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Title: 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. doi:10.1109/PESGM.2015.7286240.
Hao, He, Sun, Yannan, Carroll, Thomas E., and Somani, Abhishek. Tue . "A Distributed Cooperative Power Allocation Method for Campus Buildings". United States. doi: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},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {9}
}

Conference:
Other availability
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