Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3635
Title: A Novel Solar Photovoltaic Array Reconfiguration Technique Using Two-Dimensional Generalized Arnold's Cat Map
Authors: Amar Raj, Rayappa David
Naik, Kanasottu Anil
Keywords: Arnold's cat map
Efficiency
Issue Date: 2022
Publisher: Journal of Solar Energy Engineering, Transactions of the ASME
Citation: 10.1115/1.4054506
Abstract: This paper presents a highly efficient image encryption-based Arnold’s cat map (ACM) technique to reconfigure the photovoltaic (PV) array to enhance the output and mitigate the mismatch losses due to partial shading (PS). The proposed ACM technique concentrates on alleviating the power loss by effectively dispersing the shade over the entire PV array without modifying its electrical circuitry. The proposed reconfiguration technique is inves tigated and analyzed with conventional series–parallel and total-cross-tied configurations along with the recently reported chaotic Baker’s map, odd–even, odd–even–prime pattern based configurations. The proposed technique is examined for symmetrical 6×6 PV array and unsymmetrical 6×9 PV array under distinct nonuniform and uniform PS cases. To confirm the potency and superior performance of the proposed technique, the system has been extensively examined with nine performance parameters such as global maximum power, mismatch power, power loss, efficiency, fill factor, array yield, capacity factor, per formance ratio, and the number of maximum power peaks. An experimental setup of a 4×4 array reconfiguration system prototype is developed and tested in a real-time environment to validate the effectiveness of the proposed technique over the existing ones. From the com prehensive investigation, it is regarded that the proposed technique offers consistently supe rior performance with the least percentage mismatch losses and maximum power enhancement of 48.8%, 31.03%, and 27.5% for various shading cases of 6×6 and 6×9 PV arrays
Description: NITW
URI: http://localhost:8080/xmlui/handle/123456789/3635
Appears in Collections:Electrical Engineering

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