dc.contributor.author |
Zhu, H
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|
dc.contributor.author |
Ouahada, K
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|
dc.contributor.author |
Abu-Mahfouz, Adnan MI
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|
dc.date.accessioned |
2022-01-24T07:28:24Z |
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dc.date.available |
2022-01-24T07:28:24Z |
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dc.date.issued |
2021-10 |
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dc.identifier.citation |
Zhu, H., Ouahada, K. & Abu-Mahfouz, A.M. 2021. A Lyapunov-based real time energy management system for smart IoT homes. http://hdl.handle.net/10204/12235 . |
en_ZA |
dc.identifier.isbn |
978-1-6654-3554-3 |
|
dc.identifier.isbn |
978-1-6654-0256-9 |
|
dc.identifier.issn |
2577-1647 |
|
dc.identifier.issn |
1553-572X |
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dc.identifier.uri |
DOI: 10.1109/IECON48115.2021.9589455
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|
dc.identifier.uri |
http://hdl.handle.net/10204/12235
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|
dc.description.abstract |
Smart homes are an integral component in developing smart cities. This paper studies the problem of real-time energy management of controllable loads for Internet of Things (IoT) connected homes with renewable energy generators and energy storage devices. By exploiting the delay tolerance of elastic loads, we develop a joint real-time energy storage control and load management system, aiming to minimize the long term time-averaged energy consumption cost without reducing energy consumption. This residential energy management problem is formulated as a constrained stochastic programming problem. A Lyapunov-based control algorithm is designed to decompose the long-term optimization problem into per-slot sub-problems and provide an asymptotically online optimal solution that is able to quickly adapt to the system dynamics without requiring any statistics of time-varying load demand and stochastic renewable generation. The proposed online control algorithm jointly optimizes energy consumption, load scheduling, and energy charging/discharging actions while satisfying the time-varying energy consumption preference of the user in each time slot. It is demonstrated through numerical simulations that the low-complexity online control algorithm ensures the load demand of the user served with a lower delay at a relatively low cost. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/9589455 |
en_US |
dc.source |
IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, ON, Canada, 13-16 October 2021 |
en_US |
dc.subject |
Energy management |
en_US |
dc.subject |
Energy storage management |
en_US |
dc.subject |
Load management |
en_US |
dc.subject |
Load scheduling |
en_US |
dc.subject |
Lyapunov optimisation |
en_US |
dc.subject |
Internet of Things |
en_US |
dc.subject |
IoT |
en_US |
dc.subject |
Smart homes |
en_US |
dc.title |
A Lyapunov-based real time energy management system for smart IoT homes |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
7pp |
en_US |
dc.description.note |
Copyright: 2021 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
EDT4IR Management |
en_US |
dc.identifier.apacitation |
Zhu, H., Ouahada, K., & Abu-Mahfouz, A. M. (2021). A Lyapunov-based real time energy management system for smart IoT homes. http://hdl.handle.net/10204/12235 |
en_ZA |
dc.identifier.chicagocitation |
Zhu, H, K Ouahada, and Adnan MI Abu-Mahfouz. "A Lyapunov-based real time energy management system for smart IoT homes." <i>IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, ON, Canada, 13-16 October 2021</i> (2021): http://hdl.handle.net/10204/12235 |
en_ZA |
dc.identifier.vancouvercitation |
Zhu H, Ouahada K, Abu-Mahfouz AM, A Lyapunov-based real time energy management system for smart IoT homes; 2021. http://hdl.handle.net/10204/12235 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Zhu, H
AU - Ouahada, K
AU - Abu-Mahfouz, Adnan MI
AB - Smart homes are an integral component in developing smart cities. This paper studies the problem of real-time energy management of controllable loads for Internet of Things (IoT) connected homes with renewable energy generators and energy storage devices. By exploiting the delay tolerance of elastic loads, we develop a joint real-time energy storage control and load management system, aiming to minimize the long term time-averaged energy consumption cost without reducing energy consumption. This residential energy management problem is formulated as a constrained stochastic programming problem. A Lyapunov-based control algorithm is designed to decompose the long-term optimization problem into per-slot sub-problems and provide an asymptotically online optimal solution that is able to quickly adapt to the system dynamics without requiring any statistics of time-varying load demand and stochastic renewable generation. The proposed online control algorithm jointly optimizes energy consumption, load scheduling, and energy charging/discharging actions while satisfying the time-varying energy consumption preference of the user in each time slot. It is demonstrated through numerical simulations that the low-complexity online control algorithm ensures the load demand of the user served with a lower delay at a relatively low cost.
DA - 2021-10
DB - ResearchSpace
DP - CSIR
J1 - IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, ON, Canada, 13-16 October 2021
KW - Energy management
KW - Energy storage management
KW - Load management
KW - Load scheduling
KW - Lyapunov optimisation
KW - Internet of Things
KW - IoT
KW - Smart homes
LK - https://researchspace.csir.co.za
PY - 2021
SM - 978-1-6654-3554-3
SM - 978-1-6654-0256-9
SM - 2577-1647
SM - 1553-572X
T1 - A Lyapunov-based real time energy management system for smart IoT homes
TI - A Lyapunov-based real time energy management system for smart IoT homes
UR - http://hdl.handle.net/10204/12235
ER -
|
en_ZA |
dc.identifier.worklist |
25209 |
en_US |