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Power peak shaving with data transmission delays for thermal management in smart buildings

Yu Zhang, Yuan Jin, Jianguo Yao, Guchuan Zhu and Bin Wen

Article (2017)

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Cite this document: Zhang, Y., Jin, Y., Yao, J., Zhu, G. & Wen, B. (2017). Power peak shaving with data transmission delays for thermal management in smart buildings. IEEE Transactions on Industrial Informatics. doi:10.1109/tii.2017.2781256
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Abstract

This paper presents a scheme aimed at mitigating the influence of random data transmission delays in networked thermal appliance control systems in smart buildings. The impact of this type of delays is first analyzed, and it is proposed to utilize loose timing synchronization and add blank gaps between the consecutive appliance operations to avoid the possible violation of the given power budget. A cooperative control of thermal appliance operation is developed using a networked Model Predictive Control (MPC)-based controller to deal with delays. It is also shown that the schedulability of such a control scheme can be assessed online. The performance of the proposed control scheme is assessed by a simulation study based on the thermal dynamics of an eight-room office building. The obtained results show that the proposed solution can achieve an efficient power peaks shaving in the presence of random network delays.

Uncontrolled Keywords

Smart building, Power peak shaving, Thermal appliance control, Data transmission delay

Open Access document in PolyPublie
Subjects: 2500 Génie électrique et électronique > 2500 Génie électrique et électronique
2500 Génie électrique et électronique > 2509 Systèmes de contrôle
2500 Génie électrique et électronique > 2513 Transmission des données
Department: Département de génie électrique
Research Center: Non applicable
Funders: Program for NSFC, STCSM project, Shanghai Aerospace Science and Technology Innovation Fund, Shanghai Jiao Tong University
Grant number: 61772339, 61572322, 16QA1402200, YG2015MS47
Date Deposited: 01 Feb 2018 11:29
Last Modified: 24 Oct 2018 16:12
PolyPublie URL: https://publications.polymtl.ca/2962/
Document issued by the official publisher
Journal Title: IEEE Transactions on Industrial Informatics
Publisher: IEEE
Official URL: https://doi.org/10.1109/tii.2017.2781256

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