Electric power utilities are facing new challenges and problems in the changing utility environment. The course is aimed at providing an in depth introduction to the range of probabilistic aspects used in the assessment of electric power system reliability. The basic principles of reliability evaluation along with their application, current practices and solution methods in generation, transmission and distribution systems will be discussed.

Benefits of Participants:
• Understanding the fundamental of system reliability engineering
• Understanding the concepts of power system reliability
• Exposure to probabilistic technique applications to power system problems
• Exposure to reliability cost/worth problem and investigating the tradeoff between reliability and economics
Intended Audience:
• Utility personnel involved in system operation, planning and related activities
• Power engineers, graduate students and researchers in utilities and universities

The course will mainly cover the following aspects:
1. Fundamental concepts of reliability Engineering
2. System components and their outage models
3. Techniques used in engineering system risk assessment
4. Basic concepts of adequacy and security in electric power systems
5. Generating capacity reliability assessment
6. Composite generation and transmission system reliability evaluation
7. Application of risk evaluation in transmission developing planning, transmission operation planning, and generation source planning
8. Distribution system reliability evaluation
9. Substation and switching station reliability
10. Reliability cost/worth analysis
11. Reliability data requirements for predictive and performance assessment

Pre-reading the shared materials

Form of evaluation:
The participants will be evaluated by exercises on the reliability of power systems.

Organizer: Frede Blaabjerg, Professor, Aalborg University, Saeed Peyghami, Postdoc, Aalborg University

Lecturers: Mahmoud Fotuhi-Firuzabad, Professor, Department of Electrical Engineering, Sharif University of Technology, Sharif University of Technology


Time: 10-14 August 2020


Zip code: 


Number of seats: 40

Deadline: 20 July

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.