Agent-Based System for Transactive Control of Smart Residential Neighborhoods

Starke, Michael; Munk, Jeffrey; Zandi, Helia; Kuruganti, Teja; Buckberry, Heather; Hall, Joni; Leverette, Jim S.

doi:10.1109/PESGM40551.2019.8973476

Agent-Based System for Transactive Control of Smart Residential Neighborhoods

Conference · Thu Aug 01 04:00:00 EDT 2019

DOI:https://doi.org/10.1109/PESGM40551.2019.8973476· OSTI ID:1607239

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ORNL

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.

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 1607239

Country of Publication:: United States

Language:: English

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