A reliable GTR-PLC approach for power enhancement and online monitoring of solar PV arrays during partial shading
Belqasem Aljafari,
Priya Ranjan Satpathy,
Sudhakar Babu Thanikanti and
Siva Rama Krishna Madeti
Energy, 2024, vol. 303, issue C
Abstract:
The PV system encounters severe power loss due to the existence of unavoidable partial shading that is mainly overcome by reconfiguration techniques. Besides the advantage of power enhancement, reconfiguration techniques deal with drawbacks such as limited to symmetrical arrays, higher switches and sensors requirements, lower convergence to optimal solution, and improper monitoring. In this paper, a gorilla troop reconfiguration-power line communication (GTR-PLC) approach is proposed for performance enhancement and monitoring of PV arrays during partial shading. The proposed approach uses a considerably lower switch count along with a low-cost simple architecture for loss reduction and smooth operation of the PV array during partial shading. The proposed approach is validated for 5 × 5 and 9 × 9 arrays under time-domain dynamic shading scenarios in simulation whereas real-time hardware setup-based analysis is conducted for 2 × 3 and 12 × 4 arrays using numerous artificial shading cases. The performance of the proposed system is compared with twelve existing static and dynamic techniques and found to have zero misleading power loss with an average power increment of 38.37 %. Also, a power extraction efficiency of 98.99 % and an average calculation time of 0.09 s in the proposed system during partial shading is recorded.
Keywords: Photovoltaic array; Partial shading; Online monitoring; Peaks reduction; Power enhancement (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224016128
Full text for ScienceDirect subscribers only
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:eee:energy:v:303:y:2024:i:c:s0360544224016128
DOI: 10.1016/j.energy.2024.131839
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().