Smart grids – active networks and microgrids

Individual course

Learning outcomes

After completing this course successfully, the student

  • understands drivers for smart grids and can identify impacts of large-scale integration of renewable energy resources (RES)
  • has knowledge about distributed energy resources (DER)
  • has basic knowledge about DER units control and management
  • has knowledge about dynamics, control and protection of microgrids
  • is familiar with different grid codes related to DER and smart grids and understands their need and effect on active network management and protection
  • has knowledge about need for increased cooperation between distribution and transmission networks
  • understands power quality and network planning aspects due to large-scale integration of DER in MV and LV distribution networks
  • has basic knowledge about new service operators and new market and business models of future active network concepts
  • can apply simulation tools to study the network interconnection and control effects of DER

The course develops lifelong learning and interpersonal skills.

Teaching schedule

  • Final scheduling available in August 2026. Materials and recording available.

Completion methods

Part 1: 3 ECTS (SATEFT3170A)

  • Final exam in Moodle, multiple choice questions from lectures 1-9, three attempts
  • Course grading: pass or fail

Part 2: 2 ECTS (SATEFT3170B)

  • Written assignment, from chosen lecture topic done individually (not a group work)
  • Simulation exercise reports, from both simulation exercises 1 and 2, can be done individually
  • Requires also passing of SATEFT3170A, Part 1

More information in the University of Vaasa study guide.

Please note! Degree students enroll on this course via RIPA. More instructions here.

You can get a digital badge after completing this course.

Responsible teacher

University of Vaasa
Hannu Laaksonen
hannu.laaksonen(at)uwasa.fi

Contact person for applications

FITech-verkostoyliopisto
FITech-yhteyshenkilö
info(at)fitech.io

Topics:

Course code:

Study credits:

Price:

Course level:

Teaching period:

Application start date:

Application deadline:

Host university:

Who can apply:

Teaching method:

Teaching language:

General prerequisites:

Course suitable for: