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.
FEI3362 Power System Mathematical Statistics 8.0 credits
Information per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FEI3362 (Spring 2019–)Headings with content from the Course syllabus FEI3362 (Spring 2019–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
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.
Literature
You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
P, F
Examination
- 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
Examiner
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