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A hierarchical centralized community energy management system using a model predictive controller

Elkazaz, Mahmoud; Sumner, Mark; Thomas, David

Authors

Mahmoud Elkazaz

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


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