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Real-time multi-energy demand response for high-renewable buildings
Da Xu1,2,3; Feili Zhong1,2,3; Ziyi Bai4; Zhibin Wu5; Xiaodong Yang6; Menglu Gao7
2023-02-15
Source PublicationENERGY AND BUILDINGS
ISSN0378-7788
Volume281Pages:112764
Abstract

Proactive demand response is a cost-effective approach to enhance energy flexibility of high-renewable urban energy systems. This paper proposes a two-stage real-time multi-energy demand response framework for a high-renewable building microgrid. In the first stage, a rolling horizon-based on-line scheduling model is formulated to economically optimize the building multi-energy converters and storages via a novel transactive pricing mechanism. In the second stage, the schedulable multi-energy flexibility for response devices is defined and evaluated via comprehensive information. After obtaining the stochastic optimal economical scheduling results in the first stage, the second stage performs a rule-based faster-time scale multi-energy allocation to offset the real-time mismatch energy due to supply–demand uncertainties. Case studies over a building microgrid are performed to validate the effective and superior performances of the proposed method on improvements of multi-energy economy and flexibility. Simulations results show that the system operating cost can be reduced by at most 36.9% with a higher operational flexibility.

KeywordSmart Building Demand Response Urban Energy Systems Energy Flexibility Renewable Energy
DOI10.1016/j.enbuild.2022.112764
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaConstruction & Building Technology ; Energy & Fuels ; Engineering
WOS SubjectConstruction & Building Technology ; Energy & Fuels ; Engineering, Civil
WOS IDWOS:000918863000001
PublisherELSEVIER SCIENCE SA, PO BOX 564, 1001 LAUSANNE, SWITZERLAND
Scopus ID2-s2.0-85145978547
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Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorZiyi Bai; Zhibin Wu
Affiliation1.School of Automation, China University of Geosciences, Wuhan, 430074, China
2.Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, 430074, China
3.Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan, 430074, China
4.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macao 999078
5.Department of Architecture, Karlsruhe Institute of Technology, Englerstr. 7, D-76131 Karlsruhe, Germany
6.School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, 230009, China
7.DC Company of State Grid Hubei Electric Power Co., Ltd., Yichang, 443000, China
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Da Xu,Feili Zhong,Ziyi Bai,et al. Real-time multi-energy demand response for high-renewable buildings[J]. ENERGY AND BUILDINGS, 2023, 281, 112764.
APA Da Xu., Feili Zhong., Ziyi Bai., Zhibin Wu., Xiaodong Yang., & Menglu Gao (2023). Real-time multi-energy demand response for high-renewable buildings. ENERGY AND BUILDINGS, 281, 112764.
MLA Da Xu,et al."Real-time multi-energy demand response for high-renewable buildings".ENERGY AND BUILDINGS 281(2023):112764.
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