Title
Physics-Integrated Hierarchical/Distributed Hvac Optimization For Multiple Buildings With Robustness Against Time Delays
Abstract
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
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 Hatanaka114723.66
Xuan Zhang241.86
Wenbo Shi317121.33
Minghui Zhu44412.11
Na Li5652106.02