EI3364 Reliability Centred Asset Management for Power Systems 9.0 credits

Tillförlitlighetsbaserad värdevård av kraftsystem

The course gives the participants knowledge on how to use reliability analysis as an advanced tool for decision support during design, operation and maintenance of electric power systems. The application studies are mainly focused on electrical distribution systems, but does also include transmission, generation and control system studies. The basic concept is that the students after participating in lectures produces work on an individual topic on a scientific level and presents it in the form of a paper on the level that should be accepted on a peer-reviewed conference.

  • Education cycle

    Third cycle
  • Main field of study

  • Grading scale

    P, F

Course offerings

Spring 19 for programme students

  • Periods

    Spring 19 P4 (9.0 credits)

  • Application code

    61384

  • Start date

    18/03/2019

  • End date

    04/06/2019

  • Language of instruction

    English

  • Campus

    KTH Campus

  • Tutoring time

    Daytime

  • Form of study

    Normal

  • Number of places

    No limitation

Autumn 18 for programme students

  • Periods

    Autumn 18 P1 (9.0 credits)

  • Application code

    51732

  • Start date

    27/08/2018

  • End date

    26/10/2018

  • Language of instruction

    English

  • Campus

    KTH Campus

  • Tutoring time

    Daytime

  • Form of study

    Normal

  • Number of places

    No limitation

Information for research students about course offerings

The course is given when there is sufficient demand. Please contact the examiner if you are interested in taking the course.

Intended learning outcomes

The course is aimed to you that want to perform power system reliability assessment. The goal for the course is to give the participants deeper knowledge on how to use reliability analysis as a tool for decision support during design, operation and maintenance of electric power systems.

The student should after passed course have reached such level in their understanding of power system reliability that they are able to contribute to the research field. Specifically being able to use reliability assessment as a tool for decision support for planning and operation of the electric power system. After completed course the participants shall achieved knowledge to:

    * Describe the fundamental definitions and concepts for reliability assessment

    * Analyze a system using the following techniques for reliability assessment:

      - Network modeling

      - Component importance techniques

      - Markov modeling

      - Lifetime models

    * Analyze an electrical distribution system using software tools.

    * Formulate a Life cycle cost model (LCC).

    * Discuss power system regulatory issues.

After completed course the participants shall be able to publish results (conference level) on one of the topics:

(1) Reliability data assessment and modeling,

(2) Reliability centered maintenance for maintenance optimization,

(3) Condition monitoring and diagnostics methods and

(4) Computer tools supporting techniques for maintenance planning.

(5) Control system reliability.

Course main content

Definitions and concepts in reliability theory used in the course

Network reliability modeling

Component reliability importance techniques

Markov modeling

Lifetime models

Software tools

Maintenance optimization techniques and problem formulation

Life cycle cost and Life cycle cost analysis

Power system regulatory methods.

Project work on reliability

Peer review of paper (fellow student)

Disposition

Lectures (40h), software exercises (16h), project work 120h, paper review and presentation of project (24h), homework problems and exam (40h).

Eligibility

Doctoral student

Literature

Lecture notes and papers handed out at lectures.

Rausand Höyland: System Reliability Theory, 2nd ed.

Examination

  • EXA1 - Examination, 9.0, grading scale: P, F

Requirements for final grade

·         Exam

·         Oral presentation

·         Review of peer-paper

·         Project approved and delivered before deadline

Offered by

EECS/Electromagnetic Engineering

Contact

Patrik Hilber (hilber@kth.se), Sanja Duvnjak Zarkovic (sanjadz@kth.se)

Examiner

Patrik Hilber <hilber@kth.se>

Version

Course syllabus valid from: Spring 2019.
Examination information valid from: Spring 2019.