A day-ahead optimal scheduling model of an integrated energy system for a facility agricultural–industrial park

Abstract

The widespread use of biogas and biomass fuels in facility agro-industrial parks has led to a significant increase in their carbon emissions. A day-ahead optimal scheduling model for an integrated energy system (IES) is proposed, that considers the coupling of biomass and power to gas (P2G) to reduce carbon emissions during the operation of an industrial park. The proposed model incorporates the two evaluation indices of the economy of and carbon emissions by the IES of the park, and formulates and solves a multi-objective optimization problem by using the ε-constraint method. From among the solutions to the Pareto front, we choose the scheduling strategy that delivers the optimal performance in case of multiple objectives by using the fuzzy decision method. Finally, the validity of the proposed model was verified by considering the IES of an agriculture–industrial park in the northwest region of China.