course-details-portlet

ET8105 - Power System Operation and Control

About

Examination arrangement

Examination arrangement: Aggregate score
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Assignment 50/100
Oral exam 50/100 45 minutes E

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.

Further on evaluation

The course is avaluated based on:

- The report from the individual project work.

- Oral exam

Both must be approved to pass the course.

Specific conditions

Admission to a programme of study is required:
Electric Power Engineering (PHELKT)

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.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Electrical Power Engineering
Contact information
Course coordinator:

Department with academic responsibility
Department of electric energy

Timetable

List view
Calendar view

Examination

Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Assignment 50/100 INSPERA
Room Building Number of candidates
Autumn ORD Oral exam 50/100 E
Room Building Number of candidates
Spring ORD Assignment 50/100 INSPERA
Room Building Number of candidates
Spring ORD Oral exam 50/100 E
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

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