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.
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.
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.