Dr Jubaer Ahmed J.Ahmed@napier.ac.uk
Lecturer
Objectives
This work proposes a Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search (CS) method.
Methods
It is acknowledged that CS exhibits several advantages which include fast convergence, higher efficiency using fewer tuning parameters. The paper outlines the concept of CS by highlighting the significance of the Lévy flight in influencing the algorithm’s convergence. The main equations that govern the behavior of the search are also explained. To justify CS as a viable MPPT option, a comprehensive assessment is carried out against two well established methods, namely Perturbed and Observed (P&O) and Particle Swarm Optimization (PSO). The evaluations include (1) gradual irradiance and temperature changes, (2) step change in irradiance and (3) rapid change in both irradiance and temperature. These tests are carried out for both large and medium-sized PV systems. Furthermore, the ability of the algorithm to handle the partial shading condition is demonstrated.
Results
The results show that CS is capable of tracking MPP within 100–250 ms under various types of environmental change. Besides, the power loss in steady state due to MPP mismatch is only 0.000008%. Furthermore, it can handle the partial shading condition very efficiently.
Conclusion
CS outperforms both P&O and PSO with respect to tracking capability, transient behavior and convergence.
Practical implications
Due to these excellent features, it is envisaged that the CS can be suitably used as a MPPT, particularly for large PV system.
Ahmed, J., & Salam, Z. (2014). A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability. Applied Energy, 119, 118-130. https://doi.org/10.1016/j.apenergy.2013.12.062
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 23, 2013 |
Online Publication Date | Jan 25, 2014 |
Publication Date | 2014-04 |
Deposit Date | Dec 28, 2021 |
Journal | Applied Energy |
Print ISSN | 0306-2619 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 119 |
Pages | 118-130 |
DOI | https://doi.org/10.1016/j.apenergy.2013.12.062 |
Keywords | Photovoltaic, MPPT, Soft computing, Cuckoo Search, Lévy flight, Partial shading |
Public URL | http://researchrepository.napier.ac.uk/Output/2823260 |
A soft computing MPPT for PV system based on Cuckoo Search algorithm
(2013)
Presentation / Conference Contribution
The application of soft computing techniques to improve the performance of maximum power point tracker for PV system during partial shading
(2014)
Presentation / Conference Contribution
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This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
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