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Noureddine Bouarroudj
Researcher at Center for Drug Evaluation and Research
Publications - 24
Citations - 326
Noureddine Bouarroudj is an academic researcher from Center for Drug Evaluation and Research. The author has contributed to research in topics: Maximum power point tracking & Photovoltaic system. The author has an hindex of 9, co-authored 21 publications receiving 180 citations. Previous affiliations of Noureddine Bouarroudj include École Normale Supérieure.
Papers
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Journal ArticleDOI
Experimental investigation of power management and control of a PV/wind/fuel cell/battery hybrid energy system microgrid
Boualam Benlahbib,Boualam Benlahbib,Noureddine Bouarroudj,Saad Mekhilef,Saad Mekhilef,Saad Mekhilef,Dahbi Abdeldjalil,Thameur Abdelkrim,Farid Bouchafaa,Abelkader lakhdari +9 more
TL;DR: It was concluded that the proposed system is very promising for potential applications in hybrid renewable energy management systems.
Journal Article
A Hybrid Fuzzy Fractional Order PID Sliding-Mode Controller design using PSO algorithm for interconnected Nonlinear Systems
TL;DR: In order to reduce the chattering phenomenon in sliding mode control (SMC), a Takagi-Sugeno fuzzy logic controller is used to replace the discontinuity in the signum function, and to ensure optimal performance in the closed loop system, the PSO algorithm is used.
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Optimized MPPT Controllers Using GA for Grid Connected Photovoltaic Systems, Comparative study
Abdelhalim Borni,Thameur Abdelkrim,Noureddine Bouarroudj,Abdelhak Bouchakour,Layachi Zaghba,Abdelkader Lakhdari,Laid Zarour +6 more
TL;DR: Comparisons between control strategies for grid connected photovoltaic system are proposed, in which the optimized fuzzy –PI controller by GA algorithms gives the better performance specification regarding the P&O-PI algorithm.
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Optimization of angle of inclination of the hybrid photovoltaic-thermal solar collector using particle swarm optimization algorithm
TL;DR: In this article, a mathematical model is used to determine the solar radiation incident on an inclined surface and the optimum slope angles for each month, season, and year are calculated for solar hybrid collectors.
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An Efficient Metaheuristic Technique to Control the Maximum Power Point of a Partially Shaded Photovoltaic System Using Crow Search Algorithm (CSA)
TL;DR: A new design of an MPPT controller based on a metaheuristic optimization technique called Crow Search Algorithm (CSA) to attenuate the undesirable effects of partial shading on the tracking performances of standalone PV systems is proposed.