Faculty of Technical Sciences

Subject: Applied algorithms in smart grids (17.ESI081)

General information:
 
Category Theoretical-methodological
Scientific or art field Primenjeno softversko inženjerstvo
ECTS 6

The aim of the course is the detailed knowledge of the algorithms for solving optimization problems of software applications in power systems.

The outcome is competence to solve some optimization problems in the power system - smart grids.

Optimization problems of software applications in the power system: distributed data model, load balancing, workflow management, the optimal creation of power system network diagram, coloring of power objects for the client applications, etc. Static and dynamic algorithms - characteristics, criteria. Characteristics of graphs that describe the electric power network. Development of algorithms for these problems: graph algorithms (multilevel,...)., evolutionary algorithms, etc.

Teaching is conducted through the lectures and computer practice. Throughout the computer practice student is obliged to complete practically oriented tasks.

Authors Title Year Publisher Language
Vazirani, V.V. Approximation Algorithms 2001 Springer English
Cormen, T.H. et al. Introduction to Algorithms 2009 MIT Press, Cambridge English
Korte, B., Vygen, J. Combinatorial optimization: theory and algorithms 2008 Springer, Berlin English
Papadimitriou, C.H., Steiglitz, K. Combinatorial optimization: algorithms and complexity 1982 Prentice Hall, Englewood Cliffs English
Snyman, J.A. Practical Mathematical Optimization : An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms  2005 Springer-Verlag, New York English
Course activity Pre-examination Obligations Number of points
Test Yes Yes 10.00
Test Yes Yes 10.00
Test Yes Yes 10.00
Oral part of the exam No Yes 30.00
Project Yes Yes 30.00
Test Yes Yes 10.00
API Image

Prof. Čapko Darko

Full Professor

Lectures
API Image

Prof. Čapko Darko

Full Professor

Computational classes

Assistant - Master Pajić Zoran

Assistant - Master

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.