A new solution for tackling mismatching losses in solar PV array via image encryption | [ARPN Journal of Engineering and Applied Sciences • 2024]

Author(s):

1. Karthick B.: Department of Electrical and Electronics Engineering, Madanapalle Institute of Technology and Sciences,Madanapalle, Andhra Pradesh,India

2. Vengatesan V.: Department of Electrical and Electronics Engineering, SRM TRP Engineering College,Tiruchirappalli, Tamil Nadu,India

3. Amala Arockia Raj J.: Department of Electrical and Electronics Engineering, J. J. College of Engineering and Technology,Tiruchirappalli, Tamil Nadu,India

4. Kumara Swamy I.: Department of Electrical and Electronics Engineering, Sree Vidyanikethan Engineering College/MB University,Tirupati, Andhra Pradesh,India

5. Venkateswaran Madhu: Department of Electrical and Electronics Engineering, Lendi Institute of Engineering and Technology,Vizianagaram, Andhra Pradesh,India

Abstract:

Solar photovoltaic systems may undergo changes in power generation due to environmental factors such as partial shadowing, resulting in losses due to mismatch. This can ultimately lead to a decrease in the efficiency of the system's power conversion. While current solutions are both cost-effective and efficient, there is potential for novel approaches to further enhance system performance by improving consistency, power production, and minimizing mismatch losses. To address these limitations, this paper proposes the utilization of a highly efficient generalized Arnold's cat Map technique, commonly used in the image encryption process, to reconfigure the PV array. The effectiveness of these proposed approaches is evaluated in a MATLAB Simulink environment, specifically for a symmetrical (8x8) PV array, under various benchmark conditions such as Long wide; Short wide, Long Narrow, and Short Narrow shading conditions. The results obtained from these evaluations are then compared to prominent strategies such as Total-cross-tied and the recently reported Chaotic Baker's Map reconfiguration techniques. Furthermore, extensive analysis is conducted using different performance indices to gain a comprehensive understanding of the proposed approaches.

Page(s): 765-771

DOI: DOI not available

Published: Journal: ARPN Journal of Engineering and Applied Sciences, Volume: 19, Issue: 12, Year: 2024

Keywords:

Global Maximum Power Point , partial shading , mismatch loss , Arnolds cat map , fillfactor

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