htw saar Piktogramm QR-encoded URL
Back to Main Page Choose Module Version:
emphasize objectives XML-Code

flag


Grid Automation in Power Grids for Smart Grids and E-Mobility

Module name (EN):
Name of module in study programme. It should be precise and clear.
Grid Automation in Power Grids for Smart Grids and E-Mobility
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Electrical Engineering and Information Technology, Master, ASPO 01.04.2019
Module code: E2938
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P211-0271
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
-
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: according to optional course list
Mandatory course: no
Language of instruction:
German
Assessment:
Project work

[updated 21.06.2021]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E2938 (P211-0271) Electrical Engineering and Information Technology, Master, ASPO 01.04.2019 , optional course, technical
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
The total student study time for this course is 150 hours.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Michael Igel
Lecturer:
Prof. Dr. Michael Igel


[updated 22.01.2021]
Learning outcomes:
After successfully completing this module, students will be able to identify violations of the standardized limits of normal power grid operation with the help of grid utilization and grid failure analyses, and based on this, define a concept for the use of grid automation components aimed at ensuring the normal operation permitted by regulations. Students will be able to select and parameterize the required grid automation components and validate their solution. They will continue to acquire proficiency in the use of engineering software tools to calculate power grids.

[updated 21.06.2021]
Module content:
Developing a planning project for power distribution systems
- Task definition and description
- Defining test scenarios and performing network load analyses and (n-1) network failure analyses to identify network bottlenecks
- Evaluating the analysis results on the basis of standards and application guidelines and developing further criteria for evaluation
- Identifying the demand for grid automation
- Drafting of a concept for grid automation
- Implementing a grid automation solution with the help of an engineering software tool
- Validating the implemented solution


[updated 21.06.2021]
Teaching methods/Media:
Grid calculation software for power grids, laptop, seminaristic methods with presentations

[updated 21.06.2021]
Recommended or required reading:
VDE standards, technical guidelines e.g. from power grid operators, software manuals

[updated 21.06.2021]
[Fri Apr 19 07:34:52 CEST 2024, CKEY=enisfsg, BKEY=eim, CID=E2938, LANGUAGE=en, DATE=19.04.2024]