Mickael Hilairet

Prof. Mickael Hilairet

Université Bourgogne Franche-Comté
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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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28 July 2022 in Energies
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Journal Article
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Hedi BASBASHedi BASBAS
Hedi BASBAS
YLYong-Chao Liu
Yong-Chao Liu
SLSalah Laghrouche
Salah Laghrouche
Mickael HilairetMickael Hilairet
Mickael Hilairet
FPFranck Plestan
Franck Plestan
This article proposes a review of the modeling approaches for floating offshore wind turbines (FOWTs) for nonlinear control design. The aerodynamic, hydrodynamic and mooring line dynamic modules for the FOWT have been reviewed to provide an overview of several modeling approaches with their respective features. Next, three control-oriented models from the literature are revisited by presenting their methodological approaches to modeling and identification. These three models cover the three most popular types of FOWTs. Then, the performances of these models are validated with the open fatigue, aerodynamics, structures, and turbulence (OpenFAST) code, and their performances are evaluated according to several criteria. Finally, one of the three models is used to illustrate a nonlinear second-order sliding mode control based on the twisting algorithm to optimize the performance of the FOWT in terms of energy extraction and reduction in the platform pitch oscillation.

15 March 2021 in Energies
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FKFabrice K/BIDI
Fabrice K/BIDI
CDCédric Damour
Cédric Damour
Dominique GRONDINDominique GRONDIN
Dominique GRONDIN
Mickael HilairetMickael Hilairet
Mickael Hilairet
MBMichel Benne
Michel Benne
To deal with energy transition due to climate change and a rise in average global temperature, photovoltaic (PV) conversion appears to be a promising technology in sunny regions. However, PV production is directly linked with weather conditions and the day/night cycle, which makes it intermittent and random. Therefore, it makes sense to combine it with Energy Storage Systems (ESS) to ensure long-term energy availability for non-interconnected micro-grids. Among all technological solutions, electrolytic hydrogen produced by renewable energies seems an interesting candidate. In this context, this paper proposes a control strategy dedicated to hydrogen storage integration in micro-grids for a better use of PV production. The objective is to optimize the management of the micro-grid with proton exchange membrane Fuel Cell (FC), alkaline Electrolyzer (El), lithium-ion Batteries Energy Storage System (BESS) and PV, according to the system state and PV production intermittency. First, a control strategy based on a Distributed explicit Model Predictive Control (DeMPC) is developed to define current references for FCs, Els and batteries. Secondly, the performance of the control strategy is validated in simulation and confirmed on a Power-Hardware-in-the-Loop test bench.

18 February 2021 in IEEE Industrial Electronics Magazine
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Eric MonmassonEric Monmasson
Eric Monmasson
Mickael HilairetMickael Hilairet
Mickael Hilairet
Giovanni SpagnuoloGiovanni Spagnuolo
Giovanni Spagnuolo
MCMarcian Cirstea
Marcian Cirstea

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YBYoucef Benmessaoud
Youcef Benmessaoud
Frédéric DubasFrédéric Dubas
Frédéric Dubas
Mickael HilairetMickael Hilairet
Mickael Hilairet
In this paper, a hybrid model in Cartesian coordinates combining a two-dimensional (2-D) generic magnetic equivalent circuit (MEC) with a 2-D analytical model based on the Maxwell–Fourier method (i.e., the formal resolution of Maxwell’s equations by using the separation of variables method and the Fourier’s series) is developed. This model coupling has been applied to a U-cored static electromagnetic device. The main objective is to compute the magnetic field behavior in massive conductive parts (e.g., aluminum, magnets, copper, iron) considering the skin effect (i.e., with the eddy-current reaction field) and to predict the eddy-current losses. The magnetic field distribution for various models is validated with 2-D and three-dimensional (3-D) finite-element analysis (FEA). The study is also focused on the discretization influence of 2-D generic MEC on the eddy-current loss calculation in conductive regions. Experimental tests and 3-D FEA have been compared with the proposed approach on massive conductive parts in aluminum. For an operating point, the computation time is divided by ~4.6 with respect to 3-D FEA.

30 November 2013 in Electric Power Systems Research
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AAAntoni Arias
Antoni Arias
XRXavier Rain
Xavier Rain
Mickael HilairetMickael Hilairet
Mickael Hilairet

1 December 2015 in Journal of Fuel Cell Science and Technology
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MBMathieu Bressel
Mathieu Bressel
Belkacem Ould-BouamamaBelkacem Ould-Bouamama
Belkacem Ould-Bouamama
Daniel HisselDaniel Hissel
Daniel Hissel
Mickael HilairetMickael Hilairet
Mickael Hilairet
Fuel cell systems represent a promising alternative energy converter. In the past years, researches have been conducted for their modeling, control, and diagnosis. The model should accurately reproduce the behavior without being too complex. Due to the highly multiphysical interactions and coupling within the fuel cell, using a graphical representation for developing this model seems well suited. This paper presents a review of recent literature on graphical representation of proton exchange membrane fuel cell (PEMFC). Three main graphical representations are discussed: bond graph (BG), EMR, and equivalent electrical circuit. Their fields of application will be shown as well.