Modified Levy-based Particle Swarm Optimization (MLPSO) with Boost Converter for Local and Global Point Tracking Article Swipe
Chanuri Charin
,
Dahaman Ishak
,
Muhammad Ammirrul Atiqi Mohd Zainuri
,
Baharuddin Ismail
,
Turki Alsuwian
,
Adam R. H. Alhawari
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/en15197370
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/en15197370
This paper presents a modified Levy particle swarm optimization (MLPSO) to improve the capability of maximum power point tracking (MPPT) under various partial shading conditions. This method is aimed primarily at resolving the tendency to trap at the local optimum particularly during shading conditions. By applying a Levy search to the particle swarm optimization (PSO), the randomness of the step size is not limited to a specific value, allowing for full exploration throughout the power-voltage (P-V) curve. Therefore, the problem such as immature convergence or being trapped at a local maximum power point can be avoided. The proposed method comes with great advantages in terms of consistent solutions over various environmental changes with a small number of particles. To verify the effectiveness of the proposed idea, the algorithm was tested on a boost converter of a photovoltaic (PV) energy system. Both simulation and experimental results showed that the proposed algorithm has a high efficiency and fast-tracking speed compared to the conventional HC and PSO algorithm under various shading conditions. Based on the results, it was found that the proposed algorithm successfully converges most rapidly to the global maximum power point (GMPP) and that the tracking of GMPP under complex partial shading is guaranteed. Furthermore, the average efficiency for all test conditions was 99% with a tracking speed of 1.5 s to 3.0 s and an average output steady-state oscillation of 0.89%.
Related Topics
Concepts
Particle swarm optimization
Maximum power point tracking
Control theory (sociology)
Convergence (economics)
Tracking (education)
Randomness
Photovoltaic system
Mathematical optimization
Power (physics)
Point (geometry)
Maximum power principle
Boost converter
Computer science
Mathematics
Algorithm
Engineering
Physics
Artificial intelligence
Pedagogy
Electrical engineering
Economics
Statistics
Economic growth
Quantum mechanics
Psychology
Geometry
Control (management)
Inverter
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en15197370
- https://www.mdpi.com/1996-1073/15/19/7370/pdf?version=1665470385
- OA Status
- gold
- Cited By
- 3
- References
- 75
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4303699872
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4303699872Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/en15197370Digital Object Identifier
- Title
-
Modified Levy-based Particle Swarm Optimization (MLPSO) with Boost Converter for Local and Global Point TrackingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-10-07Full publication date if available
- Authors
-
Chanuri Charin, Dahaman Ishak, Muhammad Ammirrul Atiqi Mohd Zainuri, Baharuddin Ismail, Turki Alsuwian, Adam R. H. AlhawariList of authors in order
- Landing page
-
https://doi.org/10.3390/en15197370Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1073/15/19/7370/pdf?version=1665470385Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1996-1073/15/19/7370/pdf?version=1665470385Direct OA link when available
- Concepts
-
Particle swarm optimization, Maximum power point tracking, Control theory (sociology), Convergence (economics), Tracking (education), Randomness, Photovoltaic system, Mathematical optimization, Power (physics), Point (geometry), Maximum power principle, Boost converter, Computer science, Mathematics, Algorithm, Engineering, Physics, Artificial intelligence, Pedagogy, Electrical engineering, Economics, Statistics, Economic growth, Quantum mechanics, Psychology, Geometry, Control (management), InverterTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
75Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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