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Modeling and control of central air conditionings for providing regulation services for power systems
Xie, Kang1; Hui, Hongxun2; Ding, Yi1; Song, Yonghua2; Ye, Chengjin1; Zheng, Wandong3; Ye, Shuiquan4
2022-04-08
Source PublicationApplied Energy
ISSN0306-2619
Volume315Pages:119035
Abstract

The increasing renewable energies bring more generation fluctuations to power systems, which puts forward a higher requirement on regulation services for maintaining the system balance. Existing traditional generating units probably cannot provide sufficient regulation services to solve this challenge. With the progress of information and communication technologies, it is possible to control demand-side flexible loads to provide regulation services. Among various flexible loads, central air conditionings (CACs) have huge regulation potential, because CACs account for about 40% of the total energy consumption in buildings. However, the operation of CACs is a complicated dynamic process with multiple subsystems and independent control loops. It is difficult to accurately regulate CACs to reach the required regulation services within the comfortable indoor temperature. To address this issue, this paper focuses on the quantitative assessment and two-layer coordinated controls of CACs to provide regulation services for the power system. Firstly, the thermal-electrical model of the CAC is established to describe the dynamic operation process of subsystems’ characteristics. On this basis, a quantitative assessment method of CAC's regulation services is proposed by discretizing the thermal-electrical operation characteristics. Then, to aggregate multiple CACs to provide significant regulation capacities, an adaptive allocation method is proposed to satisfy the power system's regulation requirement based on different CACs’ available regulation potential. Furthermore, an online distribution control method is developed to regulate each individual CAC's cooling capacity for guaranteeing the regulation accuracy and different occupants’ comfortable temperatures. The effectiveness of the proposed models and methods is illustrated by numerical studies.

KeywordCentral Air Conditioning Control Strategy Quantitative Assessment Control Strategy Regulation Services
DOI10.1016/j.apenergy.2022.119035
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEnergy & Fuels ; Engineering
WOS SubjectEnergy & Fuels ; Engineering, Chemical
WOS IDWOS:000793707400008
PublisherELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Scopus ID2-s2.0-85127775188
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Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Faculty of Science and Technology
Corresponding AuthorHui, Hongxun; Ding, Yi
Affiliation1.College of Electrical Engineering, Zhejiang University, Hangzhou, China
2.State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China
3.School of Environmental Science and Engineering, Tianjin University, Tianjin, China
4.RunPaq Technology Co. Ltd, Hangzhou, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Xie, Kang,Hui, Hongxun,Ding, Yi,et al. Modeling and control of central air conditionings for providing regulation services for power systems[J]. Applied Energy, 2022, 315, 119035.
APA Xie, Kang., Hui, Hongxun., Ding, Yi., Song, Yonghua., Ye, Chengjin., Zheng, Wandong., & Ye, Shuiquan (2022). Modeling and control of central air conditionings for providing regulation services for power systems. Applied Energy, 315, 119035.
MLA Xie, Kang,et al."Modeling and control of central air conditionings for providing regulation services for power systems".Applied Energy 315(2022):119035.
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