Global Maximum Power Point Tracking of Solar Photovoltaic Strings under Partial Shading Conditions Using Cat Swarm Optimization Technique

Nagadurga, T.; Narasimham, P. V. R. L.; Vakula, V. S.

doi:10.3390/su131911106

Cited by 17 publications

(18 citation statements)

References 34 publications

(41 reference statements)

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“…The proportion of each group to the other is determined by the ratio of the mixture (MR). Figure 29 displays the CSO algorithm's flowchart in entirety [110].…”

Section: Cat Swarm Optimization (Cso) Based Mpptmentioning

confidence: 99%

Comprehensive Review of Conventional and Emerging Maximum Power Point Tracking Algorithms for Uniformly and Partially Shaded Solar Photovoltaic Systems

et al. 2023

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The authors would like to thank "Universidad Panamericana" for their support through the project "Estudio de topologías de convertidores de cd-cd" grand number: UP-CI-2022-GDL-06-ING."ABSTRACT Renewable energy utilization is the only suitable solution to diminish the increasing level of greenhouse gas emissions, fuel costs, and energy crisis in the next generation. Out of many renewable sources, solar energy sources that are clean, green, and emission-free have gained wide utilization despite their intermittency nature. Several solar photovoltaic (PV) panels are connected in series-parallel to achieve the energy demand. In such a system, it is possible that each panel operates differently due to uneven temperature and irradiation that results in uniform and partial shading conditions. Thus, a unique and efficient mechanism is required to extract maximum power from uniformly and partially shaded PV systems. Numerous maximum power point tracking (MPPT) methods have been developed to increase the efficiency and lifetime of photovoltaic systems. This study provides a unique, in-depth, and organized review of MPPT methods under four categories: classical, intelligent, optimization, and hybrid techniques. All possible selection benchmarks are considered to do a comprehensive review, which is not deliberated in the existing review literature. Based on the selection benchmarks, the advantages and disadvantages of each MPPT technique under different categories are summarized in tabulated form. To address the research gaps for further investigation in this field, a concise discussion is included at the end. This review article may find an accessible reference for engineers to understand the most useful MPPT method and to undertake extensive research in PV systems.

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“…The proportion of each group to the other is determined by the ratio of the mixture (MR). Figure 29 displays the CSO algorithm's flowchart in entirety [110].…”

Section: Cat Swarm Optimization (Cso) Based Mpptmentioning

confidence: 99%

Comprehensive Review of Conventional and Emerging Maximum Power Point Tracking Algorithms for Uniformly and Partially Shaded Solar Photovoltaic Systems

et al. 2023

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“…In [32] for example, the hybrid approch HCS-PS-ANFIS-INC shows superior performances in terms of osscillations around MPP, response time and tracking e ciency in various irradiances conditions compared to P&O, INC, Fuzzy and ANFIS approaches. Some recent advanced and improved swarm algorithms [22,31,[33][34][35][36][37][40][41][42][43][44] have shown improved performances compared to previous ones. Figure 16 to Fig.…”

Section: New Trends On Gmpp Tracking Approchesmentioning

confidence: 99%

MPPT techniques for PV systems: A comprehensive review of current trends and recent advances in AI

Boubaker

2023

Preprint

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Over the past decades, solar photovoltaic (PV) energy has been considered as the most valuable green energy. It is renowned for its sustainability, environmentally friendly nature and low maintenance costs. Several methods aiming to extract the highest photovoltaic energy are described in the vast literature. The aim of this review is to focus on current trends and the most recent advances in the field. A “Scopus” bibliographic survey is carried out around survey and research articles published over the past three years (2019–2022) according to a predefined selection methodology. Over the selected works, different taxonomies of maximum power point tracking (MPPT) approaches are identified. The list of associated possible performance criteria is also established and new trends in the field are well identified. This survey paper could be a useful reference for researchers and companies concerned by the sustainable development goals (GSD) for clean energy production and climate change.

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“…In [32] for example, the hybrid approach HCS-PS-ANFIS-INC shows superior performances in terms of oscillations around MPP, response time and tracking e ciency in various irradiances conditions compared to P&O, INC, Fuzzy and ANFIS approaches. Some recent advanced and improved swarm algorithms [22,31,[33][34][35][36][37][40][41][42][43][44] have shown improved performances compared to earlier ones. Figure 16 to Figure 18 show some improved performances of these advanced algorithms compared to earlier ones.…”

Section: New Trends On Gmpp Tracking Approachesmentioning

confidence: 99%

MPPT techniques for PV systems: A comprehensive review of current trends and recent advances in AI

Boubaker

2023

Preprint

View full text Add to dashboard Cite

Over the past decades, solar photovoltaic (PV) energy has been the most valuable green energy. It is renowned for its sustainability, environmentally friendly nature, and minimal maintenance costs. Several methods aiming to extract the highest photovoltaic energy are found in the vast literature. The aim of this review is to focus on current trends and the most recent advances in the field. A “Scopus” bibliographic survey is conducted around survey and research articles published over the past three years (2019–2022) according to a predefined selection method. Over the selected works, different taxonomies of maximum power point tracking (MPPT) approaches are found. The list of associated performance criteria is also established and current trends in the field are well identified. This survey paper could be a useful reference for researchers and companies concerned by the sustainable development goals (GSD) for clean energy production and climate change.

show abstract

Global Maximum Power Point Tracking of Solar Photovoltaic Strings under Partial Shading Conditions Using Cat Swarm Optimization Technique

Cited by 17 publications

References 34 publications

Comprehensive Review of Conventional and Emerging Maximum Power Point Tracking Algorithms for Uniformly and Partially Shaded Solar Photovoltaic Systems

Comprehensive Review of Conventional and Emerging Maximum Power Point Tracking Algorithms for Uniformly and Partially Shaded Solar Photovoltaic Systems

MPPT techniques for PV systems: A comprehensive review of current trends and recent advances in AI

MPPT techniques for PV systems: A comprehensive review of current trends and recent advances in AI

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