Issue |
Sci. Tech. Energ. Transition
Volume 79, 2024
Decarbonizing Energy Systems: Smart Grid and Renewable Technologies
|
|
---|---|---|
Article Number | 76 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.2516/stet/2024079 | |
Published online | 02 October 2024 |
Regular Article
Energy management of the residential smart microgrid with optimal planning of the energy resources and demand side
1
Prince Sattam Bin Abdulaziz University, College of Engineering, Department of Electrical Engineering, Alkharj, 11942, Saudi Arabia
2
Laboratory LaTICE, Ecole Nationale, Supérieure D’ingénieurs de Tunis ENSIT, University of Tunis, Tunisia
3
College of Engineering and Information Technology, University of Dubai, Academic City, 14143, Dubai, UAE
4
Department of Chemistry, University College of Duba, University of Tabuk, Tabuk, Saudi Arabia
5
Marwadi University Research Center, Department of Electrical Engineering, Faculty of Engineering & Technology, Marwadi University, Rajkot 360003, Gujarat, India
6
NIMS School of Electrical and Electronics Engineering, NIMS University Rajasthan, Jaipur, Rajasthan, India
7
Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris Yeltsin, Ekaterinburg 620002, Russia
8
Head of the Department “Physics and Chemistry”, “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan
9
Scientific Researcher, University of Tashkent for Applied Sciences, Str Gavhar 1, Tashkent 100149, Uzbekistan
10
Western Caspian University, Scientific Researcher, Baku, Azerbaijan
11
Department of Medical Laboratories Technology, Al-Nisour University College, Nisour Seq. Karkh, Baghdad, Iraq
12
College of Pharmacy, The Islamic University, Najaf, Iraq
13
College of pharmacy, the Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq
14
College of pharmacy, The Islamic University of Babylon, Babylon, Iraq
15
The Department of energy, Madrid Institute for Advanced Studies in Energy, Madrid, Spain
* Corresponding author: yersi.luis.ro@gmail.com
Received:
2
July
2024
Accepted:
2
September
2024
The study specifically aimed to model the optimal operation of these appliances based on their usage patterns, rather than relying on the capacity of demand flexibility in demand response (DR) and energy pricing. The modeling operation of the appliances is done using two-layer energy optimization. In this optimization, energy consumption by appliances is reshaped via DR and load shifting in first-layer optimization. Then, minimizing the consumption costs and consumers’ discomfort in the second layer is formulated with consideration of the optimized consumption from the first layer. The lp-metric method is employed to solve the proposed optimization in the GAMS software. Finally, the efficiency of the two-layer optimization is confirmed using testing proposed case studies in the numerical simulation.
Key words: Optimal operation / Demand flexibility / Energy consumption / Load shifting / Consumers’ discomfort
© The Author(s), published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.