Mahmoud Elkazaz
A hierarchical centralized community energy management system using a model predictive controller
Elkazaz, Mahmoud; Sumner, Mark; Thomas, David
Authors
Mark Sumner
David Thomas
Abstract
This paper presents a Hierarchical Centralized Community Energy Management Systems (CCEMS) which facilitates the energy trading between prosumers in a community by coordinating the operation of distributed Home Battery Storage Systems (HBSSs) and shiftable home appliances in a centralized way using a Model Predictive Controller (MPC). The CCEMS achieves a further reduction in the annual household energy costs for each house, compared to being operated individually (not being a part of the community). The results obtained are based on real historic data of several prosumers in a real community system. The results show that the proposed hierarchical CCEMS guarantees a further reduction in the annual household energy costs for each house (up to 15.89%) when being operated as a part of a community, compared to being operated individually.
Citation
Elkazaz, M., Sumner, M., & Thomas, D. (2020, November). A hierarchical centralized community energy management system using a model predictive controller. Presented at 2020 International Conference on Smart Grids and Energy Systems (SGES), Perth, Australia
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | 2020 International Conference on Smart Grids and Energy Systems (SGES) |
Start Date | Nov 23, 2020 |
End Date | Nov 26, 2020 |
Acceptance Date | Nov 9, 2020 |
Online Publication Date | Mar 5, 2021 |
Publication Date | 2020 |
Deposit Date | Jun 23, 2025 |
Peer Reviewed | Peer Reviewed |
Book Title | 2020 International Conference on Smart Grids and Energy Systems (SGES) |
ISBN | 9781728185507 |
DOI | https://doi.org/10.1109/SGES51519.2020.00148 |
Public URL | https://nottingham-repository.worktribe.com/output/35723487 |
Publisher URL | https://ieeexplore.ieee.org/document/9364507 |
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search