Course Overview
In this course, mathematical models of electrical machines are developed. The most common alternating current machines, synchronous and asynchronous machines, are treated thoroughly. The mathematical models are used in stationary and dynamic analysis of their behavior in power grids, industrial applications and motor drives.
Course Highlights
The models that are developed are based on classic 2-axis theory. Different variants of the models are developed and demonstrated for different areas of use. Simulation models are used for this purpose in in both lectures and exercises. The course further deals with the physical origin of the parameters included in the models. How these can be manipulated by design is dealt with to some extent. The course also describes factors that determine the load capacity of the machines.
MAIN GOAL
Following this course, the candidate should know the various static and dynamic models of the synchronous and asynchronous machine. The student should also be able to choose a model with sufficient accuracy, depending on the application, and know the machine's static and dynamic properties and behavior in various application. Finally, the candidate should know which physical parameters limit the capability of the machines.
Learning Outcomes
After completion of this course, you will gain the ability to:
- + Explain the various models and the most important dynamic phenomena in the machines that the models describe.
- + Use the models for various types of analyzes and in simulation in programs such as Python
- + Analyze known dynamic phenomena in the event of short-circuiting, start-up and load changes
Meet Your Instructors
Course coordinator
Professor
Associate Professor
Admissions
Entry Requirements
- + Recommended: IELET2120/IELEG2120 Electrical Machines and Electromagnetic Energy Conversion
Teaching and Assessment Methods
- + Lectures: The lecture contains small exercises that students solve either analytically or using Python. Results are discussed in the class.
- + Exercises: Include programming using Python. The programmed machine models are then used in simulations. There are normally 5 larger exercises in the course semester. The students work in groups of 2.
Application Deadline: TBC.
Practical Notes
- + Textbook: Paul Krause et. al.: "Analysis of Electric Machines and Drive Systems". 3rd Edition. ISBN 978-1-118-02429-4.
Fees & Funding
Tuition Fees
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Course Info
Contact Arne Nysveen for any additional information relating to this course.
