A System of Agents for Supporting Optimization and Control of a Connected Community

Joni Hall; Michael Starke; Jeffrey Munk; Helia Zandi; Teja Kuruganti; Heather Buckberry

doi:10.1109/JESTIE.2021.3112282

A System of Agents for Supporting Optimization and Control of a Connected Community

Joni Hall, Michael Starke, Jeffrey Munk, Helia Zandi, Teja Kuruganti, Heather Buckberry

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

The residential sector consumes a significant portion of the electricity sold in the United States. Above 60% of the energy used in the sector is used to operate heating, ventilation, and air conditioning (HVAC) systems and water heating (WH) systems. With the increase of intelligence in the grid and the new decision and control options enabled by the Internet of Things; control of these devices can be used to support the grid. This article presents a scalable multiagent system for optimizing HVAC and WH systems while maintaining comfort. It allows a utility to orchestrate the shifting of energy from critical periods without direct control, but instead by using a price signal. The architecture, optimization formulation, implementation strategy and results from an implementation project are discussed.

Original language	English
Pages (from-to)	57-68
Number of pages	12
Journal	IEEE Journal of Emerging and Selected Topics in Industrial Electronics
Volume	3
Issue number	1
DOIs	https://doi.org/10.1109/JESTIE.2021.3112282
State	Published - Jan 1 2022

Keywords

Agents
demand control
heating ventilation and air conditioning (HVAC)
Internet of Thing
load control
multiagent systems (MAS)
water heating (WH) systems

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10.1109/JESTIE.2021.3112282

Cite this

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title = "A System of Agents for Supporting Optimization and Control of a Connected Community",

abstract = "The residential sector consumes a significant portion of the electricity sold in the United States. Above 60\% of the energy used in the sector is used to operate heating, ventilation, and air conditioning (HVAC) systems and water heating (WH) systems. With the increase of intelligence in the grid and the new decision and control options enabled by the Internet of Things; control of these devices can be used to support the grid. This article presents a scalable multiagent system for optimizing HVAC and WH systems while maintaining comfort. It allows a utility to orchestrate the shifting of energy from critical periods without direct control, but instead by using a price signal. The architecture, optimization formulation, implementation strategy and results from an implementation project are discussed.",

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AB - The residential sector consumes a significant portion of the electricity sold in the United States. Above 60% of the energy used in the sector is used to operate heating, ventilation, and air conditioning (HVAC) systems and water heating (WH) systems. With the increase of intelligence in the grid and the new decision and control options enabled by the Internet of Things; control of these devices can be used to support the grid. This article presents a scalable multiagent system for optimizing HVAC and WH systems while maintaining comfort. It allows a utility to orchestrate the shifting of energy from critical periods without direct control, but instead by using a price signal. The architecture, optimization formulation, implementation strategy and results from an implementation project are discussed.

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KW - multiagent systems (MAS)

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A System of Agents for Supporting Optimization and Control of a Connected Community

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Keywords

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