Enseignant-Chercheur à l'École Supérieure d'Ingénieurs Léonard de Vinci (ESILV), je suis en charge de différents cours dans le domaine des Systèmes Embarqués, IoT et WebServices ou encore sur les Systèmes Parallèles.
Alemayehu Addisu; Laurent George; Pierre Courbin; Vincent Sciandra
Smoothing of renewable energy generation using Gaussianbased method with power constraints Article de journal
Dans: Energy Procedia, vol. 134, p. 171-180, 2017.
@article{addisu_1122,
title = {Smoothing of renewable energy generation using Gaussianbased method with power constraints},
author = {Alemayehu Addisu and Laurent George and Pierre Courbin and Vincent Sciandra},
url = {https://www.sciencedirect.com/science/article/pii/S1876610217346866},
year = {2017},
date = {2017-10-01},
journal = {Energy Procedia},
volume = {134},
pages = {171-180},
abstract = {Integration of renewable energy resources to a power system can cause power fluctuations due to their intermittent nature. One way to reduce these effects is to smooth power production using energy storage systems (ESS). A typical approach to tackle the intermittency problem is to use ESS with traditional moving average method. Although it is easy to implement, the moving average method is affected by peaks and troughs during power generations which results in bigger battery sizes. In this paper, we propose a Gaussian-based smoothing algorithm that solves the pitfalls of the moving average methods. Besides smoothing, in big solar plants and wind farms such as in La Réunion island, the grid operator asks energy providers to provide power with a minimum difference from one time to another. We add this constraint on top of the smoothing problem. Then, we determine a minimum possible size of ESS so that the smoothed output power is maintained during the day-ahead forecast period. To test our approach, we use a day-ahead forecast and real data of an industrial site located in France. Bench-marking the moving average methods, we compare performances of the proposed algorithm using two metrics. Based on our simulation results, we obtained at least 34% improvement in smoothness measure and at least 19% reduced ESS size by using the proposed algorithm},
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Alemayehu Addisu; Laurent George; Pierre Courbin; Vincent Sciandra
Gaussian-Based Smoothing of Wind and Solar Power Productions Using Batteries Article de journal
Dans: International Journal of Mechanical Engineering and Robotics Research, vol. 6, no. 2, p. 154-159, 2017.
@article{addisu_1121,
title = {Gaussian-Based Smoothing of Wind and Solar Power Productions Using Batteries},
author = {Alemayehu Addisu and Laurent George and Pierre Courbin and Vincent Sciandra},
url = {http://www.ijmerr.com/index.php?m=content&c=index&a=show&catid=147&id=807},
year = {2017},
date = {2017-03-01},
journal = {International Journal of Mechanical Engineering and Robotics Research},
volume = {6},
number = {2},
pages = {154-159},
abstract = {Intermittent nature of Distributed Energy Resources (DER) such as solar and wind cause significant power fluctuations and integrating them to a power systems requires control mechanisms to reduce fluctuations. One way to control the effect of fluctuation is to use Energy Storage Systems (ESS) for smoothing out their power productions. A typical method to attain this goal is to use ESS with classical moving average approaches. However, these methods are affected by peaks and troughs in power production due to cloud passing and wind gust effects on solar panels and wind turbines, respectively. In this paper, we propose a Gaussian-based smoothing method to alleviate pitfalls of moving average methods to smooth out forecasted values of solar and wind powers. Then, we determine a minimum ESS size required to maintain a smoothed power curve for a day-ahead period. From our experiments, the proposed algorithm requires smaller ESS size than the classical approaches.},
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}
Alemayehu Addisu; Laurent George; Hakim Badis; Pierre Courbin
Dans: 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm 2017), p. p558, Dresden, Germany, 2017, ISBN: ISBN : 9781538624012.
