A Distributed Cooperative Power Allocation Method for Campus Buildings
Abstract
We propose a coordination algorithm for cooperative power allocation among a collection of commercial buildings within a campus. We introduced thermal and power models of a typical commercial building Heating, Ventilation, and Air Conditioning (HVAC) system, and utilize model predictive control to characterize their power flexibility. The power allocation problem is formulated as a cooperative game using the Nash Bargaining Solution (NBS) concept, in which buildings collectively maximize the product of their utilities subject to their local flexibility constraints and a total power limit set by the campus coordinator. To solve the optimal allocation problem, a distributed protocol is designed using dual decomposition of the Nash bargaining problem. Numerical simulations are performed to demonstrate the efficacy of our proposed allocation method
- Authors:
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1223416
- Report Number(s):
- PNNL-SA-106776
- DOE Contract Number:
- AC05-76RL01830
- Resource Type:
- Conference
- Resource Relation:
- Conference: IEEE Power & Energy Society General Meeting, July 26-20, 2015, Denver, Colorado, 1-5
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Hao, He, Sun, Yannan, Carroll, Thomas E., and Somani, Abhishek. A Distributed Cooperative Power Allocation Method for Campus Buildings. United States: N. p., 2015.
Web. doi:10.1109/PESGM.2015.7286240.
Hao, He, Sun, Yannan, Carroll, Thomas E., & Somani, Abhishek. A Distributed Cooperative Power Allocation Method for Campus Buildings. United States. https://doi.org/10.1109/PESGM.2015.7286240
Hao, He, Sun, Yannan, Carroll, Thomas E., and Somani, Abhishek. 2015.
"A Distributed Cooperative Power Allocation Method for Campus Buildings". United States. https://doi.org/10.1109/PESGM.2015.7286240.
@article{osti_1223416,
title = {A Distributed Cooperative Power Allocation Method for Campus Buildings},
author = {Hao, He and Sun, Yannan and Carroll, Thomas E. and Somani, Abhishek},
abstractNote = {We propose a coordination algorithm for cooperative power allocation among a collection of commercial buildings within a campus. We introduced thermal and power models of a typical commercial building Heating, Ventilation, and Air Conditioning (HVAC) system, and utilize model predictive control to characterize their power flexibility. The power allocation problem is formulated as a cooperative game using the Nash Bargaining Solution (NBS) concept, in which buildings collectively maximize the product of their utilities subject to their local flexibility constraints and a total power limit set by the campus coordinator. To solve the optimal allocation problem, a distributed protocol is designed using dual decomposition of the Nash bargaining problem. Numerical simulations are performed to demonstrate the efficacy of our proposed allocation method},
doi = {10.1109/PESGM.2015.7286240},
url = {https://www.osti.gov/biblio/1223416},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 01 00:00:00 EDT 2015},
month = {Tue Sep 01 00:00:00 EDT 2015}
}