考虑建筑空调系统热惯性的虚拟云储能优化运营方法

Virtual cloud energy storage optimization operation method considering thermal inertia of building air conditioning system

中文关键词: 云储能  空调储能  虚拟储能  优化调度  运营机制

英文关键词: cloud energy storage  air conditioning energy storage  virtual energy storage  optimal dispatch  operational mechanism

中文摘要:

      为弥补实体储能前期投资高、利用率低等缺陷，云储能作为一种新型的储能投资运营模式受到了广泛关注。考虑到空调负荷在国民用电负荷中的高占比，充分挖掘定频空调的虚拟储能潜力，建立可供租赁的空调虚拟储能聚合模型；基于此，在考虑风光荷不确定性的情况下，以提升联盟总体经济性为目标对云储能优化运营方法展开研究，并对比分析固定定价与动态定价场景下各用户的经济收益情况。算例结果表明，基于建筑空调系统热惯性的虚拟云储能优化运营方法能够有效提升运营商与用户的总体收益，减少用户用电支出，并在一定程度上促进用户侧可再生能源的消纳。

英文摘要:

      Faced with high upfront investment and low utilization rate of physical energy storage, cloud energy storage has received wide attention as a new type of energy storage investment and operation mode. Considering the high proportion of air-conditioning load in national electricity consumption, the virtual energy storage potential of fixed-frequency air-conditioners is fully exploited to establish an aggregated air- conditioner virtual energy storage model, which can be leased. Based on this, considering wind, photovoltaic and load uncertainty,cloud energy storage operators and users are taken as an alliance, and the research on the optimized operation method of cloud energy storage is carried out with the goal of improving the overall economic model of the alliance. The economic benefits of each user under the fixed pricing and dynamic pricing scenarios are compared and analyzed. Case study shows that the cloud energy storage optimization scheduling method based on the thermal inertia of scaled air conditioners can effectively improve the overall revenue of the operator and users, reduce the expenditure of users’electricity consumption, and promote the consumption of renewable energy on the users’side.