Multi-objective Optimization for Electric and Thermal Energy Storage of Integrated Energy System under Uncertainty

Energy storage system is an important unit to maintain stable output of the system, reduce energy cost, and realize peak-shaving in the integrated energy system. For the two commonly used energy storage methods, electrical energy storage and thermal energy storage, coordinating the optimal configuration of the two can make the system more efficient and energy-saving operation. At present, uncertainty brings great complexity to the optimal design of the system. At the same time, ignoring the influence of uncertainty on the system will lead to the optimization result being a suboptimal situation. Thus, in this paper, a multiobjective optimization under uncertainty is carried out to find the optimal configuration of electric and thermal energy storage system.