IRMGR42118 Smart Grids Technology and Applications (Autumn 2021)

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

• 6 labs based simulation exercises with a written report

Examination

Individual written exam 3 hours. All written aids and calculator are permitted.

 

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 written 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

Last updated 05.10.2018. The reading list may be subject to change before the semester starts.

The students will conduct a literature search to find relevant literature.

 

Recommended references:

• Mihet-Popa,L. (2015) Development of simulation tools for energy conversion systems toward Smart Grids, Editura Politehnica

• Eissa, M.M (2015), Energy efficiency improvements in Smart Grid Components, InTech

• Janaka Ekanayake, Kithsiri Liyanage, Jianzhong Wu, Akihiko Yokoyama, Nick Jenkins (2012), Smart Grid: Technology and Applications, John Wiley