An optimized reconfiguration technique of photovoltaic array using adaptive-JAYA optimization

Janani, C.; Babu, B. Chitti; Vijayakumar, K.

doi:10.1080/15567036.2023.2197853

Cited by 5 publications

(2 citation statements)

References 40 publications

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“…Based on the PV array's model, RPVPGS consist of the 6 × 6 PV array, which output voltage V out and output current I out listed as equation (2).…”

Section: Rpvpgs Modelingmentioning

confidence: 99%

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A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm

Yi,

Cheng,

Wang

et al. 2024

Phys. Scr.

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Photovoltaic (PV) power has become a crucial solution to the escalating energy crisis. Among the various implementations, Rooftop PV power generation systems (RPVPGS) are predominant in PV buildings. However, RPVPGS will face challenges such as reduced output power due to array fault or shading, leading to fluctuations in Building-Integrated PV (BIPV) power generation. This paper attempts to solve this problem by proposing a novel multivariate reconfiguration method based on the improved northern goshawk optimization algorithm (INGO). The aim is to find the optimal state of RPVPGS under various conditions. In this paper, extensive simulations were conducted on the experimental platform to assess the feasibility and effectiveness of the proposed method. It is worth noting that INGO outperforms existing technologies such as Arrow SoDuku and Zig-zag for the evaluation metrics mentioned in the article. Furthermore, rigorous simulation experiments were conducted on the semi-physical platform to validate the proposed approach. The power enhancement percentage deviation was between +0.1% to +0.2%. These results unequivocally demonstrate that the INGO-based multivariate reconfiguration method accurately reconfigures RPVPGS, ensuring the efficiency and stability of BIPV systems.

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“…Based on the PV array's model, RPVPGS consist of the 6 × 6 PV array, which output voltage V out and output current I out listed as equation (2).…”

Section: Rpvpgs Modelingmentioning

confidence: 99%

“…As a new source of energy from a wide range, solar energy is recognized by most countries [1][2][3]. China has one of the highest proportions of solar energy resources.…”

Section: Introductionmentioning

confidence: 99%

A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm

Yi,

Cheng,

Wang

et al. 2024

Phys. Scr.

View full text Add to dashboard Cite

show abstract

Reduced partial shading effect and enhancement of performance metrics using a Fibonacci based algorithm

Tatabhatla,

Agarwal,

Agarwal

et al. 2024

Int J Numerical Modelling

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Partial shading within arrays diminishes power output, induces hotspots, and compromises module integrity, thereby impacting system performance. The presence of bypass diodes further exacerbates these issues by introducing non‐convexities in power curves, leading to additional power losses. To solve this problem, a new reconfiguration technique named Fibonacci Random Number Generator is proposed in this work which minimizes the effects of shading on the panels. The proposed methodology swiftly reduces current discrepancies between PV array rows by reshuffles the panels in an array to disperse the shade better using a mathematical formula resulting in increased power output and smoother power curves during partial shading events. The effectiveness of the proposed method is measured in terms of GMPP, row current calculations, power loss (PL), mismatch losses (ML), execution ratio (ER), fill factor (FF), and capacity factor (CF) for four distinctive shading conditions. Validation of results in software and hardware platforms showcase the applicability of proposed approach in real‐time environments. Results indicate significant average power improvements of 25.49%, 15.47%, and 9.29% compared to existing popular reconfigurations like Skyscraper, Ken‐Ken, and Chaotic baker map. The proposed method stands out as a potent tool for optimizing PV arrays within real‐world systems grappling with partial shading issues.

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An Improved Horse Herd Optimization Based Reconfiguration of Solar Photovoltaic Arrays

Janani,

Babu,

Vijayakumar

2024

Lecture Notes in Electrical Engineering

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An optimized reconfiguration technique of photovoltaic array using adaptive-JAYA optimization

Cited by 5 publications

References 40 publications

A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm

A multivariate reconfiguration method for rooftop PV array based on improved northern goshawk optimization algorithm

Reduced partial shading effect and enhancement of performance metrics using a Fibonacci based algorithm

An Improved Horse Herd Optimization Based Reconfiguration of Solar Photovoltaic Arrays

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