Global Maximum Power Point Tracking of Partially Shaded PV System Using Advanced Optimization Techniques

Nouman Akram, Laiq Khan, Shahrukh Agha and Kamran Hafeez
Additional contact information
Nouman Akram: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 44000, Pakistan
Laiq Khan: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 44000, Pakistan
Shahrukh Agha: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 44000, Pakistan
Kamran Hafeez: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 44000, Pakistan

Energies, 2022, vol. 15, issue 11, 1-29

Abstract: In this work, a meta-heuristic optimization based method, known as the Firefly Algorithm (FA), to achieve the maximum power point (MPP) of a solar photo-voltaic (PV) system under partial shading conditions (PSC) is investigated. The Firefly Algorithm outperforms other techniques, such as the Perturb & Observe (P&O) method, proportional integral derivative (PID, and particle swarm optimization (PSO). These results show that the Firefly Algorithm (FA) tracks the MPP accurately compared with other above mentioned techniques. The PV system performance parameters i.e., convergence and tracking speed, is improved compared to conventional MPP tracking (MPPT) algorithms. It accurately tracks the various situations that outperform other methods. The proposed method significantly increased tracking efficiency and maximized the amount of energy recovered from PV arrays. Results show that FA exhibits high tracking efficiency (>99%) and less convergence time (<0.05 s) under PSCs with less power oscillations. All of these methods have been validated in Matlab simulation software.

Keywords: maximum power point tracking; Firefly Algorithm; photovoltaic system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/11/4055/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/11/4055/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:11:p:4055-:d:829155

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().