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Smart Energy Systems

9 LP


#40916 / #3

Seit WS 2019/20

Fakultät IV

TEL 14

Institut für Wirtschaftsinformatik und Quantitative Methoden

34361200 FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT)

Albayrak, Sahin

Yurdakul, Ogün

POS-Nummer PORD-Nummer Modultitel
2348273 40083 Smart Energy Systems

Learning Outcomes

By the end of this course, students will have • the ability to solve real-world problems with an analytical approach • a deeper understanding of the technical, regulatory, economic, and environmental aspects of electricity • keen insights into the challenges associated with the integration of renewable energy resources to grid • sufficient skills to optimize the operation of energy resources, loads, and energy storage resources based on user-defined objectives and constraints • the capability to apply machine learning algorithms to forecast load and renewable electricity generation


The course explores the technical, economic, environmental and policy aspects of microgrids with renewable energy resources (RERs), energy storage resources (ESRs), and electric vehicles (EVs). The upsurge in renewable generation, EV sales, and ESR integration, the restructuring of the electricity industry, the aging transmission system, and the increasing interest in environmental protection are presenting unparalleled challenges to the electric power industry. Microgrids permit the reliable integration of RERs, EVs, and ESRs to the electricity grid, and enable the local consumption and generation of electricity, thereby alleviating congestion in the transmission system. A key challenge in microgrids is the optimization of the controllable physical assets in the microgrid based on user-defined goals and constraints, all the while ensuring a reliable operation of the microgrid. In this course, students will form groups to undertake projects on the energy management of a house, a vessel, and an electric vehicle, that are modeled as microgrids. Lectures on the basics of power systems, power flow equations, optimization techniques, and renewable and load forecasting techniques will be conducted. In addition, the economic and regulatory policy aspects of electricity are treated.

Module Components


All Courses are mandatory.

Course Name Type Number Cycle Language SWS
Smart Energy Systems PJ 0435 L 779 WS/SS German/English 4

Workload and Credit Points

Smart Energy Systems (PJ):

Workload description Multiplier Hours Total
attendance 15.0 2.0h 30.0h
participation in weekly group meetings 15.0 2.0h 30.0h
homework preparation 3.0 5.0h 15.0h
quiz preparation 3.0 5.0h 15.0h
implementation 1.0 80.0h 80.0h
final presentation preparation 1.0 40.0h 40.0h
oral exam preparation 1.0 20.0h 20.0h
final report preparation 1.0 40.0h 40.0h
270.0h(~9 LP)
The Workload of the module sums up to 270.0 Hours. Therefore the module contains 9 Credits.

Description of Teaching and Learning Methods

Students are expected to attend lectures. They will also take part in teamwork projects and practice in regular support sessions.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Students are expected to have good programming skills.

Mandatory requirements for the module test application:

No information

Module completion



Type of exam:

Portfolio examination



Typ of portfolio examination

100 points in total

Test elements

Name Points Categorie Duration/Extent
Homework 15 practical 12 weeks
Quizzes 15 written 3 x 20 minutes
Oral Exam 15 oral 15 minutes
Final Presentation 25 oral 20 minutes
Final Report 30 written 20-30 pages

Grading scale

Test description (Module completion)

No information

Duration of the Module

This module can be completed in one semester.

Maximum Number of Participants

The maximum capacity of students is 30.

Registration Procedures

Enrolment is done via Qispos or examination office (Prüfungsamt) and additionally registration on corresponding ISIS course page.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

Electronical lecture notes

Availability:  available


Recommended literature
No recommended literature given.

Assigned Degree Programs

Zurzeit wird die Datenstruktur umgestellt. Aus technischen Gründen wird die Verwendung des Moduls während des Umstellungsprozesses in zwei Listen angezeigt.

This module is used in the following modulelists:

This module is used in the following Degree Programs (new System):


    No information