19D021MO - Power Systems Optimization
| Course specification | ||||
|---|---|---|---|---|
| Course title | Power Systems Optimization | |||
| Acronym | 19D021MO | |||
| 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 |
| 8 | ||||
| Methods of teaching | lectures | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | Test paper | 70 | ||
| Practical lessons | Oral examination | |||
| Projects | ||||
| Colloquia | 30 | |||
| Seminars | ||||