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FEI3362 Power System Mathematical Statistics 8.0 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FEI3362 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Definitions and concepts in statistical theory for power systems

Network reliability

Component reliability

Control system reliability

Project work on statistical analysis of academic or real world problem.

Intended learning outcomes

The course is aimed to you that need a statistical toolbox for power system analysis, with respect to design, operation and maintenance of the systems. After completed course the participants should have reached such level of knowledge that he/she can publish own work (peer-reviewed conference paper) on the topic of power system statistical analysis, within one or more of the following areas:

·         Statistical inference

·         Markov Chains

·         Game Theory

·         Convergence criterias in simulations

·         Statistical finance applications to power system modeling

·         Bayesian networks

·         Filtering techniques

·         Measurement techniques from a statistical viewpoint

Monte Carlo techniques

Literature and preparations

Specific prerequisites

PhD Student

Recommended prerequisites

Course in reliability analysis.


No information inserted


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Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F


  • EXA1 - Examination, 8.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

  • Exam
  • Oral presentation
  • Project approved and delivered before deadline

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted


Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted


Patrik Hilber,

Postgraduate course

Postgraduate courses at EECS/Electromagnetic Engineering