the full-process information of coal mining and transportation, the model optimizes both electricity and hydrogen energy to enhance the mining area's overall energy system. Case analysis indicates that coordinating mining speed with production data can reduce operating costs by up to 17.08%, synchronizing conveyor belt speed with production data can lower total costs by up to 1.6%, and adjusting green mines operations in response to electricity price fluctuations can cut total costs by 3.6% without compromising coal output. This research enables system-level co-optimization of production and energy logistics through a high-credibility, fully-coupled model. The framework supports holistic decision-making from mine face to fleet, closing the loop between process engineering and energy management to deliver scalable gains in efficiency and sustainability.