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Optimal Battery-Based Adaptive Reconfiguration Technique for a Partially Shaded Photovoltaic Array

delete2025-12-12
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P
Palpandian Murugesan *
P
Prince Winston David
P
Praveen Kumar Balachandran
M
Muhammad Ammirrul Atiqi Mohd Zainuri
DOI:10.1002/ese3.70340delete
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Abstract

Abstract

En 中文
Partial shading is a significant concern that causes a current mismatch between rows, resulting in local power peaks. Dynamic reconfiguration methods may not completely eradicate the current mismatch. Hence, a battery of similar capacity injects a compensation current to nullify the current mismatch. The main limitation of this approach is the selection of a battery with a similar capacity for all the rows. To address this shortcoming, the proposed study introduces the experimental verification of the optimal section of the battery-based adaptive reconfiguration (OBAR) technique is verified on 4 × 4 total-cross-tied PV array to reduce the current mismatch. The OBAR is implemented in two steps: initially, the adaptive reconfiguration technique is performed by switching circuit 1 to reduce the current mismatch. The OBAR algorithm monitors the existence of a current mismatch; if the mismatch persists, the switching circuit 2 selects the battery of suitable capacity from a battery bank of three ranges: 0.5 Ah and 18 V, 1 Ah and 18 V, and 1.5 Ah and 18 V based on the current mismatch. The OBAR is tested experimentally, and its performance is related to that of the total cross-tied array, adaptive reconfiguration, and battery-based current mismatch reduction technique. The experimental results reveal that the battery of 0.50 Ah is the optimal selection with a power enhancement of 67% to nullify the current mismatch. The economic analysis of the OBAR indicates its viability and it can be prolonged to PV array of any size.
Keywords:
adaptive reconfiguration
current injection
evaluation parameters
partial shading
photovoltaic array
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Energy Science and Engineering cover
Energy Science and Engineering
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3.4
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Vardhaman College of Engineering
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Kamaraj College of Engineering and Technology
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AAA College of Engineering and Technology
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Faculty of Engineering and Built Environment
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