Marwan Mostafa

M.Sc.
Research Assistant

Contact

Marwan Mostafa, M.Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
nach Vereinbarung/ by appointment
Harburger Schloßstraße 36,
21079 Hamburg
Building HS36, Room C3 0.013
Phone: +49 40 42878 4097
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Research Project

iNeP
Integrated network planning for the electricity, gas and heat sectors

iNeP

Integrated network planning for the electricity, gas and heat sectors

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2026

Publications

TUHH Open Research (TORE)

2023

2022

2021

Courses

Stud.IP
link to course in Stud.IP Studip_icon
Smart Grid Technologies
Subtitle:
Modul: Smart-Grid-Technologien
Semester:
WiSe 22/23
Course type:
Lecture
Course number:
lv2706_w22
Lecturer:
Prof. Dr.-Ing. Christian Becker, Dr. Davood Babazadeh, Tom Steffen, M.Sc., Christina Eckel, M.Sc., Marwan Mostafa, M.Sc.
Description:
<p><strong>Introduction to Smart Grids</strong></p>
<ul>
<li>Intelligent Distribution Grids</li>
<li>Paradigm shifts: Digitalization &amp; Sustainability&nbsp;</li>
</ul>
<p><strong>Emerging technologies in distribution grids&nbsp;</strong></p>
<ul>
<li>Distributed Energy Resource (DER)&nbsp;</li>
<li>Battery Energy Storage (BES) technologies&nbsp;</li>
<li>Sector-coupling &amp; EV/V2G</li>
<li>Microgrids, Inverter-based Systems&nbsp;</li>
<li>Modelling and control of PV &amp; BESS&nbsp;</li>
</ul>
<p><strong>Distribution grid management &amp; analysis&nbsp;</strong></p>
<ul>
<li>Distribution grid structure (Hamburg example)</li>
<li>Distribution grid management and operation architecture and functions&nbsp;<ul>
<li>Fault Detection, Isolation &amp; Restoration&nbsp;</li>
<li>Self-Healing in distribution systems</li>
<li>Volt-Var Optimization&nbsp;</li>
<li>Distribution Load Flow</li>
</ul>
</li>
<li>Demand Side Management &amp; Demand Response&nbsp;</li>
<li>Lab exercise (Smart Grid Operation)</li>
</ul>
<p><strong>Computational intelligence and optimization techniques in Smart Grids&nbsp;</strong></p>
<ul>
<li>Computational challenges in Smart grid</li>
<li>Heuristic &amp; Analytic Optimization Methods&nbsp;</li>
<li>Intelligent Systems (Expert Systems, ML/AL)&nbsp;</li>
<li>Applications (optimal load flow, reactive capacitor placement)</li>
<li>Lab exercise (optimization formulation)&nbsp;</li>
</ul>
<p><strong>ICT Technologies for Smart Grids</strong></p>
<ul>
<li>Advanced Metering Technologies: Smart Meters, RTU, PMU &nbsp;</li>
<li>Automation and Communication standards in Distribution grids </li>
<li>Interoperability in Smart grids ( Smart Grid Architecture Model)</li>
<li>Cyber security</li>
</ul>
<p><strong>Practical lesson-learned: Stromnetz Hamburg (SNH) perspective</strong></p>
<ul>
<li>Definition of Smart Grid and its requirements from industry view&nbsp;</li>
<li>Grid digitalization - examples of industrial projects&nbsp;</li>
<li>Flexible load management&nbsp;</li>
<li>Electromobility &amp; transportation sector integration</li>
</ul>
<p><strong>Study visits:</strong></p>
<ul>
<li>Digital Substation in Harburg&nbsp;</li>
<li>Electric Bus charging station &nbsp;</li>
<li>Stromnetz Hamburg Control Center</li>
</ul>
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: 17
Documents: 66

Supervised Theses

ongoing
completed

2022

  • Barthelme, J. (2022). Technisch-ökonomische Systemmodellierung und -anlayse eines urbanen Quatiers hinsichtlich des Einsatz von Wasserstoff als primärer Energieträger.