Survey on adaptative neural fuzzy inference system (ANFIS) architecture applied to photovoltaic systems

Guerra, Maria Izabel da Silva; Araújo, Fábio Meneghetti Ugulino de; Neto, Joao T. de Carvalho; Vieira, Romênia Gurgel

doi:10.1007/s12667-022-00513-8

Cited by 19 publications

(14 citation statements)

References 153 publications

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“…Hybrid classi cation approaches [15,21] 5. Other [10,14,24] To better illustrate these categorizations, we give in Fig. 9 to Fig.…”

Section: Selection Synthesismentioning

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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“…Hybrid classi cation approaches [15,21] 5. Other [10,14,24] To better illustrate these categorizations, we give in Fig. 9 to Fig.…”

Section: Selection Synthesismentioning

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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“…Hybrid classi cation approaches [15,21] 5. Other [11,14,31] To better illustrate these categorizations, we give in Figure 10 to Figure 15 several examples of classi cations approaches.…”

Section: Selection Synthesismentioning

confidence: 99%

MPPT techniques for PV systems: A systematic review in 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 systematic 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 the PRISMA selection methodology. Over the selected works, different taxonomies of maximum power point tracking (MPPT) approaches are found. The list of associated performance criteria is also established, current trends, future directions and challenges 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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“…Moreover, Figure 2 demonstrates an apparent increasing interest on the topic in the last few years. Therefore, emphasis is placed on the analysis of recent literature reviews [52][53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68]. In addition, the literature is complemented with standards [69][70][71], selected papers [72][73][74][75][76], and reports [77].…”

Section: Photovoltaic (Pv) Systemsmentioning

confidence: 99%

“…It is worth noting that the I-V characteristic can be analyzed indirectly using thermography, flash, electroluminescence, and X-ray because there is a relation between hot spots and defects found with those tests and the voltage and current performance of the PV system. Tests and simulations are also performed for model parameter identification which is mainly intended for simulation, optimization of PV system performance, and energy production forecasting [55,65]. Moreover, modeling, simulation, and testing of faults have been widely studied.…”

Section: Fault Diagnosis and Condition Assessment Of Pv Systemsmentioning

confidence: 99%

Condition Assessment of Medium Voltage Assets: A Review

Mesino,

Caicedo,

Mamaní

et al. 2023

Adv. sci. technol. eng. syst. j.

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Condition assessment of medium voltage assets is essential to ensure reliability and costeffective operation of power distribution networks. This article presents a literature review of condition assessment of medium voltage assets related to a distribution system in a noninterconnected zone in Colombia, namely, power transformers, photovoltaic systems, switchgear, lines and cables, and instrument transformers. Advanced search rules are formulated to obtain bibliographic records of relevant academic literature from the database Scopus. The retrieved data are analyzed quantitatively to provide insights on the current state of research on the topic. Next, the most relevant academic papers for each medium voltage asset are selected and analyzed in a critical review along with more diverse literature including standards, technical reports, and white papers obtained through complementary searches. The results of the review show that several approaches have been formulated for condition assessment of medium voltage assets, ranging from traditional diagnostic methods to advanced artificial intelligence-based approaches. Moreover, research on some assets is already mature including power transformers, and photovoltaic systems, whereas other assets have been incipiently studied such as distribution and instrument transformers. Therefore, the need for deeper condition assessment research for these critical assets is highlighted. Research gaps are identified in the standardization and integration of condition assessment tools for distribution system operators.

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Survey on adaptative neural fuzzy inference system (ANFIS) architecture applied to photovoltaic systems

Cited by 19 publications

References 153 publications

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

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

Condition Assessment of Medium Voltage Assets: A Review

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