Robust Fractional MPPT-Based Moth-Flame Optimization Algorithm for Thermoelectric Generation Applications Article Swipe
Hegazy Rezk
,
Magdy T. Zaky
,
Mohammed M. Alhaider
,
Mohamed A. Tolba
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/en15238836
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/en15238836
Depending on the temperature difference between the hot and cold sides of the thermoelectric generator (TEG), the output performance of the TEG can be produced. This means that it is necessary to force a TEG based on robust maximum power point tracking (MPPT) to operate close to its MPP at any given temperature or load. In this paper, an improved fractional MPPT (IFMPPT) is proposed in order to increase the amount of energy that can be harvested from TEGs. According to the suggested method, fractional order control is used. A moth-flame optimizer (MFO) was used to determine IFMPPT’s optimal parameters. A comparison of the results obtained by the MFO is made with those obtained by a particle swarm optimizer, genetic algorithm, gray wolf optimizer, seagull optimization algorithm, and tunicate swarm algorithm in order to demonstrate MFO’s superiority. IFMPPT’s primary objective is to enhance dynamic responses and exclude steady-state oscillations. Consequently, incremental resistance and perturb and observe are compared with the proposed strategy’s performance. It was revealed that IFMPPT provides superior tracking results both in dynamic and steady-state conditions when compared with traditional methods.
Related Topics
Concepts
Control theory (sociology)
Maximum power point tracking
Particle swarm optimization
Thermoelectric generator
Power (physics)
Steady state (chemistry)
Computer science
Algorithm
Mathematics
Mathematical optimization
Thermoelectric effect
Physics
Control (management)
Artificial intelligence
Inverter
Quantum mechanics
Physical chemistry
Thermodynamics
Chemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en15238836
- https://www.mdpi.com/1996-1073/15/23/8836/pdf?version=1669199454
- OA Status
- gold
- Cited By
- 8
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4309849955
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4309849955Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/en15238836Digital Object Identifier
- Title
-
Robust Fractional MPPT-Based Moth-Flame Optimization Algorithm for Thermoelectric Generation ApplicationsWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-11-23Full publication date if available
- Authors
-
Hegazy Rezk, Magdy T. Zaky, Mohammed M. Alhaider, Mohamed A. TolbaList of authors in order
- Landing page
-
https://doi.org/10.3390/en15238836Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1073/15/23/8836/pdf?version=1669199454Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1996-1073/15/23/8836/pdf?version=1669199454Direct OA link when available
- Concepts
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Control theory (sociology), Maximum power point tracking, Particle swarm optimization, Thermoelectric generator, Power (physics), Steady state (chemistry), Computer science, Algorithm, Mathematics, Mathematical optimization, Thermoelectric effect, Physics, Control (management), Artificial intelligence, Inverter, Quantum mechanics, Physical chemistry, Thermodynamics, ChemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 1, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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