Low Carbon Economic Dispatch of Regional Integrated Energy System Considering Load Uncertainty

Abstract

Regional integrated energy system (RIES) can effectively improve the economy and environmental protection of terminal energy supply. In this paper, based on the discussion of the structure of typical RIES, multi-scenario fine modeling of key equipment is analyzed, then the probabilistic models of multiple loads of electricity, heat and cold are established. Scenario generation technology based on Latin hypercube sampling (LHS) in introduced, and scenario reduction technology based on K-means algorithm is carried out. After that, a low-carbon economic dispatching model of RIES considering load uncertainty is established, the costs of electricity, fuel, maintenance and carbon trading are considered, and energy balance constraints and several equipment operation constraints are taken into account. Case simulation results show that the low-carbon economic dispatching method of RIES proposed in this paper has obvious economic advantages compared with the traditional energy supply method. Considering the load uncertainty, the system will exchange smaller economy for higher stability. After joining the carbon emission market, the regional integrated energy system will consume more gas and buy less electricity, and the operation cost of the regional integrated energy system can be reduced obviously.