Abstract
Buildings consume 74% of the total electricity produced in the United States. A significant portion of the building electric load includes heating ventilation and air-conditioning (HVAC) systems and water heating (WH) systems. Enabling flexibility in the operations can improve overall electric grid efficiency. This paper describes a multi-agent system for supporting integration, learning, optimization, and control of HVAC and WH in supporting a future smart grid. The architecture supports a transactive-based negotiation strategy between homeowners and a microgrid controller to adjust consumption behavior and reduce electricity costs. The framework is deployed in a neighborhood and preliminary testing is underway. The agent architecture design is discussed along with the preliminary optimization results from the demonstration site.
Original language | English |
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Title of host publication | 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 9781728119816 |
DOIs | |
State | Published - Aug 2019 |
Event | 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States Duration: Aug 4 2019 → Aug 8 2019 |
Publication series
Name | IEEE Power and Energy Society General Meeting |
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Volume | 2019-August |
ISSN (Print) | 1944-9925 |
ISSN (Electronic) | 1944-9933 |
Conference
Conference | 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 |
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Country/Territory | United States |
City | Atlanta |
Period | 08/4/19 → 08/8/19 |
Funding
Notice: This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
Keywords
- IoT
- agents
- demand management
- grid-interactive
- transactive