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Two-phase collaborative optimization and operation strategy for a new distributed energy system that combines multi-energy storage for a nearly zero energy community

机译：新分布式能源系统的两相协同优化和运行策略，将多能量存储与近零能量社区相结合

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摘要

The combination of a distributed energy system and multi-energy storage system has the potential to use renewable energy on a large scale and to further improve the system's energy efficiency. Therefore, a new type of distributed energy system that combines multi-energy storage is proposed in this paper. Its novelty is that the three types of energy storage, i.e., cold, heat and electricity, are considered simultaneously, and the electric vehicle load is also included in the distributed energy system in combination with the multi-energy storage system, which allows full consideration of the effect of multi-energy storage on the distributed energy system. Three operation modes are proposed to give full play to the advantages of the new system according to the charging mode for electric vehicles. Subsequently, a two-phase collaborative optimization method for system configuration and operation optimization is proposed, and it is applied to a nearly zero energy community. The results show that the primary energy savings rate of the distributed energy system that combines multi-energy storage is 53.5% when the electric vehicle charging load is provided by the new system, which is 17.5% higher than that of the traditional distributed energy system, while the annual cost savings rate increased by only 8.3%. In addition, the hourly operating cost of the distributed energy system that combines multi-energy storage is also significantly reduced compared with the separated production system. Therefore, the method of two-phase collaborative optimization in the new system proposed in this paper can be used to realize the optimal system configuration and operation design for energy savings and consumption reduction. Finally, the new system can provide a feasible scheme for the energy supply of a nearly zero energy community in the future.
机译：分布式能量系统和多能量存储系统的组合具有大规模使用可再生能源的可能性，并进一步提高系统的能效。因此，本文提出了一种结合多能量存储的新型分布式能量系统。其新奇是同时考虑三种类型的能量存储，即冷，热量和电力，并且电动车辆负荷也包括在分布式能量系统中，与多能量存储系统组合，允许充分考虑多能量存储对分布式能源系统的影响。提出了三种操作模式，根据电动车辆的充电模式充分发挥新系统的优点。随后，提出了一种用于系统配置和操作优化的两相协同优化方法，并且它应用于近零能量群落。结果表明，当新系统提供电动车辆充电负荷时，将多能量存储的分布式能量系统的主要节能率为53.5％，比传统分布式能量系统高17.5％，虽然年度成本储蓄率仅增加了8.3％。此外，与分离的生产系统相比，结合多能量存储的分布式能量系统的每小时运营成本也显着降低。因此，本文提出的新系统中的两相协同优化的方法可用于实现能量节省和消耗减少的最佳系统配置和操作设计。最后，新系统可以在未来提供一种可行的能源供应能源供应。

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