Séminaire de Mme Phan Huyen Chau, doctorante MICA et G-SCOP. Date : jeudi 8 mars 2012, 14h00. Lieu : salle "seminar room" 9eme étage B1, Institut MICA, Hanoi University of Science and Technology

Intervenant :
Mme PHAN Huyen Chau, doctorante en co-tutelle entre l'Institut MICA (Hanoi) et le laboratoire G-SCOP (Grenoble)

Date : Jeudi 8 mars, 14h00
Lieu : salle "seminar room", bâtiment B1, 9ème étage, Institut MICA, Hanoi University of Science and Technology
Interprète traducteur : le séminaire sera présenté en anglais

The reconfiguration of power networks, especially distribution networks under breakdown conditions is determined by various off-line computations. The currently applied practices, however, rely greatly on experience of operators and immutability of network topology. Such methods can easily fail when some exploitation constraints cannot be respected. To solve these problems, the need to develop an effective and reactive tool is mandatory.

Classic approaches generate all possible configurations and choose the best for one or more criteria set (operations, losses, margins, costs, etc.). Moreover, most of modeling in power system relates to restoration plan or to analysis the power grid for example: the operation of generator, load, transformer…

However, these approaches expose some limitations such as computation time restriction, computation complexity, sometimes far from the global optimal point or not very adapted to keep a track on data evolution and so isolated zone after the fault.

It is the reason why we propose to develop one dynamic reconfiguration method based not only on a discrete representation of the distribution grid, but also on a specific algorithm able to generate a reconfiguration sequence of the grid. The proposed approach proposes a method for designing a Petri net control law (sequence of discrete decisions) for a grid considered as a discrete event system modeled by a Petri net. The control law consists only of places and arcs, and will be computed based on the concept of Petri net place invariants..

The best research in computer science in Vietnam. La meilleure recherche en informatique au Vietnam.