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A Generalized Henon Map-Based Solar PV Array Reconfiguration Technique for Power Augmentation and Mismatch Mitigation.

Authors :
Amar Raj, Rayappa David
Anil Naik, Kanasottu
Source :
IETE Journal of Research. Nov2023, Vol. 69 Issue 11, p8404-8422. 19p.
Publication Year :
2023

Abstract

The conventional PV array configurations fail to eliminate the ill effects of partial shading (PS) thereby resulting in mismatch losses. PV array reconfiguration is considered as the most competent solution for shading-related issues. However, many reconfiguration techniques reported in the literature fail to disperse the shade effectively, not compatible with large-scale arrays, and are not generalized for all array sizes. To overcome these limitations, a highly efficient generalized Henon Map technique which is extensively used in the image encryption process is proposed in this paper to reconfigure the PV array. The proposed technique is extensively analyzed for 9 × 9, 8 × 8, 4 × 4, 3 × 5 and 4 × 3 PV arrays under distinct shading patterns with seven parameters. The obtained results are compared with conventional Series-Parallel, Total-Cross-Tied, and very recently reported Odd-Even, Odd-Even-Prime, Chaotic Baker's Map, Magic square, and Diagonal-TCT reconfiguration techniques. Besides, an experimental prototype model is developed and tested under artificially shading conditions to validate the competence of the proposed configuration. From the comprehensive analysis, it is noted that the proposed technique offers consistently superior performance with the least percentage mismatch and maximum power enhancement of 24.17%, 25.65%, and 47.81% for various shading cases of 9 × 9, 8 × 8, and 4 × 4 PV arrays, respectively. Further, a qualitative comparative assessment of the proposed technique with other state-of-art techniques is presented. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03772063
Volume :
69
Issue :
11
Database :
Academic Search Index
Journal :
IETE Journal of Research
Publication Type :
Academic Journal
Accession number :
175825214
Full Text :
https://doi.org/10.1080/03772063.2022.2055660