Course: Optimization Methods in Power Engineering
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.
|F. C. Knopf||Analysis and Optimization of Process and Energy Systems||J.Wiley&Sons||2012|
|J. Zhu||Optimization of Power System Operation||IEEE Press, J.Wiley&Sons||2009|
|K. Y. Lee, M. A. El-Sharkawi||Modern Heuristic Optimization Techniques: Theory and Applications to Power Systems||J.Wiley&Sons||2008|
|A. Ravindran, K. M. Ragsdell, G. V. Reklaitis||Engineering Optimization: Methods and Applications||J.Wiley&Sons||2006|