Optimization scheduling of integrated coal mine energy systems based on multi-objective particle swarm optimization

The integrated energy system operation optimization problem in coal mines is characterized by multiple scenarios, multiple variables, multiple objectives, and strong constraints. Existing scheduling methods often suffer from low energy utilization efficiency and serious pollution. To address these challenges, this paper proposes an optimization scheduling plan for coal mine integrated energy systems based on a multi-objective particle swarm optimization algorithm. Firstly, it focuses on the establishment of coal mine integrated energy system models and the utilization of associated and renewable energy sources. Secondly, the multi-objective particle swarm optimization algorithm is employed to solve the model with multiple constraints and objectives. Finally, the effectiveness of the scheduling scheme and the adaptability of the multi-objective particle swarm optimization algorithm were verified through simulation analysis.