Optimal operation of multi-energy systems in distributed energy network considering energy storage

Multi-energy system in distributed energy network consists of distributed heating, cooling, generation and other sub systems. This paper presented a multi-objective optimal scheduling strategy of multi-energy system which based on load forecast data and tight coupling for the relationship of supply and demand. According to different load characteristics, heat and cold energy storage energy hubs were designed. The multi-objective optimization strategy included that operational economic and comprehensive energy efficiency as multi-objective. The multi-objective model was performed based on two partial and global optimization scenarios in distributed energy network, which solved though the improved NAGA-II algorithm. A case study shows are carried out to examine the performance of the optimal scheduling strategy, which can effectively manage multi-energy in distributed energy network.