Signal Temporal Logic Control for Residential HVAC Systems to Accommodate High Solar PV Penetration
Abstract
This paper proposes a new signal temporal logic (STL) control for ON/OFF residential buildings' Heating Ventilation and Air Conditioning (HVAC) systems. STL is used to control indoor temperatures while consuming most of the generated solar photovoltaic (PV) power locally to minimize its impact on the grid and reduce the need for large energy storage devices. In contrast to most, if not all, control mechanisms such as the traditional model predictive control (MPC), STL control allows for including temporal constraints in the control formulation to further relax indoor temperatures' constraints and allow them to exceed the comfort band limits for a prespecified (short) period of time. This relaxation allows to consume an additional PV power by the HVAC systems, which prevents such an unwanted intermittent power from affecting the grid. We formulate the MPC-based STL control mechanism to implement the objective. Simulation results show that the PV tracking performance has been improved while employing the proposed STL controller.
- Authors:
-
- ORNL
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1632097
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Conference
- Resource Relation:
- Conference: The Eleventh Conference on Innovative Smart Grid Technologies (ISGT 2020) - Washington, District of Columbia, United States of America - 2/17/2020 5:00:00 AM-2/20/2020 5:00:00 AM
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Wu, Tumin, Olama, Mohammed M., Djouadi, Seddik M., Dong, Jin, Xue, Yaosuo, and Kuruganti, Teja. Signal Temporal Logic Control for Residential HVAC Systems to Accommodate High Solar PV Penetration. United States: N. p., 2020.
Web. doi:10.1109/ISGT45199.2020.9087722.
Wu, Tumin, Olama, Mohammed M., Djouadi, Seddik M., Dong, Jin, Xue, Yaosuo, & Kuruganti, Teja. Signal Temporal Logic Control for Residential HVAC Systems to Accommodate High Solar PV Penetration. United States. https://doi.org/10.1109/ISGT45199.2020.9087722
Wu, Tumin, Olama, Mohammed M., Djouadi, Seddik M., Dong, Jin, Xue, Yaosuo, and Kuruganti, Teja. 2020.
"Signal Temporal Logic Control for Residential HVAC Systems to Accommodate High Solar PV Penetration". United States. https://doi.org/10.1109/ISGT45199.2020.9087722. https://www.osti.gov/servlets/purl/1632097.
@article{osti_1632097,
title = {Signal Temporal Logic Control for Residential HVAC Systems to Accommodate High Solar PV Penetration},
author = {Wu, Tumin and Olama, Mohammed M. and Djouadi, Seddik M. and Dong, Jin and Xue, Yaosuo and Kuruganti, Teja},
abstractNote = {This paper proposes a new signal temporal logic (STL) control for ON/OFF residential buildings' Heating Ventilation and Air Conditioning (HVAC) systems. STL is used to control indoor temperatures while consuming most of the generated solar photovoltaic (PV) power locally to minimize its impact on the grid and reduce the need for large energy storage devices. In contrast to most, if not all, control mechanisms such as the traditional model predictive control (MPC), STL control allows for including temporal constraints in the control formulation to further relax indoor temperatures' constraints and allow them to exceed the comfort band limits for a prespecified (short) period of time. This relaxation allows to consume an additional PV power by the HVAC systems, which prevents such an unwanted intermittent power from affecting the grid. We formulate the MPC-based STL control mechanism to implement the objective. Simulation results show that the PV tracking performance has been improved while employing the proposed STL controller.},
doi = {10.1109/ISGT45199.2020.9087722},
url = {https://www.osti.gov/biblio/1632097},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Feb 01 00:00:00 EST 2020},
month = {Sat Feb 01 00:00:00 EST 2020}
}