电力需求侧管理2025，Vol.27Issue(3)：51-57,7.DOI:10.3969/j.issn.1009-1831.2025.03.008
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
摘要
Abstract
Faced with high upfront investment and low utilization rate of physical energy storage,cloud energy storage has received wide at-tention 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 stor-age 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.关键词
云储能/空调储能/虚拟储能/优化调度/运营机制Key words
cloud energy storage/air conditioning energy storage/virtual energy storage/optimal dispatch/operational mechanism分类
能源科技引用本文复制引用
王宝,张伟时,何川,林哲敏,江海龙,杨娜,丁启耀,周佳妮..考虑建筑空调系统热惯性的虚拟云储能优化运营方法[J].电力需求侧管理,2025,27(3):51-57,7.基金项目
国网安徽省电力有限公司科技项目(B6120923000W) （B6120923000W）
