Subject: Optimization Methods in Power Engineering (12 - ESI043)


Basic Information

CategoryScientific-professional
Scientific or art field:Electrical and Computer Engineering
InterdisciplinaryNo
ECTS5
Course specification

Course is active from 01.10.2013..

The main course objective is acquiring knowledge on classic optimization methods, algorithms for their solution and possibilities of their application in power systems.
Knowledge on classic optimization methods in modelling and solving classic problems of transmission and distribution network.
Fundamentals in numeric analysis: functions, matrix algebraic, finding eigenvalues and eigenvectors. Solving systems of linear algebraic equations. Solving nonlinear algebraic equation: methods of correction of current solution, methods of bracketing and combined methods. Solving systems of nonlinear algebraic equations: Newton-Rapson and Gauss-Saidel methods. Optimization fundamentals: stating and classification of optimization problems. Graphic optimization methods. Linear and network programming: linear programming, primary and dual Simplex method, transport problem, assignation method, etc. Nonlinear programming: gradient and conjugate gradient methods, Lagrange method, Hook-Jeeves method, etc. Application of optimization methods in power systems.
Lectures - auditory
AuthorsNameYearPublisherLanguage
B.P.Demidovich, I.A.MaronComputation Mathematics1973Mir Publishers, MoscowEnglish
V.Levi, D.BekutPrimena računarskih metoda u elektroenergetici1997Stylos, Novi SadSerbian language
S.S.RaoEngineering Optimization – Theory and Practice2009John Wiley & Sons, New York, USAEnglish
A.D.Belegundu, T.R.ChandrupatlaOptimization Concepts and Applilcations in Engineering2011Cambridge, University PressEnglish
Course activity Pre-examination ObligationsNumber of points
TestYesYes10.00
Written part of the exam - tasks and theoryNoYes35.00
Term paperYesYes20.00
Oral part of the examNoYes35.00
Name and surnameForm of classes
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Pavlica Vladimir
Asistent sa doktoratom

Lectures
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Švenda Goran
Full Professor

Lectures
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Kovač Tomislav
Assistant - Master

Practical classes
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Dalčeković Nikola
Assistant - Master

Practical classes
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Dević Saša
Assistant - Master

Practical classes