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.
Original language | English |
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Title of host publication | 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728131030 |
DOIs | |
State | Published - Feb 2020 |
Event | 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 - Washington, United States Duration: Feb 17 2020 → Feb 20 2020 |
Publication series
Name | 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 |
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Conference
Conference | 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020 |
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Country/Territory | United States |
City | Washington |
Period | 02/17/20 → 02/20/20 |
Funding
This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
Keywords
- Distributed energy resources
- HVAC systems
- Model predictive control
- Signal temporal logic
- Solar photovoltaic