Individual information
Benoit DURILLON | ||
Titre | Docteur | |
Equipe | Réseaux | |
Adresse | JUNIA Ecole des Hautes Etudes d'Ingénieur 13, rue de Toul 59046 LILLE CEDEX | |
benoit.durillon@yncrea.fr | ||
Publications |
International Journals |
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[1] Coalitional Game-Based Gain Generation and Distribution for Collective Self-Consumption in an Energy Community Mathematics and Computers in Simulation, Vol. 225, pages. 129-147, 04/2024, URL, Abstract BOSSU Adrien, DURILLON Benoit, DAVIGNY Arnaud, BARRY Hervé, ROBYNS Benoît, BELAÏD Fateh, SAUDEMONT Christophe |
Climate change is requiring changes in energy use. The integration of renewable energy sources
into the energy mix is a viable solution for electricity generation, but their intermittence forces
us to imagine new ways to consume and distribute electricity. Thus, new economic models and
new organizations have to be established. Energy communities are a recent legal solution to
share renewable energy among local actors. These structures facilitate the set-up of collective
self-consumption operations. Collective self-consumption is an interesting tool to increase local
renewable energy consumption and limit energy losses on the distribution grid. Consequently,
energy communities are pursuing a dual objective: reducing energy bills and the environmental
footprint of the participants. However, the distribution of gains generated through collective
self-consumption is one of the main obstacles to the implementation of energy communities. An
interesting possibility comes from game theory, especially from cooperative games, as solutions
concepts already exist to solve this kind of problem.
In this paper, a payoff distribution is proposed through a collaborative game. The aim of
the study is to explore ways to distribute gains generated by collective self consumptions on
individual self consumptions. These gains are 8% on the total energy bill and 25% on the
self-consumption rate, assuming a collective objective based on the self-consumption rate and
individual objectives based on the price of energy. In order to distribute the financial gains,
two major concepts in cooperative game theory are studied in this paper: the Shapley Value
and the Nucleolus. The advantages and drawbacks of these concepts in an energy community
context are identified, as these concepts are based on two different philosophies: The properties
of individual fairness of the Shapley Value and collective fairness of the Nucleolus for energy
management are therefore discussed. Furthermore, a methodology is proposed to enable a fairer
distribution of payoffs according to specific energy management parameters, such as efficiency
and flexibility. |
[2] Consumers' Sensitivities and Preferences Modelling and Integration in a Decentralized Two Levels Energy Supervisor Mathematics and Computers in Simulation, Vol. 183, pages. 142-157, 04/2021 DURILLON Benoit, SALOMEZ Florentin, DAVIGNY Arnaud, KAZMIERZCAK Sabine, BARRY Hervé, SAUDEMONT Christophe, ROBYNS Benoît |
[3] Decentralized Neighbourhood Energy Management Considering Residential Profiles and Welfare for Grid Load Smoothing Sustainable Cities and Society, Vol. 63, 08/2020 DURILLON Benoit, DAVIGNY Arnaud, KAZMIERZCAK Sabine, BARRY Hervé, SAUDEMONT Christophe, ROBYNS Benoît |
International Conferences and Symposiums |
[1] Coalitional Game-Based Gain Generation and Distribution for Collective Self Consumption in an Energy Community Conférence IMACS 2023, 11 -15 SEPTEMBER, 2023, ROMA, University La Sapienza, Italie, 09/2023, Abstract BOSSU Adrien, DURILLON Benoit, DAVIGNY Arnaud, BARRY Hervé, KAZMIERZCAK Sabine, ROBYNS Benoît, BELAÏD Fateh, SAUDEMONT Christophe |
Climate change is requiring changes in energy use. The integration of renewable
energy sources into the energy mix is a viable solution for electricity
generation, but their intermittence forces us to imagine new ways to consum
and to distribute electricity. Thus, new economic models and new organizations
have to be established. Energy communities are a recent legal solution
to share renewable energy among local actors. Joining a community can allow
participants to reduce their energy bill and environmental footprint. However
the distribution of gains generated through collective self consumption is one
of the main obstacles. An interesting possibility comes from the game theory,
especially from cooperative game, as solutions concepts already exist to solve
this kind of problem.
In this paper, a payoff distribution is proposed through a collaborative game.
