Posted by: | Bernard FORTZ |
Date: | 2016-04-20 |
Contact: | [email protected] |
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 :
[email protected] 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/