Optimal dispatching strategy for user-side integrated energy system considering multiservice of energy storage

The user-side integrated energy system is of great significance for promoting the energy revolution. However, the multiple coupling forms of energy, as well as uncertainties from generation sources and loads have brought tremendous challenges to its optimal dispatch. In this paper, a two-stage coordinated scheduling method is proposed for the user-side integrated energy system that considers energy storage multiple services to minimize long-term operation costs. Besides, the proposed scheduling model is based on a two-part time-of-use electricity price mechanism. The first stage of the model determines the daily initial state of charge of energy storage, the demand management coefficient, and the baseline of demand response. The second stage is intra-day rolling scheduling, and the power scheduling of each unit in the system is optimized under the premise that the closer the time period, the higher the prediction accuracy. Energy storage is investigated for four main service options: 1) demand management; 2) demand response; 3) energy arbitrage; 4) providing reserve capacity. At the same time, a linear energy storage degradation cost model is established. The combined goal programming and dependent chance programming in the fuzzy environment is implemented to obtain a scheduling plan for the UIES efficiently and to ensure the system?s economy and the most possibility of the events of power balance in an uncertain environment. A case study verifies the effectiveness and advantages of the proposed method.