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 outcome

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.

Learning methods and activities

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.

Specific conditions

Recommended previous knowledge

Good knowledge on power system modelling and stability analysis, similar to the MSc course TET 4180: Power system dynamics and control.

Required previous knowledge

Admission to the Doctoral Program in Electrical Power Engineering is required to take this course. PhD-students from other doctoral programs can be enrolled in this course on request.

Course materials

Ali Abur, Antonio Gómez Expósito, "Power System State Estimation: Theory and Implementation", CRC Press, 2004.

P. Rabha, C. C. Shyam and A. K. Sinha, "Hybrid state estimation of power system using conventional and phasor measurements," 2015 International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE), DOI:10.1109/EPETSG.2015.7510083Corpus ID: 21287534.

Gibbard, Pourbeik, Vowles: Small-signal stability, control and dynamic performance of power systems, The University of Adelaide Press, February 2016, Online ISBN:9781925261035.

Kundur, P.: "Power system stability and control", McGraw-Hill, 1994.

Machowski, J.,Bialek, J., Bumby, J.: "Power System Dynamics - Stability and Control", Wiley 2020, 3rd Ed.