ET8105
Power System Operation and Control
Autumn
Trondheim
English
About this course
Content
Power systems are changing with more diversity in power generation and demand. With an increasing share of converter-interfaced components, the operation and control of power systems are challenged. The traditional dynamic analysis focusing on the electro-mechanical performance of synchronous generators is no longer sufficient.
The course deals with advanced theoretical methods and applied tools that are needed for stable and secure operation and control of present and future power systems.
Learning outcomes
In this course you will gain advanced knowledge and skills regarding advanced power system operation, stability analysis, real-time simulation and state estimation, including application of synchronized phasor measurements and performance of Phasor Measurement Unit.
The aim of the course is on one hand to be familiar with the conventional but advanced methods and tools for power system analysis as a basis, but further to gain knowledge and skills on how to extend the models and tools for operation and control with new power components and information technologies.
Learning outcome
Knowledge
This course will give a deep understanding in tools and techniques for Power System Operation and Analysis (PSOA). After completing the course, the student shall have advanced knowledge about the selected topics (listed below).
Skills
After completing the course, the student will be able to participate in research activities on an international level within the selected topics.
Specifically, the PhD candidate should be able to implement and use state estimation algorithms, perform stability analysis on very large power system models and design controllers for such systems. Further, the candidate will be familiar with selected laboratory equipment and be able to perform basic real time simulations with OPAL-RT. Furthermore, the handling and operation of various PMUs from different manufacturers will be learned and documented.
Teaching methods
The course will consist of lectures and self study assignments that are followed by seminars with presentations by students. Further, there will be individual project works that include either a laboratory assignment or a computer modelling and analysis task. The report from the project work must be approved as part of the evaluation.