13D021MO - Power Systems Optimization
Course specification | ||||
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Course title | Power Systems Optimization | |||
Acronym | 13D021MO | |||
Study programme | Electrical Engineering and Computing | |||
Module | Power Networks and Systems | |||
Type of study | doctoral studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 9.0 | Status | elective | |
Condition | none | |||
The goal | Make students capable to apply optimization methods of solving complex optimization problems in power system | |||
The outcome | Students are capable of solving power system optimization problems by their own. | |||
Contents | ||||
Contents of lectures | Introduction. Linear, nonlinear, and quadratic programming. Decomposition and relaxation methods. Dynamic, goal, geometric, multicriterial, and combinatorial programming, artificial intelligence methods. Applications on static and dynamic problems in power systems: optimal power flow, optimal investment and operational planning, voltage - reactive optimization problems. | |||
Contents of exercises | study research work | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
6 | ||||
Methods of teaching | lectures | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 0 | Test paper | 70 | |
Practical lessons | 0 | Oral examination | 0 | |
Projects | ||||
Colloquia | 30 | |||
Seminars | 0 |