A new Fuzzy Logic architecture to control the DC-bus voltage in grid connected photovoltaic system

Nassar-Eddine, Ilham; Obbadi, Abdellatif; Et-Torabi, Karima; Mokhliss, Hamza; Elamiri, Assiya; Rmaily, R.; Errami, Youssef; Fajri, Abdelkrim El; Sahnoun, Smail; Agunaou, Mustapha

doi:10.1109/iccsre.2019.8807457

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Fuzzy logic is a popular and strong mathematical method that is used to tackle and manage uncertain and inaccurate information about decisions shown in Fig. 3 [19].…”

Section: Fuzzy Logicmentioning

confidence: 99%

A Multi-Perspective Benchmarking Framework for Estimating Usable-Security of Hospital Management System Software Based on Fuzzy Logic, ANP and TOPSIS Methods

2021

KSII TIIS

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One of the biggest challenges that the software industry is facing today is to create highly efficient applications without affecting the quality of healthcare system software. The demand for the provision of software with high quality protection has seen a rapid increase in the software business market. Moreover, it is worthless to offer extremely user-friendly software applications with no ideal security. Therefore a need to find optimal solutions and bridge the difference between accessibility and protection by offering accessible software services for defense has become an imminent prerequisite. Several research endeavours on usable security assessments have been performed to fill the gap between functionality and security. In this context, several Multi-Criteria Decision Making (MCDM) approaches have been implemented on different usability and security attributes so as to assess the usable-security of software systems. However, only a few specific studies are based on using the integrated approach of fuzzy Analytic Network Process (FANP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique for assessing the significant usable-security of hospital management software. Therefore, in this research study, the authors have employed an integrated methodology of fuzzy logic, ANP and TOPSIS to estimate the usablesecurity of

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“…Fuzzy logic is a popular and strong mathematical method that is used to tackle and manage uncertain and inaccurate information about decisions shown in Fig. 3 [19].…”

Section: Fuzzy Logicmentioning

confidence: 99%

A Multi-Perspective Benchmarking Framework for Estimating Usable-Security of Hospital Management System Software Based on Fuzzy Logic, ANP and TOPSIS Methods

2021

KSII TIIS

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“…To maintain supplying load under variables irradiation the current and voltage are adjusted to maximum power available for climatic conditions, MPPT techniques are used for extracting the maximum power from the PV arrays at different environmental conditions such as temperature and solar irradiance. Many MPPT algorithms have been used in the literature [1][2][3][4][5]. MPPT techniques are clustered into two major groups: the conventional and intelligent techniques.…”

Section: Introductionmentioning

confidence: 99%

“…These techniques show obvious shortcomings, such as low tracking efficiency during quickly changing solar irradiation and fluctuations about the point of maximum power. The intelligent techniques, including fuzzy logic controller (FLC) [3,4], artificial neural network (ANN) [5], particle swarm optimization (PSO) [1], genetic algorithm (GA) [6]. These algorithms present many advantages, such as low oscillations around the point of maximum power and a speedy tracking response to changing conditions.…”

Section: Introductionmentioning

confidence: 99%

MPPT Based Artificial Neural Network Versus Pertub & Observe For Photovoltaic Energy Conversion System

Et-Torabi

Mesbahi

2022

E3S Web Conf.

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In this paper, we present a study of maximisation power tracking for photovoltaic energy conversion chain. We give a comparison between two techniques of tracking maximum power; Perturb &Observe (P&O) as first method versus a second method using artificial neural network (ANN). The two methods are designed, modelled and simulated in MATLAB/Simulink environment. The simulation results are discussed involving performance and constraints of these two algorithms.

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A Robust Control based on Fuzzy Logic Approach of a Single-Stage Grid-Connected PV System

Nassar-Eddine

Obbadi

Errami

et al. 2019

Proceedings of the 4th International Conference on Big Data and Internet of Things

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A new Fuzzy Logic architecture to control the DC-bus voltage in grid connected photovoltaic system

Cited by 3 publications

References 15 publications

A Multi-Perspective Benchmarking Framework for Estimating Usable-Security of Hospital Management System Software Based on Fuzzy Logic, ANP and TOPSIS Methods

A Multi-Perspective Benchmarking Framework for Estimating Usable-Security of Hospital Management System Software Based on Fuzzy Logic, ANP and TOPSIS Methods

MPPT Based Artificial Neural Network Versus Pertub & Observe For Photovoltaic Energy Conversion System

A Robust Control based on Fuzzy Logic Approach of a Single-Stage Grid-Connected PV System

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