A Distributed Cooperative Power Allocation Method for Campus Buildings

Conference · Tue Sep 01 00:00:00 EDT 2015

DOI:https://doi.org/10.1109/PESGM.2015.7286240· OSTI ID:1223416

Hao, He; Sun, Yannan; Carroll, Thomas E.; Somani, Abhishek

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

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1223416
• Report Number(s): PNNL-SA-106776
• Resource Relation: Conference: IEEE Power & Energy Society General Meeting, July 26-20, 2015, Denver, Colorado, 1-5
• Country of Publication: United States
• Language: English