Enhanced evolutionary multi-objective optimization-based dispatch of coal mine integrated energy system with flexible load

Integrated energy systems, especially park-level ones, have attracted great attention since such structures lay the foundation of multi-energy complementary and cascade utilization of energy. Integrated energy systems for industries with associated multiple energy generated during the production process have not been explored. Here, we focus on the integrated energy systems for mine industry due to its high ecological requirements, i.e., the associated underground wastewater, mine gas, ventilation air methane, and geothermal should be sufficiently recycled and released as little as possible into nature. To this end, we first present a structure for coal mine integrated energy systems by integrating these forms of associated energy together with some flexible load. The multi-objective dispatch model of the system is then derived by considering the economic cost, carbon transaction cost for environment protection and degree of customer dissatisfaction for reducible and translational load. An enhanced evolutionary multi-objective algorithm by considering the time-series constrictions of the flexible load is further explored to efficiently obtain a set of solutions of the multi-objective dispatch. The presented algorithm is applied to a coal mine with multiple scenarios, and the results demonstrate the feasibility of our model and the effectiveness of the evolutionary multi-objective algorithm-based dispatch. •A structure for coal mine integrated energy system is proposed.•Associated energy and flexible load are considered.•The economy, carbon transaction, and dissatisfaction degree are considered.•An enhanced evolutionary multi-objective algorithm is explored to optimize the model.