Skip to content
syllabus
DENSYS Curriculum
Home
Foreword
How the program is structured
Year 1
Year 2
Share
Explore

cor
Optimal Design of a Local Energy Network

Teaching Unit (for year 1): Smart and flexible energy management


facetoface

Face-to-face time

⁠
16
⁠
hours

studentworkload

Student workload

⁠
25
⁠
hours


ects

ECTS

⁠
1.5
⁠
⁠


Responsible Teacher

Julien Font_300ppp.jpg
Julien FONCHASTAGNER
⁠

Aims of the teaching

This course aims at introducing the fundamental concepts of how sizing and optimizing a local energy network : formulation of an inverse problem design (i.e. optimization problem), resolution of such problems.

Intended Learning outcomes (measured by the assessment)

At the end of the teaching module, the student should:
Demonstrate knowledge on how to formulate the sizing of a local energy network into an optimization problem;
Demonstrate ability to solve corresponding problems thanks to well-chosen optimization algorithms.

Learning activities and approach

eleaning

E-learning (online)

-


read

Lectures (onsite)

2h
Lectures

tutorial

Tutorials (onsite)

18h
Lab exercice

Useful information

Location

FST / DENSYS ROOM

Practical work equipment

Practice on computer, based on a microproject. Implementation and resolution of a complete problem using MATLAB (and its Global Optimization Toolbox).

Other information

-

Assessment method

Project outcomes 100%

Related literature

Power Electronics in Renewable Energy Systems and Smart Grid: Technology and Applications by Bimal K. Bose (Wiley), 2019.
Introduction to nonlinear and global optimization by E. M. T. Hendrix and B. G. Toth (Springer), New York, 2010.

Want to print your doc?
This is not the way.
Try clicking the ⋯ next to your doc name or using a keyboard shortcut (
CtrlP
) instead.