Optimization Methods in Power Engineering

Последна измена: December 4, 2019

Course: Optimization Methods in Power Engineering

Code3ФЕИТ04012

ECTS points: 6 ECTS

Number of classes per week: 3+0+0+3

Lecturer: Assoc. Prof. Dr. Dimitar Dimitrov

Course Goals (acquired competencies): Obtaining knowledge for approach to solve problems in the power engineering using optimization methods .

Course Syllabus: Example problems in power engineering which need optimization: efficiency and consumption functions, optimization of hybrid systems etc. Classification and defining representation of optimization problems. Objective function and constraints. Classical methods for optimization used in power engineering: gradient methods, linear and non-linear programming. Multi-variable scalar functions in form of equations and non-equations, with and without constraints, used for power engineering, and their gradients. Global extremes search techniques: genetic algorithms, simulated annealing and other natural-inspired methods. Examples with optimization and application of Matlab Optimization Toolbox. Sensitivity analysis.

Literature:

Required Literature

No.

Author

Title

Publisher

Year

1

F. C. KnopfAnalysis and  Optimization of Process  and Energy SystemsJ.Wiley&Sons2012

2

J. ZhuOptimization of Power System OperationIEEE Press, J.Wiley&Sons2009

3

K. Y. Lee, M. A. El-SharkawiModern Heuristic Optimization Techniques: Theory and Applications to Power SystemsJ.Wiley&Sons2008

Additional Literature

No.

Author

Title

Publisher

Year

1

A. Ravindran, K. M. Ragsdell, G. V. ReklaitisEngineering Optimization: Methods and ApplicationsJ.Wiley&Sons2006