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IEET > Staff > Research Assistants > Béla Wiegel, M.Sc.

Béla Wiegel

M.Sc.
Research Assistant

Contact

Béla Wiegel, M. Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Harburger Schloßstraße 36,
21079 Hamburg
Building HS36, Room C2 1.001
Phone: +49 40 42878 2240
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Research Projects

EffiziEntEE
Efficient integration of high shares of renewable energies in technically and economically integrated energy systems

EffiziEntEE

Efficient integration of high shares of renewable energies in technically and economically integrated energy systems

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2022 to 2025

to the project page
CyEntEE
I³-Lab Cyber Physical Energy Systems – Sustainability, Resilience and Economics

I³-Lab

CyEntEE

Cyber Physical Energy Systems – Sustainability, Resilience and Economics

Hamburg University of Technology (TUHH); Duration: 2020 to 2023

to the project page

Publications

TUHH Open Research (TORE)

2024

2023

2022

2021

Courses

Stud.IP
link to course in Stud.IP Studip_icon
Smart-Grid-Technologien
Subtitle:
Modul: Smart-Grid-Technologien
Semester:
WiSe 23/24
Course type:
Lecture
Course number:
lv2706_w23
Lecturer:
Prof. Dr.-Ing. Christian Becker, Dr. Davood Babazadeh, Anna-Lena Steen, M.Sc., Marwan Mostafa, M.Sc., Tom Steffen, M.Sc., Dr.-Ing. Payam Teimourzadeh Baboli
Description:

Introduction to Smart Grids

  • Intelligent Distribution Grids
  • Paradigm shifts: Digitalization & Sustainability 

Emerging technologies in distribution grids 

  • Distributed Energy Resource (DER) 
  • Battery Energy Storage (BES) technologies 
  • Sector-coupling & EV/V2G
  • Microgrids, Inverter-based Systems 
  • Modelling and control of PV & BESS 

Distribution grid management & analysis 

  • Distribution grid structure (Hamburg example)
  • Distribution grid management and operation architecture and functions 
    • Fault Detection, Isolation & Restoration 
    • Self-Healing in distribution systems
    • Volt-Var Optimization 
    • Distribution Load Flow
  • Demand Side Management & Demand Response 
  • Lab exercise (Smart Grid Operation)

Computational intelligence and optimization techniques in Smart Grids 

  • Computational challenges in Smart grid
  • Heuristic & Analytic Optimization Methods 
  • Intelligent Systems (Expert Systems, ML/AL) 
  • Applications (optimal load flow, reactive capacitor placement)
  • Lab exercise (optimization formulation) 

ICT Technologies for Smart Grids

  • Advanced Metering Technologies: Smart Meters, RTU, PMU  
  • Automation and Communication standards in Distribution grids
  • Interoperability in Smart grids ( Smart Grid Architecture Model)
  • Cyber security

Practical lesson-learned: Stromnetz Hamburg (SNH) perspective

  • Definition of Smart Grid and its requirements from industry view 
  • Grid digitalization - examples of industrial projects 
  • Flexible load management 
  • Electromobility & transportation sector integration

Study visits:

  • Digital Substation in Harburg 
  • Electric Bus charging station  
  • Stromnetz Hamburg Control Center
Pre-requisites:
Fundamentals of Electrical Engineering, Introduction to Control Systems, Mathematics I, II, III Electrical Power Systems I
Performance accreditation:
Project, Report, Assignments, Presentations
ECTS credit points:
6
Stud.IP informationen about this course:
Home institute: Elektrische Energietechnik (E-6)
Registered participants in Stud.IP: 22
Postings: 17
Documents: 40

Supervised Theses

ongoing
completed

2022

  • Kaya, E. (2022). Simulation des Lebenszyklus‘ einer Lithium Ion Zelle in den stationären EP and instationären EV Anwendungsfällen.

  • Pauelsen, F.-T. (2022). Implementierung eines Maximum-Power-Point-Tracker für Photovoltaikanlagen in Modelica.

  • Rücker, J. (2022). Dynamische Untersuchung des Verhaltens elektrischer Komponenten auf Quartiersebene hinsichtlich der Spannungshaltung.

  • Rüffert, J. (2022). Charakterisierung von Zellen in Verteilnetzen anhand von Bewertungskriterien und die Auswirkungen von punktuell und zeitlich begrenzt auftretenden Lasten.

2021

  • Helmrich von Elgott, L. (2021). Optimierter Einsatz dezentraler Flexibilität zur Betriebsführung intelligenter sektorgekoppelter Verteilnetze.

  • Zwinzscher, S. (2021). Entwicklung einer Methodik zur dynamischen Berechnung der Flexibilität eines auf Power-to-Heat basierenden Nahwärmenetzes.

TU Hamburg
Institute of Electrical Power and Energy Technology (ieet) E-6
Prof. Dr.-Ing. Christian Becker
Harburger Schloßstraße 36
21079 Hamburg
E-mail : ieet(at)tuhh.de
Phone : +49 40 42878 3213
Fax : +49 40 42878 2382
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