Mohcene Bechouat

Prof. Mohcene Bechouat

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2017 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
YSYoucef Soufi
Youcef Soufi
Mohcene BechouatMohcene Bechouat
Mohcene Bechouat
SKSami Kahla
Sami Kahla

1 December 2016 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
YSYoucef Soufi
Youcef Soufi
SKSami Kahla
Sami Kahla
Mohcene BechouatMohcene Bechouat
Mohcene Bechouat

2 August 2024 in Scientific Reports
Verified
Journal Article
Open access
PDF file
ABAbdelhak Bouchakour
Abdelhak Bouchakour
LZLaid Zarour
Laid Zarour
NBNoureddine Bessous
Noureddine Bessous
Mohcene BechouatMohcene Bechouat
Mohcene Bechouat
ABAbdelhalim Borni
Abdelhalim Borni
SGSherif S. M. Ghoneim
Sherif S. M. Ghoneim
This paper presents a comparative study between four techniques recently used to improve the wind energy conversion system (WECS) to water pumping systems. The WECS is a renewable energy source which has developed rapidly in recent years. The use of the WECS in the water pumping field is a free solution (economically) compared to the use of the electricity grid supply. The control of WECS, equipped with a permanent magnet synchronous generator, has the objective of carefully maximising power generation. A comparative study between the proposed Fuzzy Logic Control, optimised using a genetic algorithm and particle swarm optimisation algorithm, and the conventional Perturb and Observe MPPT method using Matlab/Simulink, is presented. The performance of the proposed system has been verified against the generated output voltage, current and power waveforms, intermediate circuit voltage waveform, and generator speed. The presented results demonstrate the effectiveness of the control strategy applied in this work.

1 December 2016 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
YSYoucef Soufi
Youcef Soufi
SKSami Kahla
Sami Kahla
Mohcene BechouatMohcene Bechouat
Mohcene Bechouat


1 October 2014
Verified
Conference Paper
Closed access
YSYoucef Soufi
Youcef Soufi
Mohcene BechouatMohcene Bechouat
Mohcene Bechouat
SKSami Kahla
Sami Kahla
KBKais Bouallegue
Kais Bouallegue
In this paper, a fuzzy logic control (FLC) based “Mamdani” is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed technique uses the fuzzy logic control to specify the size of incremental current in the current command of MPPT. As results indicated, the convergence time of maximum power point (MPP) of the proposed algorithm is better than that of the conventional Perturb and Observation (P&O) technique.