Title | ||
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Physics-Integrated Hierarchical/Distributed Hvac Optimization For Multiple Buildings With Robustness Against Time Delays |
Abstract | ||
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In this paper, we address energy management for heating, ventilation, and air-conditioning (HVAC) systems in multiple buildings, and present a novel hierarchical/distributed optimization algorithm based on passivity. After formulating a thermal dynamics and an associated optimization problem across multiple buildings, we present a novel physics-integrated hierarchical/distributed optimization algorithm based on so-called primal-dual algorithm and the algorithm presented in [7]. We then prove convergence of the zone temperatures to the optimal ones based on passivity. The algorithm is further extended to ensure robustness against inter-layer time delays using scattering transformation. The present algorithm is finally demonstrated through simulation. |
Year | Venue | Field |
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2017 | 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | Convergence (routing),Passivity,Energy management,Mathematical optimization,Computer science,Control theory,HVAC,Robustness (computer science),Optimization algorithm,Optimization problem,Thermal dynamics |
DocType | ISSN | Citations |
Conference | 0743-1546 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Takeshi Hatanaka | 1 | 147 | 23.66 |
Xuan Zhang | 2 | 4 | 1.86 |
Wenbo Shi | 3 | 171 | 21.33 |
Minghui Zhu | 4 | 44 | 12.11 |
Na Li | 5 | 652 | 106.02 |