A Postdoc Position available at INRIA Lille (INOCS Team)

Posted by: Bernard FORTZ
Date:2016-04-20
Contact:bernard.fortz@ulb.ac.be

Dear all,

 

Please find below an announcement for a postdoc position in Lille. Deadline is really tight, but don't hesitate to promote it to potentially (good) interested candidates.

 

Kind regards,

Bernard

 

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A POST-DOC POSITION IN OPERATIONS RESEARCH IS AVAILABLE

AT INRIA LILLE (FRANCE) IN THE INOCS TEAM :

 

HTTPS://TEAM.INRIA.FR/INOCS/ [1]

 

Title of the proposal: NEW MODELS AND METHODS FOR DEMAND RESPONSE IN A

SMART GRID CONTEXT

 

 

 

Supervisor of the Post-doc: Luce Brotcorne, Miguel F. Anjos (INRIA

International Chair), Martine Labbé.

 

Keywords: Smart Grid, Optimization, Bilevel problems.

 

Do not hesitate to send your cv and contact Luce Brotcorne :

luce.brotcorne@inria.fr before april 21 2016.

 

_JOB OFFER DESCRIPTION_

 

CONTEXT:

 

Electricity is a critical source of energy for our society. Due to the

fundamental importance of electricity, economic growth is inevitably

accompanied by a corresponding growth in the demand for electricity.

However, investment in the power system infrastructure almost invariably

lags this growth in demand, resulting in a reduction (and sometimes near

absence) of spare supply, and hence a tightly constrained operating

context. The operating time period of highest power consumption are

called peaks and represent a major concern for the system operator.

 

A smart grid is the combination of a traditional electrical power

production, transmission and distribution system with two-flows of

information and of energy between suppliers and consumers. This

combination is expected to deliver energy savings, cost reductions, and

increased reliability and security. Nevertheless it induces new

challenges to operate the resulting system. These include using the

power grid already in place more efficiently, integrating renewable

energy sources such as wind and solar power generation, managing the

flows of power and of information, and integrating loads as active

participants in the grid operations.

 

A central challenge in the full implementation of the smart grid is the

effective integration of the customers as active participants in the

grid, a process generally referred to as demand response. To capture

this non cooperative sequential decision making process, we use a

leader-follower approach. In its simplest form, this game-theoretic

framework includes two players, namely the leader and the follower. The

leader intrinsically integrates the reaction of the follower in its

optimization process. The resulting model is a bilevel optimization

problem.

 

GOAL:

 

The goal of the project is i) to develop new bilevel optimization models

to represent demand response in a smart grid energy management context,

ii) to design and test new algorithms to solve the problem.

 

More precisely the objectives consists in extending the models propose

by Afsar et al. [1] by taking into account the fact that the customers

may decide to adjust their consumption or decline to consume and by

integrating renewable energy sources. The algorithms developed to solve

the problem (exact methods, or matheuristics) will be sharply based on

the structure of the problem.

 

_SKILLS AND PROFILE_

 

Good knowledge in mathematical programming, combinatorial optimization,

algorithmic.

 

Ability in programming in C++ or java. Knowledge of optimization solvers

such as CPLEX or GUROBI is an add.

 

 

 

Links:

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[1] https://team.inria.fr/inocs/