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

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.

KEYWORDS:

• Henon map
• Mismatch
• Partial shading
• PV array
• Reconfiguration
• Shade dispersal

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Rayappa David Amar Raj

Rayappa David Amar Raj is a research scholar at the National Institute of Technology, Warangal, India. He holds a master’s degree from the National Institute of Technology, Agartala, India. His areas of research include solar PV array reconfiguration, solar energy systems, power systems, image encryption techniques, and faults in a grid-connected solar photovoltaic system.

Kanasottu Anil Naik

Kanasottu Anil Naik has received PhD from the Indian Institute of Technology Roorkee in 2018. He has obtained M.Tech and B.Tech from the National Institute of Technology Hamirpur and JNTU Hyderabad, respectively. He is currently working as an assistant professor at the National Institute of Technology, Warangal. His research interests include wind energy systems, micro-grid stability, and DSP techniques application in power system. Email: [email protected]