Two parrallel optimizations are established in order to compare the benefits of
collective self consumption to individual self consumption. It is shown that
the coordination of flexible devices to maximize the collective self-consumption
rate generates gains on the electricity bill and environmental footprint. The
aim of the study is then to explore ways to distribute these gains. Two major
concepts in cooperative game theory are studied in this paper, the Shapley
Value and the Nucleolus. The advantages and drawbacks of these concepts in
an energy community context will be established. A methodology is proposed to
permit a fairer distribution of payoffs according to specific energy management
parameters such as efficiency and flexibility. |
[2] Study of electrical consumption flexibility offered by HVAC system based on rooms thermal modelling - tertiary building case study 27th International Conference on Electricity Distribution (CIRED), Rome, 12-15 June 2023, Italie, 06/2023, URL SHMAYSANI Mhamad, ALMAKSOUR Khaled, DURILLON Benoit, SAUDEMONT Christophe |
[3] Integration of environmental and economical impacts of electricity consumption in an energy community based on coalition game 27th International Conference on Electricity Distribution (CIRED), Rome, 12-15 June 2023, Italie., N°. 669, 06/2023, Abstract BOSSU Adrien, DURILLON Benoit, DAVIGNY Arnaud, BARRY Hervé, KAZMIERZCAK Sabine, SAUDEMONT Christophe, BELAÏD Fateh, ROBYNS Benoît |
Environmental issues are leading to rethink the way energy issues are approached. The integration of renewables energies into the energy mix is one of the long-term solutions for electricity production. Their intermittency forces utility companies to reconsider the way energy is consumed. Indeed, consumers will not remain regarding the electricity networks but will be asked to participate in the daily management of electricity. Several solutions are emerging around smart grids and demand side management, but they are mainly focused on technological solutions. Human behaviors are rarely considered in energy management algorithms. Similarly, the environmental impacts of the whole system are rarely quantified.
Recently, legal incentives such as energy communities have appeared. These aim to include different actors to participate in economic operations regarding energy while reducing their environmental impacts. In this context, energy sharing, and self-consumption become at the heart of energy issues.
In this paper, we propose to integrate hypotheses from the social and human sciences into an energy management of a community. Its environmental impact will also be integrated into this management through calculations of carbon emissions based on LCA methods. The gain/loss of stakeholders if they participate in a collective self-consumption operation regarding their sensibilities on energy consumptions will be discussed. |
[4] Demand Response Methodology Applied on Three-Axis Constructed Consumers Profiles 2nd International Conference on Smart Energy Systems and Technologies (SEST). 9-11 septembre 2019. Porto, Portugal., 09/2019, Abstract DURILLON Benoit, DAVIGNY Arnaud, KAZMIERZCAK Sabine, BARRY Hervé, SAUDEMONT Christophe, ROBYNS Benoît |
The subject addressed in this paper concern the involvement of stakeholders in the management of the energy in a smart-grid. Demand side management (DSM) is indeed of particular interest to adjust the load, relying on the participation of stakeholders on a daily basis, or at least during peak hours. We discuss therefore a new methodology aiming to extract the flexibility of the stakeholders in a smart grid, by including their profiles and therefore there sensitivities and objectives in the optimisation process of the energy balance. The contribution of this paper is therefore twofold: Firstly, by the development of a methodology to understand and segment real consumer profiles for energy management, and secondly by studying and testing how each considered stakeholder can increase his satisfaction in a day ahead Demand Response program. |
[5] Integration of Consumers’ Sensitivities and Preferences in Demand Side Management 13th international conference of IMACS TC1 Committee (ELECTRIMACS). 20-23 mai 2019. Salerne, Italie., 05/2019, Abstract DURILLON Benoit, SALOMEZ Florentin, DAVIGNY Arnaud, KAZMIERZCAK Sabine, BARRY Hervé, SAUDEMONT Christophe, ROBYNS Benoît |
To address the new challenges arising from the higher penetration of renewable energy in electrical grid, Demand Side Management (DSM) and Demand Response (DR) aim to involve the residential as well as industrial consumers in the grid equilibrium. Ensuring benefits for both utility and users requires the consumers sensitivities to be understood and then included in the Energy Management System (EMS). For this purpose, the cost is the predominant and most often only factor taken into account in the literature, although in the residential sector other concerns influencing electricity consumption behaviour have been observed. This paper presents an EMS based on a neighbourhood of consumers modelled at the level of their appliance and incorporating 6 consumption profiles along three sensitivities: cost, environment and appliances shifting comfort. A multi-agent optimization is lead by a central aggregator but performed locally by the household using multi-pass Dynamic Programming (DP), thus ensuring privacy protection for the stakeholders. |
