FEI3390 Reliability Evaluation of Sustainable Electric Power Systems (RSEPS) 7.5 credits
The overall goal of this course is to provide a basic knowledge of reliability theories with applications for the electric power system and its components. The course provides a basic introduction to reliability theory and general methods. Then the course sheds light on various issues for electric power systems which can be studied with reliability analysis, and shows examples of solution methods. Furthermore, the course includes an introduction to general methods for maintenance management, including methods for life cycle cost analysis, including assessment of environmental impact. The electric power system is a fundamental energy infrastructure. Its main functions are to provide electricity to customers at request in time and place, with right level of reliability and with a certain power quality. The electric power system involves generation of electricity, delivery of electricity and different solutions for electricity usage and energy storage. One of the key features of the power system is the constant requirement on balance between generation and usage of electricity (typically expressed as load). In all these different steps there are different unknown features with stochastically behaviour, and obviously one main concern is the prediction of forecast for generation and load. Today´s development of the electric power system has a main driver being a facilitator for the sustainable energy system targeting different political targets. A sustainable energy system involves key components of; increasing use of renewable energy resources, increased energy efficiency and use of electricity in the transportation sector. As an effect of this some key questions for the electric power system are; integration of intermittent electricity generation e.g. from wind power, and connections of electrical vehicles to the electrical distribution system and different solutions for energy storage. The concept of Smart Grid captures these developments, which put new demands, challenges and possibilities for the electric power system. The electric power system is a complex technical system. The Smart Grid deployments add to the complexity including an energy system perspective, and new features for increased flexibility, and with same requirements on reliability in electricity supply. This course will give a thoroughly introduction of fundamental reliability theory and basic models for analysis. The theories are generic and applicable for any technical system. This course is focused on application for electric power systems and its equipment. Examples will be given from real case studies and own research studies. The application examples include: generation (hydro, nuclear, wind, solar), transmission and distribution and main components (cables, lines, circuit breakers, transformers), usage and storage (smart meters, electrical vehicles, battery storage).
Information for research students about course offerings
The next course opportunity will be in 2021 starting on June 7.
Content and learning outcomes
This course will give a thoroughly introduction of fundamental reliability theory and basic models for analysis. The theories are generic and applicable for any technical system. This course is focused on application for electric power systems and its equipment in the context of being an enabler for the future sustainable society. Moreover the course includes introduction to methods and concepts related to: asset management, predictive maintenance methods, life cycle cost analysis and circular economics. Examples will be given from practical and own research studies. The application examples include: generation (hydro, nuclear and wind, solar), transmission and distribution and main components (cables, lines, circuit breakers, transformers) and usage and storage (meters, electrical vehicles, battery storage). The overall objectives of the course are that the participants after completed course shall be able to use: reliability assessment and asset management methods as major tools for decision support for design, operation, maintenance and planning of electric power systems.
Intended learning outcomes
After completing the course, the participant should be able to:
- Problematize the electric power system as part of the transformation of the energy system for a sustainable society.
- Master basic terminology and concepts for reliability analysis.
- Analyze a system with the following methods and techniques for reliability analysis:
- Network method for analysis of independent components,
- Methods for identifying critical components,
- Marcov modeling,
- Lifetime modeling.
- Perform electric power system reliability analysis including the following aspects:
- Requirements and availability of data.
- Availability of test systems and tools,
- Adequacy and security assessment,
- Protection system reliability,
- N-1 criteria analysis,
- Load point and system indices,
- Lifetime extensions.
- Master basic terminology and concepts for asset management and maintenance management based on standard ISO 55 000.
- Formulate a strategy for maintenance management based on the method for reliability-based maintenance (RCM) and quantitative method RCAM (Reliability Centered Asset Management). This includes, for example, knowledge of performing; failure mode effect analysis, methods for condition monitoring and predictive models for maintenance.
- Perform life cycle cost analysis (LCC) including basic investment and risk analysis including aspects of circular economy.
The course is divided into the following parts:
- Intensive course week with lectures and tutorials covering the course content.
- Self-tuition, working on assignments, and an individual project.
- Examination. The examination will include both a written and an oral part covering the course content.
- Final seminar with presentations of individual projects.
Literature and preparations
Entry requirements for this course is equivalent to master exam in Electrical Engineering, or corresponding and with basic knowledge in statistics methods.
EG2100 Power System Analysis or corresponding
EJ2301 Power electronics or corresponding
English B or corresponding
The main course literature are as follows:
System Reliability Theory Models, Statistical Methods, and Applications. Marvin Rausand, Anne Barros, Arnljot Hoyland, Wiley—Blackwell, 3rd edition 2021.
Reliability Evaluation of Power Systems. R. Billinton and R. Allan, New York: Plenum Press, 1996.
Infrastructure Asset Management with Power System Examples, L. Bertling Tjernberg, CRC Press Taylor and Francis, April 2018.
Complementary lecture material will be handed out during the course.
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- EXA1 - Examination, 7.5 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.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
- 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 about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.Course web FEI3390