Coordinated scheduling of flexibility sources in an air-conditioning system with chilled water storage under dynamic electricity pricing
Under dynamic electricity pricing with high renewable penetration, a key issue in demand-side management is how to convert building loads into high-quality flexibility while limiting indoor-temperature variation. Existing dual-source coordination studies mostly remain within sequential or fixed-ratio shared-use modes, while dynamic ratio handover beyond such modes still lacks systematic discussion and experimental validation. To address this, this study proposes a staged coordination framework for the coordinated use of chilled water storage and building thermal mass, centered on a lead–relay–handover logic. Based on an experimental air-conditioning system with chilled water storage, single-source dynamic regulation tests, dual-source coordinated regulation tests, and all-day tracking tests under three representative dynamic electricity price structures are conducted. By quantifying response time, power ramp rate, load-adjustment magnitude, indoor-temperature variation, and operating cost, the regulation performance of different strategies and lead–relay sequences is compared. The results show that chilled water storage-led provides faster response and larger adjustment, while building-led operation is smoother and provides better indoor-temperature stability. The proposed method enables a flexible trade-off among response strength, indoor-temperature stability, and energy quality. For the Hunan and Fujian price structures, the calculated all-day operating cost is reduced by 13.7% and 14.5%, respectively, under the selected baseline and tariff conditions on the platform. Under the Beijing low-frequency single-peak price structure, the proposed strategy achieves effective price tracking and load reshaping. This study provides a reusable coordination method for flexible control of air-conditioning systems with chilled water storage under dynamic electricity pricing.
Authors
- 赵秘胜
- Shiyao Tang
- Wanfang Zhao
- Wenjie Wang (ORCID: https://orcid.org/0009-0003-2668-6223)
- Jingyu Cao (ORCID: https://orcid.org/0000-0003-0508-1279)
- Huian Zhong
- Yuchen Liu
- Jun Chen
- Jinqing Peng
Institutions
- Hunan University (CN)
- Harbin Institute of Technology (CN)
- Guangzhou Electronic Technology (China) (CN)
Publication Details
- Journal
- Applied Energy
- Published
- 2026-09-30
- DOI
- https://doi.org/10.1016/j.apenergy.2026.128905
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00