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Your search keyword '"Bourdin, Vincent"' showing total 3 results
Start Over Author "Bourdin, Vincent" Topic microgrids
3 results on '"Bourdin, Vincent"'

1. Using analogs ensembles and genetic algorithm to handle uncertainty in a microgrid

Author

Calderon-Obaldia, Fausto, Migan-Dubois, Anne, Badosa, Jordi, Bourdin, Vincent, Migan, Anne, Laboratoire Génie électrique et électronique de Paris (GeePs), CentraleSupélec-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Universidad de Costa Rica (UCR), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), and Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)

Subjects
Design, analogs ensemble, microgrids, energy management system, [SPI.NRJ]Engineering Sciences [physics]/Electric power, battery management, [PHYS.COND.CM-MS] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, Operation and Performance Subtopic 3: Operation, PV Systems and Storage -Modelling, [PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], genetic algorithm, Performance and Maintenance of PV Systems uncertainty, [SPI.NRJ] Engineering Sciences [physics]/Electric power
Abstract

International audience; In this work, a novel approach to deal with the PV forecast uncertainty during the energy management of a microgrid is presented. A novel adaptation of an analogs ensembles method allows to obtain a Sharpness indicator that is correlated with the PV forecast uncertainty. This indicator can be used to dynamically restrict the usable battery capacity when doing the day-ahead optimal scheduling using a genetic algorithm. This permits to deal with the PV uncertainty internally within the microgrid. This gives a total certainty to the grid operator about the power needs of the microgrid one day in advance. In this way, in a big scale, the uncertainty caused by a higher penetration of renewable energy sources in the national grid could be highly reduced. The main results of a real study-case are presented and the limitations of the method for its implementation are also discussed.

Published
2020

2. Estimation and integration of net demand uncertainty in a microgrid management

Author

Calderon-Obaldia, Fausto, Badosa, Jordi, Migan-Dubois, Anne, Bourdin, Vincent, Migan, Anne, Laboratoire Génie électrique et électronique de Paris (GeePs), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université - UFR d'Ingénierie (UFR 919), and Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Université Paris-Sud - Paris 11 (UP11)

Subjects
microgrids, energy management system, [SPI.NRJ]Engineering Sciences [physics]/Electric power, [PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], rolling horizon, uncertainty, CO2 emissions, Physics::Atmospheric and Oceanic Physics, [PHYS.COND.CM-MS] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci], [SPI.TRON] Engineering Sciences [physics]/Electronics, [SPI.TRON]Engineering Sciences [physics]/Electronics, [SPI.NRJ] Engineering Sciences [physics]/Electric power
Abstract

International audience; The subject addressed in the proposed paper is the estimation of uncertainty of deterministic forecasts of net demand, and a proposal to incorporate this information in the energy management system of small scale microgrids. This with the aim to decrease CO2 emissions. The information regarding the uncertainty of the forecasts is used for the scheduling of resources during the optimization stage of the energy management system. Results are compared with a base case deterministic and perfect forecast scenario to evaluate the usefulness of the method.

Published
2019

3. A Two-Step Energy Management Method Guided by Day-Ahead Quantile Solar Forecasts: Cross-Impacts on Four Services for Smart-Buildings.

Author

Calderon-Obaldia, Fausto, Badosa, Jordi, Migan-Dubois, Anne, and Bourdin, Vincent

Subjects
ENERGY management, BATTERY storage plants, BUILDING-integrated photovoltaic systems, MICROGRIDS, LOAD forecasting (Electric power systems), FORECASTING, ELECTRIC power distribution grids, ECOLOGICAL impact
Abstract

The research work hereby presented, emerges from the urge to answer the well-known question of how the uncertainty of intermittent renewable sources affects the performance of a microgrid and how could we deal with it. More specifically, we want to evaluate what could be the impact in performance of a microgrid that is intended to serve a smart-building (powered by photovoltaic panels and with battery energy storage), when the uncertainty of the photovoltaic-production forecasts is considered in the energy management process through the use of quantile forecasts. For this, several objectives (or services) are targeted based in a two-step (double-objective) energy management framework, which combines optimization-based and rule-based algorithms. The performance is evaluated based on some particular services, namely: energy cost, carbon footprint, grid peak power, and grid commitment; with the latter being a novel service proposed in the domain of microgrids. Simulations are performed whlie using data of a study-case microgrid (Drahi-Xnovation center, Ecole Polytechnique, France). The use of quantile forecasts (obtained with an analog-ensemble method) is tested as a mean to deal with (i.e., decrease) the uncertainty of the solar PV production. The proposed energy management framework is compared with basic reference strategies and the results show the superior performance of the former in almost all of the proposed services and forecasting scenarios. The fact of how optimizing for some services during the scheduling (i.e., grid commitment) can be highly detrimental for the performance of the non-targeted services, is an interesting finding of this work. The differences regarding the optimal forecasting eccentricity (i.e., the forecasting quantile) required when optimizing for the different services and seasons of the year is also considered an important conclusion of the study. This fact highlights the usefulness of the quantile forecasting approach in an energy management system, as a tool to deal with the intrinsic uncertainty of PV power production. [ABSTRACT FROM AUTHOR]

Published
2020
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