Optimal Sizing of Stand-Alone Microgrids Based on Recent Metaheuristic Algorithms Article Swipe
Ahmed A. Zaki Diab
,
Ali M. El‐Rifaie
,
Magdy T. Zaky
,
Mohamed A. Tolba
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/math10010140
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/math10010140
Scientists have been paying more attention to the shortage of water and energy sources all over the world, especially in the Middle East and North Africa (MENA). In this article, a microgrid configuration of a photovoltaic (PV) plant with fuel cell (FC) and battery storage systems has been optimally designed. A real case study in Egypt in Dobaa region of supplying safety loads at a nuclear power plant during emergency cases is considered, where the load characteristics and the location data have been taken into consideration. Recently, many optimization algorithms have been developed by researchers, and these algorithms differ from one another in their performance and effectiveness. On the other hand, there are recent optimization algorithms that were not used to solve the problem of microgrids design in order to evaluate their performance and effectiveness. Optimization algorithms of equilibrium optimizer (EQ), bat optimization (BAT), and black-hole-based optimization (BHB) algorithms have been applied and compared in this paper. The optimization algorithms are individually used to optimize and size the energy systems to minimize the cost. The energy systems have been modeled and evaluated using MATLAB.
Related Topics
Concepts
Microgrid
Computer science
Sizing
Mathematical optimization
Photovoltaic system
MATLAB
Metaheuristic
Optimization problem
Algorithm
Economic shortage
Optimization algorithm
Engineering
Mathematics
Artificial intelligence
Electrical engineering
Control (management)
Art
Linguistics
Operating system
Philosophy
Government (linguistics)
Visual arts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/math10010140
- https://www.mdpi.com/2227-7390/10/1/140/pdf?version=1641343764
- OA Status
- gold
- Cited By
- 30
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4206514801
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4206514801Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/math10010140Digital Object Identifier
- Title
-
Optimal Sizing of Stand-Alone Microgrids Based on Recent Metaheuristic AlgorithmsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-04Full publication date if available
- Authors
-
Ahmed A. Zaki Diab, Ali M. El‐Rifaie, Magdy T. Zaky, Mohamed A. TolbaList of authors in order
- Landing page
-
https://doi.org/10.3390/math10010140Publisher landing page
- PDF URL
-
https://www.mdpi.com/2227-7390/10/1/140/pdf?version=1641343764Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/2227-7390/10/1/140/pdf?version=1641343764Direct OA link when available
- Concepts
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Microgrid, Computer science, Sizing, Mathematical optimization, Photovoltaic system, MATLAB, Metaheuristic, Optimization problem, Algorithm, Economic shortage, Optimization algorithm, Engineering, Mathematics, Artificial intelligence, Electrical engineering, Control (management), Art, Linguistics, Operating system, Philosophy, Government (linguistics), Visual artsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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30Total citation count in OpenAlex
- Citations by year (recent)
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2025: 9, 2024: 6, 2023: 7, 2022: 8Per-year citation counts (last 5 years)
- References (count)
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33Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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