@inproceedings{4d6c6b49ed4a4f829fcd8f12fcae4699,
title = "Adaptive control for residential HVAC systems to support grid services",
abstract = "In this paper, we propose an adaptive control strategy for residential buildings' heating ventilation and air conditioning (HVAC) systems to support grid services. The proposed control strategy captures the time-varying characteristics of the building and weather environments. It assigns to each building a local controller to maintain the indoor temperature within a desired comfort level, while the load aggregator allocates the assigned reference power provided by the distribution system operator to support a specific grid service, such as demand peak reduction, balancing supply and demand, and consuming the solar photovoltaic (PV) power locally. Simulation results are presented to verify the performance of the proposed control strategy in terms of maintaining the indoor temperatures of several buildings within the desired comfort bands while tracking the reference power profile. Also, a comparison with a recently developed model-free control strategy is presented.",
keywords = "Adaptive control, Demand response, HVAC system, Load aggregator, Model-free control, Solar photovoltaic",
author = "Wu Tumin and Olama, {Mohammed M.} and Djouadi, {Seddik M.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021 ; Conference date: 16-02-2021 Through 18-02-2021",
year = "2021",
month = feb,
day = "16",
doi = "10.1109/ISGT49243.2021.9372229",
language = "English",
series = "2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2021",
}
