A novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions
Global optimization; Photovoltaic cells; Algorithm parameters; Environmental conditions; Environmental phenomena; Global maximum power point tracking; Maximum power point tracking techniques; Optimization algorithms; Photovoltaic systems; Standard versions; Maximum power point trackers
Saved in:
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-24916 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-249162023-05-29T15:28:47Z A novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions Yousri D. Babu T.S. Allam D. Ramachandaramurthy V.K. Etiba M.B. 56688582500 56267551500 55940454800 6602912020 57211810532 Global optimization; Photovoltaic cells; Algorithm parameters; Environmental conditions; Environmental phenomena; Global maximum power point tracking; Maximum power point tracking techniques; Optimization algorithms; Photovoltaic systems; Standard versions; Maximum power point trackers A partial shading condition is an environmental phenomenon that causes multiple peaks in Photovoltaic (PV) characteristics. Introducing robust and reliable Maximum Power Point Tracking technique is essential in PV systems to extract the Global Maximum Power Point (GMPP) irrespective of the environmental conditions. Therefore in this manuscript, a novel optimization algorithm is implemented for MPPT. The developed technique named Chaotic Flower Pollination Algorithm (C-FPA) merges the chaos maps (Logistic, sine, and tent maps) to tune the basic algorithm parameters adaptively. The effectiveness of the introduced variants is proved using several patterns of partial shading condition. Moreover, these variants are certified for tracking the GMPP in case of dynamic and sudden variation in the irradiance conditions. Several statistical analysis is carried out to evaluate the performance of the proposed variants in comparison with the standard version of the Flower Pollination Algorithm (FPA). The significant outcome clarifies that combining the chaos maps with FPA improves the dependability and stability of the FPA and offers higher tracking efficiency with a reduction of tracking time by 50% when compared to FPA. Moreover, the proposed C-FPA provides a better dynamic response, especially with the tent chaos map. � 2019 Institute of Electrical and Electronics Engineers Inc. All rights reserved. Final 2023-05-29T07:28:47Z 2023-05-29T07:28:47Z 2019 Article 10.1109/ACCESS.2019.2937600 2-s2.0-85075066599 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075066599&doi=10.1109%2fACCESS.2019.2937600&partnerID=40&md5=c5571914453d9f00fd44ab30fab89740 https://irepository.uniten.edu.my/handle/123456789/24916 7 121432 121445 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| description |
Global optimization; Photovoltaic cells; Algorithm parameters; Environmental conditions; Environmental phenomena; Global maximum power point tracking; Maximum power point tracking techniques; Optimization algorithms; Photovoltaic systems; Standard versions; Maximum power point trackers |
| author2 |
56688582500 |
| author_facet |
56688582500 Yousri D. Babu T.S. Allam D. Ramachandaramurthy V.K. Etiba M.B. |
| format |
Article |
| author |
Yousri D. Babu T.S. Allam D. Ramachandaramurthy V.K. Etiba M.B. |
| spellingShingle |
Yousri D. Babu T.S. Allam D. Ramachandaramurthy V.K. Etiba M.B. A novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions |
| author_sort |
Yousri D. |
| title |
A novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions |
| title_short |
A novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions |
| title_full |
A novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions |
| title_fullStr |
A novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions |
| title_full_unstemmed |
A novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions |
| title_sort |
novel chaotic flower pollination algorithm for global maximum power point tracking for photovoltaic system under partial shading conditions |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806423270399934464 |
| score |
13.222552 |