Optimal Scheduling of Multi-Carrier Energy Networks Considering Liquid Air Energy Storage

Energy storage technologies are crucial to the future integrated energy system (IES) in the context of energy internet (EI). Liquid air energy storage (LAES) technology has been widely researched and implemented in the United Kingdom, since there are no special restrictions on geography compared to other technologies. However, there is little attention on LAES in China. In this paper, a linear programming model for the optimal scheduling of multicarrier energy networks considering LAES is established based on the concept of cryogenic energy hub, that is LAES-HUB. The results show that the daily operation cost of LAES-HUB model is 43735.28 RMB, which is even higher than the energy networks works without LEAS. LAES can achieve load shifting through peak and off-peak operations, providing an auxiliary function for energy balance in multi-carrier energy networks.