Multi-objective Optimal Dispatching of the Integrated Energy System in the Industrial Park

Abstract

The integrated energy system (IES) has great application prospect in future energy system. Due to the high coupling of energy flow in the system, the dispatch operation needs to consider the unified dispatch of multiple energy sources. At present, the operation scheduling research of the integrated energy system mostly focuses on the single-objective optimization problem with the best economic cost, and the environmental protection and efficiency of the system are less considered. A multi-objective optimization scheduling model is proposed in this paper, taking the lowest operating cost, the lowest pollutant emissions, and the highest comprehensive energy utilization rate as objective functions. The Normal Boundary Intersection (NBI) method is adopted to solve this model and the partial small fuzzy set decision is used to get the best solution. Finally, the proposed model is verified on an IES of an industrial park in central China. The case study demonstrates that the proposed optimization scheduling model can generally make the system operation more environmentally friendly and efficient.