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L. Chrifi-Alaoui

University of Picardie Jules Verne

33 Rue St Leu, 80000

Amiens, Haut -de-France 80000

France

  • University of Picardie Jules Verne

SCHOLARLY PAPERS

4

DOWNLOADS

213

TOTAL CITATIONS

1

Scholarly Papers (4)

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1.

Optimal Location of Wind Farm Based on Multi Objectives Optimization

Number of pages: 22 Posted: 23 Dec 2023
Ayachi Errachdi, taha Rachdi, Yahia Saoudi and L. Chrifi-Alaoui
Tunis El Manar University - National Engineering School of Tunis, Tunis El Manar University - National Engineering School of Tunis, affiliation not provided to SSRN and University of Picardie Jules Verne
Downloads 83 (796,622)
Citation 1

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Wind farm, Power loss minimization, Particle Swarm Optimization (PSO), Optimal location and size, FACTS, UPFC

2.

Design and Implementation of a Fuzzy Logic Supervisory Based on Smc Controller for a Dual Input-Single Output Converter

Number of pages: 35 Posted: 17 Feb 2022
Sameh MAHJOUB, Sami Labdai, L. Chrifi-Alaoui, S. Drid and Nabil Derbel
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Picardie Jules Verne, University of Batna 2 and affiliation not provided to SSRN
Downloads 73 (852,604)

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DISO DC-DC Converter, Nonlinear system, MIMO Supervisor, Fuzzy logic & SMC, Power Sharing

3.

Adaptive Maximum Power Point Tracking Using Neural Networks for a Photovoltaic Systems According Grid

Downloads 57 (1,031,043)

Adaptive Maximum Power Point Tracking Using Neural Networks for a Photovoltaic Systems According Grid

Electrical Engineering & Electromechanics, (5), 57–66, 2021. https://doi.org/10.20998/2074-272X.2021.5.08
Number of pages: 10 Posted: 19 Oct 2021 Last Revised: 25 Oct 2021
H. Sahraoui, H. Mellah, S. Drid and L. Chrifi-Alaoui
Hassiba Benbouali University of Chlef, Bouira University, University of Batna 2 and University of Picardie Jules Verne
Downloads 34 (1,326,242)

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grid-connected artificial neural network, adaptive modified perturbation and observation, artificial neural network-maximum power point tracking

Adaptive maximum power point tracking using neural networks for a photovoltaic systems according grid

Electrical Engineering & Electromechanics
Number of pages: 10 Posted: 25 Oct 2021
H. Sahraoui, H. Mellah, S. Drid and L. Chrifi-Alaoui
Hassiba Benbouali University of Chlef, Bouira University, University of Batna 2 and University of Picardie Jules Verne
Downloads 23 (1,486,852)

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grid-connected artificial neural network, adaptive modified perturbation and observation, artificial neural network-maximum power point tracking

4.

Passivity Voltage Based Control of the Boost Power Converter Used in Photovoltaic System

Electrical Engineering & Electromechanics, (2), 11–17. https://doi.org/10.20998/2074-272X.2022.2.02 (2022)
Posted: 07 Jun 2022
K. Baazouzi, A. D. Bensalah, S. Drid and L. Chrifi-Alaoui
University of Batna 2, University of Batna 2, University of Batna 2 and University of Picardie Jules Verne

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DC-DC converters, interconnection and damping assignment, passivity based control, port controlled Hamiltonian