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Real-time Optimal Scheduling for Rural IES based on MPC Method

Under the carbon emission peak and carbon neutralization (bi-carbon) goal, integrated energy systems (IES) have been vigorously developed due to the advantages of reducing carbon emissions and improving energy efficiency. Multi-energy coupling exists in rural areas in China. Besides, the rural areas have biomass which is considered to be one potential new energy. This paper proposes a real-time optimal scheduling based on the model predictive control (MPC) method for the rural IES, the result shows that the MPC method is more reasonable than the myopic policy which is widely used in real-time optimization. But MPC method has the limitation of just considering the limited future time intervals and there are always prediction errors, it can not get the global optimal solution. Besides, this paper also analyzes the influence of the amount of biogas on the rural IES, showing the economics of the micro gas turbine that consumes biogas.