Kepler Algorithm for Large-Scale Systems of Economic Dispatch with Heat Optimization Article Swipe
Sultan Hassan Hakmi
,
Abdullah M. Shaheen
,
Hashim Alnami
,
Ghareeb Moustafa
,
Ahmed R. Ginidi
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/biomimetics8080608
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/biomimetics8080608
Combined Heat and Power Units Economic Dispatch (CHPUED) is a challenging non-convex optimization challenge in the power system that aims at decreasing the production cost by scheduling the heat and power generation outputs to dedicated units. In this article, a Kepler optimization algorithm (KOA) is designed and employed to handle the CHPUED issue under valve points impacts in large-scale systems. The proposed KOA is used to forecast the position and motion of planets at any given time based on Kepler’s principles of planetary motion. The large 48-unit, 96-unit, and 192-unit systems are considered in this study to manifest the superiority of the developed KOA, which reduces the fuel costs to 116,650.0870 USD/h, 234,285.2584 USD/h, and 487,145.2000 USD/h, respectively. Moreover, the dwarf mongoose optimization algorithm (DMOA), the energy valley optimizer (EVO), gray wolf optimization (GWO), and particle swarm optimization (PSO) are studied in this article in a comparative manner with the KOA when considering the 192-unit test system. For this large-scale system, the presented KOA successfully achieves improvements of 19.43%, 17.49%, 39.19%, and 62.83% compared to the DMOA, the EVO, GWO, and PSO, respectively. Furthermore, a feasibility study is conducted for the 192-unit test system, which demonstrates the superiority and robustness of the proposed KOA in obtaining all operating points between the boundaries without any violations.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/biomimetics8080608
- https://www.mdpi.com/2313-7673/8/8/608/pdf?version=1702548136
- OA Status
- gold
- Cited By
- 22
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389782367
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389782367Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/biomimetics8080608Digital Object Identifier
- Title
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Kepler Algorithm for Large-Scale Systems of Economic Dispatch with Heat OptimizationWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-14Full publication date if available
- Authors
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Sultan Hassan Hakmi, Abdullah M. Shaheen, Hashim Alnami, Ghareeb Moustafa, Ahmed R. GinidiList of authors in order
- Landing page
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https://doi.org/10.3390/biomimetics8080608Publisher landing page
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https://www.mdpi.com/2313-7673/8/8/608/pdf?version=1702548136Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2313-7673/8/8/608/pdf?version=1702548136Direct OA link when available
- Concepts
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Particle swarm optimization, Electric power system, Computer science, Algorithm, Mathematical optimization, Robustness (evolution), Power (physics), Mathematics, Quantum mechanics, Gene, Physics, Chemistry, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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22Total citation count in OpenAlex
- Citations by year (recent)
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2025: 9, 2024: 13Per-year citation counts (last 5 years)
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40Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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