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

ABSTRACT 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.

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Publication Details

Journal
Energy Science & Engineering
Published
2025-12-12
DOI
https://doi.org/10.1002/ese3.70340
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

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

Muhammad Ammirrul Atiqi Mohd Zainuri, Praveen Kumar Balachandran, Palpandian Murugesan, Prince Winston David
Energy Science & Engineering
Advanced Battery Technologies Research
article

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

Muhammad Ammirrul Atiqi Mohd Zainuri, Praveen Kumar Balachandran, Palpandian Murugesan, Prince Winston David
article en

Abstract

ABSTRACT 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.

Energy Science & EngineeringVol. 14(1)
Deccan College of Medical Sciences (IN), National Institute of Ocean Technology (IN), ASA College (US), Solamalai College of Engineering, Chitkara University (IN), National University of Malaysia (MY)
Openalex Percentile: Top 57%
Advanced Battery Technologies Research
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