IRMGR42118 Smart Grids Technology and Applications (Autumn 2022)
Facts about the course
- ECTS Credits:
- 10
- Responsible department:
- Faculty of Computer Science, Engineering and Economics
- Campus:
- Fredrikstad.
- Course Leader:
- Nicolae Lucian Mihet
- Teaching language:
- English.
- Duration:
- ½ year
The course is connected to the following study programs
Master in Green Energy Technology (Elective).
Recommended requirements
Basic knowledge of power systems, power electronics and Information and Communication Technologies. Previous knowledge of the fundamental area within energy technology or the subject Renewable energy (10 ECTS) from the 1st semester courses and Dynamic Modelling and Simulation of Microgrids (10 ECTS) and Wind, Solar and Hydropower in Power Systems (5 ECTS) from the second semester.
Lecture Semester
Third semester (autumn).
The student's learning outcomes after completing the course
Knowledge:
The student
has advanced knowledge about Smart Grid distribution systems, distributed generation & storage systems, energy management and communication technology
has advanced knowledge about Smart Grids components and architectures
has advanced knowledge about modelling and simulation of smart energy systems
has advanced knowledge about important aspects of the Norwegian and international energy systems, including state of the art and future trends.
Skills:
The student
can design, model, simulate and control Smart Grids components and systems
can formulate overall mathematical models for a smart energy system and apply these skills to outline the system characteristics.
General competence:
The student
can conduct a project in collaboration with other students
know how to search for scientific literature
can write, document and orally present a scientific report/project.
Content
The course will give an outline of the classic power systems and power system operations, smart grids with grid integration of distributed generation & storage systems, including Electric Vehicles (EVs) and flexible active loads. Energy storage technology, energy management and hierarchical and distributed control architectures including Information and Communication Technology (ICT) and Internet of things (IoT) will be pointed out. Smart meters, demand response and demand side management concepts will also be highlighted. Overview of modern and advanced Smart Grid systems with operational centers like SCADA system and operational tasks will be given.
Forms of teaching and learning
Regular lectures with basic teaching using video-projection and other interactive devices (dialogue-based teaching).
Individual and group modelling and simulation exercises
The course will also include laboratory exercises and project work to develop project-based learning methods, which will highlight the student¿s abilities in solving practical problems and teamwork.
New topics and simulation tools will be introduced by presenting concrete examples and problems using teaching methods with an inductive approach.
Workload
250-300 hours.
Coursework requirements - conditions for taking the exam
Individual oral presentation
HWs and lab assignments (2 individual project’s-based simulations + one group project-based measurements);
Examination
Oral exam 3 hours.
Grades from A to F, where A is the best grade, E is the lowest passed grade, and F is failed.
Examiners
One internal and one external examiner.
Conditions for resit/rescheduled exams
If the student fails the oral exam, they can re-take this exam maximum two more times. A resit will be arranged in January the following semester. The students do not need to redo the coursework requirements in order to re-take the written exam.
Course evaluation
The course will be evaluated by a standardized electronic form.
Literature
The current reading list for AUTUMN 2022 can be found in Leganto.