[6] Considering Various Consummers Profiles in a Smart Grid International Conference on Electricity Distribution CIRED, 07-08 juin 2018. Ljubljana, Slovénie, 06/2018 DURILLON Benoit, DAVIGNY Arnaud, KAZMIERZCAK Sabine, BARRY Hervé, SAUDEMONT Christophe, ROBYNS Benoît |
[7] Demand Side Management Considering Consumers Sensitivities Using a Game Theory approach 5th IEEE International Energy Conference (ENERGYCON). 03-07 juin 2018. Limassol, Chypre., 06/2018, Abstract DURILLON Benoit, DAVIGNY Arnaud, KAZMIERZCAK Sabine, BARRY Hervé, SAUDEMONT Christophe, ROBYNS Benoît |
The challenges raised by new energy technologies, clean energy sources and energy efficiency led us to reconsider the way we manage energy in electricity grids and the way the stakeholders are involved. To tackle these issues, the focus should emphasize not solely the technical side, but also the sociological and economic issues related to the development
of these new energy solutions. This paper presents an Energy Management System (EMS) addressing the following question: how to take into account, from the grid point of view, a stakeholder willing to be involved in the grid ? Involvement-profiles amongst stakeholders, particularly the households, in terms of electricity consumption/production can be defined by a socio-economic approach, and we chose to use a potential game approach from the game theory to integrate those profiles and imagine the possible interactions among them, incorporating their sensitivities and objectives. |
National Conferences and Symposiums |
[1] Un démonstrateur WSN pour les Smart Grids 8èmes Rencontres Francophones sur la Conception de protocoles, l'évaluation de performances et l'expérimentation de Réseaux de communication (CORES), 05/2023, Abstract NASSAR Jad, DURILLON Benoit, GOUVY Nicolas, ABDEL KHALEK Farah, LEFEVERE Vincent, GOSSELIN Flovic |
L'intégration croissante de sources d'énergie renouvelable (e.g. panneaux photovoltaiques, éoliennes) et l'automatisation ont transformé les réseaux électriques traditionnels en Smart Grids.
Cette évolution vers un réseau électrique plus intelligent nécessite de pouvoir transmettre en temps réel un maximum de données sur l'usage du réseau.
Un réseau de capteurs sans fil (WSN) disséminés à travers le réseau électrique est une solution prometteuse vu les coûts réduits et la facilité du déploiement de tels réseaux.
Cependant, surveiller l'ensemble du réseau avec des dispositifs contraints en mémoire et énergie est un défi à considérer. Dans cet article, nous présentons un démonstrateur WSN pour les Smart Grids dans le cadre du projet européen Ebalance-plus. Il consiste en des nœuds de capteur Raspberry Pi et Zolertia Re-Mote qui seront déployés dans les bâtiments de l'Université catholique et Junia à Lille. Ainsi, il fournira un démonstrateur WSN dans un environnement Smart Grid à échelle réelle. |
PhD Thesis |
[1] ModAICSS - Modélisation de l’acceptation et de l’implication de producteurs et consommateurs d’énergie électrique en
vue d’une stratégie de supervision énergétique multi-acteurs Thèse, 12/2019, URL, Abstract DURILLON Benoit |
Les défis environnementaux auxquels nous sommes confrontés impliquent de consommer moins, plus efficacement, et de produire de manière moins impactante. D'un point de vue électrique, la gestion d'énergie dans les réseaux est un des points cruciaux pour atteindre la meilleure efficacité possible tout en augmentant la pénétration d'énergies renouvelables, garante d'une production moins polluante. L'ensemble des acteurs du réseau doit donc prendre part à l'équilibre du réseau, tout en ayant leurs sensibilités et contraintes respectées. Cette prise en compte des acteurs est en effet un gage d'acceptation et d'implication de ceux-ci.
Ce travail se veut exploratoire, par la définition et la compréhension des acteurs du réseau électrique dans un premier temps, puis par la réflexion sur l'intégration de leurs profils dans un superviseur énergétique. Le génie électrique seul ne permettant pas de répondre entièrement à cette problématique, l'apport des sciences humaines et sociales a été sollicité. Cette thèse a donc un fort caractère interdisciplinaire, illustré par la coopération avec des chercheur·es en sociologie et économie impliqué·es dans son encadrement.
Le résultat de ces recherches est une méthodologie en 3 étapes, applicable à tous les acteurs du réseau. La première étape est la définition des profils d'acteurs. La deuxième est la première brique du superviseur énergétique, optimisant les productions/consommations la veille pour le lendemain. Enfin, la troisième étape est la partie temps réel du superviseur, ajustant au cours de la journée les productions/consommations. Cette thèse se décompose en deux parties distinctes: d'un côté la méthodologie présentant le détail des étapes et des approches choisies, et de l'autre l'application de cette méthode à un cas d'étude résidentiel |
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