ANNONCE DE SOUTENANCE DE THESE DE DOCTORAT
\nM. Nicolas GENSOLLEN
\nD\u00e9partement RST – T\u00e9l\u00e9com SudParis – Laboratoire SAMOVAR – Ecole doctorale Informatique, T\u00e9l\u00e9communications et Electronique<\/p>\n
Quand: Elle aura lieu le 07\/10\/2016 \u00e0 14h00
\nO\u00f9: \u00e0 UPMC, Tour 24-25, Salle 405, 4 place Jussieu 75005 PARIS.<\/p>\n
Cette th\u00e8se a \u00e9t\u00e9 r\u00e9alis\u00e9e sous la direction du Professeur Michel MAROT et du professeur Monique BECKER. <\/p>\n
Le jury sera compos\u00e9 de :<\/p>\n
Directeurs de th\u00e8se<\/em><\/p>\n MAROT Michel, Professeur \u00e0 T\u00e9l\u00e9com SudParis<\/p>\n BECKER Monique, Professeur \u00e0 T\u00e9l\u00e9com SudParis<\/p>\n Rapporteurs<\/em> Examinateurs<\/em><\/p>\n DAREMA Frederica, Directeur de la recherche \u00e0 AFSOR<\/p>\n LATAPY Matthieu, Professeur \u00e0 UPMC<\/p>\n PIETRASZ Slawomir, Ing\u00e9nieur de recherche \u00e0 GDF<\/p>\n Encadrant<\/em><\/p>\n GAUTHIER Vincent Ma\u00eetre de conf\u00e9rences \u00e0 T\u00e9l\u00e9com SudParis<\/p>\n R\u00e9sum\u00e9 de th\u00e8se :<\/strong><\/p>\n Cette th\u00e8se est consacr\u00e9e \u00e0 l’\u00e9tude d\u2019agents appel\u00e9s prosumers parce qu\u2019ils peuvent, \u00e0 partir d\u2019\u00e9nergies renouvelables, \u00e0 la fois produire et consommer de l\u2019\u00e9lectricit\u00e9. Si leurs productions exc\u00e8dent leurs propres besoins, ceux-ci cherchent \u00e0 vendre leur surplus sur des march\u00e9s de l\u2019\u00e9lectricit\u00e9. Nous proposons de mod\u00e9liser ces prosumers \u00e0 partir de donn\u00e9es m\u00e9t\u00e9orologiques, ce qui nous a permit de mettre en \u00e9vidence des corr\u00e9lations spatio-temporelles non triviales, d’une grande importance pour les agr\u00e9gateurs qui forment des portefeuilles d\u2019\u00e9quipements afin de vendre des services \u00e0 l’op\u00e9rateur du r\u00e9seau. Comme un agr\u00e9gateur est li\u00e9 par un contrat avec l’op\u00e9rateur, il peut faire l’objet de sanctions s\u2019il ne remplit pas son r\u00f4le. Nous montrons que ces corr\u00e9lations impactent la stabilit\u00e9 des agr\u00e9gats, et donc le risque encouru par les agr\u00e9gateurs. Nous proposons un algorithme minimisant le risque d’un ensemble d\u2019agr\u00e9gations, tout en maximisant le gain attendu. Abstract<\/strong><\/p>\n This thesis is devoted to the study of agents called prosumers because they can, from renewable, both produce and consume electricity. If their production exceeds their own needs, they are looking to sell their surplus on electricity markets. We propose to model these prosumers from meteorological data, which has allowed us to highlight non trivial spatial and temporal correlations. This is of great importance for aggregators that form portfolios of equipments to sell services to the network operator. As an aggregator is bound by a contract with the operator, it can be subject to penalties if it does not fulfill its role. We show that these correlations impact the stability of aggregates, and therefore the risk taken by the aggregators. We propose an algorithm minimizing the risk of the aggregations, while maximizing the expected gain. ANNONCE DE SOUTENANCE DE THESE DE DOCTORAT M. Nicolas GENSOLLEN D\u00e9partement RST – T\u00e9l\u00e9com SudParis – Laboratoire SAMOVAR – Ecole doctorale Informatique, T\u00e9l\u00e9communications et Electronique Quand: Elle aura lieu le 07\/10\/2016 \u00e0 14h00 O\u00f9: \u00e0 UPMC, Tour 24-25, Salle 405, 4 place Jussieu 75005 PARIS. Cette th\u00e8se a \u00e9t\u00e9 r\u00e9alis\u00e9e sous la direction du Professeur 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\nBEYLOT Andr\u00e9-Luc Professeur \u00e0 ENSEEIHT
\nCAPUTO Jean-Guy Professeur \u00e0 INSA Rouen<\/p>\n
\nLa mise en place de dispositifs de stockage dans un r\u00e9seau o\u00f9 les g\u00e9n\u00e9rateurs et les charges sont dynamiques et stochastiques est complexe. Nous proposons de r\u00e9pondre \u00e0 cette question gr\u00e2ce \u00e0 la th\u00e9orie du contr\u00f4le. Nous mod\u00e9lisons le syst\u00e8me \u00e9lectrique par un r\u00e9seau d’oscillateurs coupl\u00e9s, dont la dynamique des angles de phase est une approximation de la dynamique r\u00e9elle du syst\u00e8me. Le but est de trouver le sous-ensemble des n\u0153uds du graphe qui, lors d’une perturbation du syst\u00e8me, permet le retour \u00e0 l’\u00e9quilibre si les bons signaux sont inject\u00e9s, et ceci avec une \u00e9nergie minimum. Nous proposons un algorithme pour trouver un placement proche de l’optimum permettant de minimiser l’\u00e9nergie moyenne de contr\u00f4le.<\/p>\n
\nThe placement of storage devices in a network where generators and loads are stochastic and not fixed is complex. We propose to answer this question with control theory. We model the electrical system as a network of coupled oscillators, whose phase angles dynamics is an approximation of the actual dynamics of the system. The goal is to find the subset of nodes in the graph that, during a disturbance of the system, allows returning to equilibrium if the right signals are injected and this with a minimum energy. We propose an algorithm to find a near optimal placement to minimize the average energy control.<\/p>\n","protected":false},"excerpt":{"rendered":"