Zhang, Chengyu, Rezgui, Yacine  ORCID: https://orcid.org/0000-0002-5711-8400, Luo, Zhiwen, Jiang, Ben and Zhao, Tianyi
2024.
Simultaneous community energy supply-demand optimization by microgrid operation scheduling optimization and occupant-oriented flexible energy-use regulation.
Applied Energy
373
, 123922.
10.1016/j.apenergy.2024.123922
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Abstract
Community microgrids represent a pivotal solution for addressing energy conservation and reducing carbon emissions. However, few studies focused on the methods of concurrently optimizing both the supply and demand sides within campus settings, a unique form of community. Moreover, few studies on energy demand optimization rarely delved into human-centered approaches and employed multi-strategy parallel flexible regulations, while few studies on energy supply optimization discussed the comprehensive environment-energy-society-investment benefits as optimization objectives with suitable algorithms for calculation. Consequently, this study introduced a novel approach to energy system supply-demand optimization by simultaneous flexible energy-use regulation and microgrid operation scheduling, to explore human-centered multi-strategy parallel flexible energy-use regulations, and comprehensive evaluation parameters for energy supply-demand optimization. (1) Regarding flexible energy-use regulation, this study proposed several adjustments including adjusting the start-up temperature of air conditioners (ACs), organized charging of electric vehicles (EVs), light or plug management, and course optimization. These parallel adjustments can reduce or shift 12.12% of energy demand during peak hours and 8.06% during sharp hours, yielding 4.449%–8.820% of the annual average benefits in different cases. (2) Regarding microgrid optimization scheduling, this study introduced novel objectives aimed at maximizing investment-environment-energy-society benefits and solving algorithms, the jellyfish search algorithm (JSA), for calculation. Results showed 10.085%–11.728% of the annual average benefits in different cases. Ultimately, the optimization integration of flexible energy-use regulations and microgrid operation scheduling yields 15.655%–18.016% of the annual average benefits in different cases.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Engineering |
| Publisher: | Elsevier |
| ISSN: | 0306-2619 |
| Date of First Compliant Deposit: | 18 July 2024 |
| Date of Acceptance: | 12 July 2024 |
| Last Modified: | 17 Jul 2025 01:45 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/170659 |
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