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Fast Wasserstein-Distance-Based Distributionally Robust Chance-Constrained Power Dispatch for Multi-Zone HVAC Systems
Chen, Ge; Zhang, Hongcai; Hui, Hongxun; Song, Yonghua
2021-04-28
Source PublicationIEEE Transactions on Smart Grid
ISSN1949-3053
Volume12Issue:5Pages:4016-4028
Abstract

Heating, ventilation, and air-conditioning (HVAC) systems play an increasingly important role in the construction of smart cities because of their high energy consumption and available operational flexibility for power systems. To enhance energy efficiency and utilize their flexibility, strategic operation is indispensable. However, finding a desirable control policy for multi-zone HVAC systems is a challenging task because of unavoidable forecasting errors of ambient temperature and heat loads. This paper addresses this challenge by proposing a fast power dispatch model for multi-zone HVAC systems. A distributionally robust chance-constrained approach, which does not require the exact probability distributions of uncertainties, is employed to handle the uncertainties from forecasting errors. Both the uncertainty propagation among zones and accumulation over time are explicitly described based on the delicate indoor thermal model. Wasserstein distance is employed for the construction of ambiguity sets to improve the solution optimality. To overcome the computational intractability of Wasserstein-distance-based method, we first develop a time-efficient inner approximation for the objective function. A separation approach is then proposed to achieve the off-line calculation of uncertain parts in chance constraints. Numerical experiments prove that the proposed model can effectively achieve optimal power dispatch for HVAC systems with high computational efficiency.

KeywordChance-constrained Optimization Distributionally Robust Optimization Hvac Multi-zone Wasserstein Distance
DOI10.1109/TSG.2021.3076237
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000686785700032
Scopus ID2-s2.0-85105031735
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorZhang, Hongcai
AffiliationDepartment of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, Macao
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Chen, Ge,Zhang, Hongcai,Hui, Hongxun,et al. Fast Wasserstein-Distance-Based Distributionally Robust Chance-Constrained Power Dispatch for Multi-Zone HVAC Systems[J]. IEEE Transactions on Smart Grid,2021,12(5):4016-4028.
APA Chen, Ge,Zhang, Hongcai,Hui, Hongxun,&Song, Yonghua.(2021).Fast Wasserstein-Distance-Based Distributionally Robust Chance-Constrained Power Dispatch for Multi-Zone HVAC Systems.IEEE Transactions on Smart Grid,12(5),4016-4028.
MLA Chen, Ge,et al."Fast Wasserstein-Distance-Based Distributionally Robust Chance-Constrained Power Dispatch for Multi-Zone HVAC Systems".IEEE Transactions on Smart Grid 12.5(2021):4016-4028.
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