Course: Optimization Methods in Power Engineering
Code: 3ФЕИТ04012
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:
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Required Literature |
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No. |
Author |
Title |
Publisher |
Year |
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1 |
F. C. Knopf | Analysis and Optimization of Process and Energy Systems | J.Wiley&Sons | 2012 |
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2 |
J. Zhu | Optimization of Power System Operation | IEEE Press, J.Wiley&Sons | 2009 |
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3 |
K. Y. Lee, M. A. El-Sharkawi | Modern Heuristic Optimization Techniques: Theory and Applications to Power Systems | J.Wiley&Sons | 2008 |
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Additional Literature |
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No. |
Author |
Title |
Publisher |
Year |
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1 |
A. Ravindran, K. M. Ragsdell, G. V. Reklaitis | Engineering Optimization: Methods and Applications | J.Wiley&Sons | 2006 |
