FEI3362 Power System Mathematical Statistics 8.0 credits
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.
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Application
For course offering
Autumn 2023 Start 28 Aug 2023 programme students
Application code
51648
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.
Equipment
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
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
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
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.