Multi-energy flow cooperative dispatch for generation, storage, and demand in integrated energy systems with dynamic correction

Abstract Integrated energy system is efficient and flexible in distributed energy supply, but the coupling of energy flows and the inaccuracy of prediction bring challenges to its economic operation. Peak shaving and demand management have become a necessary part of its operation method. In this paper, a cooperative dispatch method is proposed to optimize daily operations that consider the coupling characteristics of multi-energy flow in integrated energy systems. In addition, given the limitations of long-term and short-term prediction, a dynamic correction operation mode is proposed to improve the accuracy of the dispatch plan. In the case study, domestic hot water systems and charging piles are taken as dispatchable electricity demand, and indoor temperature is dispatchable cooling and heating demands. Electric energy storage is taken as the peak-shaving tool for electricity, and air conditioning circulation water is taken for cooling and heating. Based on this, daily operations over five winter days and five summer days are compared. The results show that, after applying this cooperative dispatch method, the energy supply costs are reduced by 10.82%, and carbon emissions are reduced by 9.71%. Meanwhile, the average energy efficiency is increased by 6.42%, and the average exergy loss rate is reduced by 5.46%.