Real-Time MPC for Residential Building Water Heater Systems to Support the Electric Grid
The world of IoT (internet of things) is spawning new control options and decision making that has not been available before. This is providing a wealth of opportunities for transactive type controls and systems that can negotiate for a common goal. This paper discusses a transactive residential neighborhood with optimization at the home level utilizing a system of agents. The real-time optimization utilizes information and modeling to optimize heat pump water heater operation in occupied homes. Data is presented showing the performance of the optimization and conclusions are drawn on next steps for development.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1649517
- Resource Relation:
- Conference: Innovative Smart Grid Technologies Conference (ISGT) - DC, District of Columbia, United States of America - 2/17/2020 3:00:00 PM-2/20/2020 10:00:00 AM
- Country of Publication:
- United States
- Language:
- English
Similar Records
A Real-time Agent Based Optimization and Control Approach for Residential Building Heating Ventilation and Air Conditioning Systems
A Cooperative Multi-Agent Deep Reinforcement Learning Framework for Real-Time Residential Load Scheduling
Impact of Connected Communities
Conference
·
Mon Mar 01 00:00:00 EST 2021
·
OSTI ID:1649517
+6 more
A Cooperative Multi-Agent Deep Reinforcement Learning Framework for Real-Time Residential Load Scheduling
Conference
·
Mon Apr 22 00:00:00 EDT 2019
·
OSTI ID:1649517
+2 more
Impact of Connected Communities
Technical Report
·
Tue Aug 03 00:00:00 EDT 2021
·
OSTI ID:1649517
+3 more