@inproceedings{addisu_643,
title = {An efficient production scheduling based on queuing theory in systems with synchronous part transfer during a demand response event},
author = {Alemayehu Addisu and Laurent George and Hakim Badis and Pierre Courbin},
url = {http://www.proceedings.com/38966.html},
issn = {ISBN : 9781538624012},
year = {2017},
date = {2017-10-01},
booktitle = {2017 IEEE International Conference on Smart Grid Communications (SmartGridComm 2017)},
pages = {p558},
address = {Dresden, Germany},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Alemayehu Addisu; Laurent George; Hakim Badis; Pierre Courbin
A Mixed Criticality Approach for Industrial Smart Energy Management and Demand Response Inproceedings
Dans: 8th International Real-Time Scheduling Open Problems Seminar, Dubrovnik, Croatia, 2017.
@inproceedings{addisu_642,
title = {A Mixed Criticality Approach for Industrial Smart Energy Management and Demand Response},
author = {Alemayehu Addisu and Laurent George and Hakim Badis and Pierre Courbin},
url = {http://www.cister.isep.ipp.pt/rtsops2017/},
year = {2017},
date = {2017-06-01},
booktitle = {8th International Real-Time Scheduling Open Problems Seminar},
address = {Dubrovnik, Croatia},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Alemayehu Addisu; Laurent George; Pierre Courbin; Vincent Sciandra
Modelling of Distributed Energy Resources in Industrial Context Using Service Curves of Network Calculus Inproceedings
Dans: Proceedings of the International Conference on Computational Science and Computational Intelligence (CSCI), p. 330-335, Las Vegas, USA, 2015, ISBN: ISBN-13: 978-1-4673-9795-7.
@inproceedings{addisu_385,
title = {Modelling of Distributed Energy Resources in Industrial Context Using Service Curves of Network Calculus},
author = {Alemayehu Addisu and Laurent George and Pierre Courbin and Vincent Sciandra},
url = {https://ieeexplore.ieee.org/document/7424111},
issn = {ISBN-13: 978-1-4673-9795-7},
year = {2015},
date = {2015-12-01},
booktitle = {Proceedings of the International Conference on Computational Science and Computational Intelligence (CSCI)},
pages = {330-335},
address = {Las Vegas, USA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Pierre Courbin
Défis climatiques : le numérique, une réponse à surveiller ? Divers
CGE, 2015.
@misc{courbin_662,
title = {Défis climatiques : le numérique, une réponse à surveiller ?},
author = {Pierre Courbin},
url = {https://www.cge.asso.fr/liste-actualites/defis-climatiques-le-numerique-une-reponse-a-surveiller/},
year = {2015},
date = {2015-12-01},
howpublished = {CGE},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Pierre Courbin
Quelle place pour les ingénieurs ? Divers
Monde des Grandes Ecoles, 2015.
@misc{courbin_663,
title = {Quelle place pour les ingénieurs ?},
author = {Pierre Courbin},
url = {http://www.mondedesgrandesecoles.fr/quelle-place-pour-les-ingenieurs/},
year = {2015},
date = {2015-05-01},
howpublished = {Monde des Grandes Ecoles},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Pierre Courbin; Pascal Clain
La lumière : un prisme pour penser nos villes techniquement et socialement intelligentes Divers
CGE, 2015.
@misc{courbin_660,
title = {La lumière : un prisme pour penser nos villes techniquement et socialement intelligentes},
author = {Pierre Courbin and Pascal Clain},
url = {https://www.cge.asso.fr/liste-actualites/la-lumiere-un-prisme-pour-penser-nos-villes-techniquement-et-socialement-intelligentes/},
year = {2015},
date = {2015-01-01},
howpublished = {CGE},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Pierre Courbin
Quels ingénieurs pour conduire la transition énergétique, enjeu planétaire de demain ? Divers
Monde des Grandes Ecoles, 2015.
@misc{courbin_664,
title = {Quels ingénieurs pour conduire la transition énergétique, enjeu planétaire de demain ?},
author = {Pierre Courbin},
url = {http://www.mondedesgrandesecoles.fr/ils-devront-surtout-penser-de-facon-transverse/},
year = {2015},
date = {2015-01-01},
volume = {66},
howpublished = {Monde des Grandes Ecoles},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
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