Modeling and Operational Optimization of Comprehensive Energy System in Coal Mines

To address the challenges posed by random fluctuations in coal mine derivatives, renewable energy generation and load on the operation and scheduling of integrated energy systems, a two-stage stochastic optimization operation method for coal mine integrated energy systems is proposed. First, the characteristics of the derivatives and wind and solar resource utilization equipment are complete, and mathematical models and constraints are established. Second, a Monte Carlo simulation of random scene generation is used to establish the uncertainty model, and typical scenes are screened through scene reduction. Subsequently, in the first stage of optimization, constraints such as electricity prices and equipment power ramping were considered based on daily forecasting, and the unit output configuration was planned with the goal of maximizing the consumption of wind and solar resources, while the second-stage optimization considered the random fluctuations of load, with the goal of minimizing operating costs and coordinating flexible units to compensate for the first-stage optimization. Finally, using a coal mine in China as an example, the Yalmip toolbox and CPLEX solver were used to solve and verify that this method can effectively reduce costs.