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Institute of Electrical Power and Energy Technology
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IEET > Staff > Research Assistants > Mirco Fabian Woidelko, M.Sc., M. A.

Mirco Fabian Woidelko

M.Sc., M.A.
Research Assistant

Contact

Mirco Woidelko, M.Sc., M.A.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
nach Vereinbarung
Harburger Schloßstraße 36,
21079 Hamburg
Building HS36, Room C2 1.013
Phone: +49 40 42878 4093
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Research Project

DisrupSys
Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply

DisrupSys

Disruptive functions and technology for angle-based integrated grid operation in converter-dominated power systems with predominantly renewable energy supply

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024

to the project page

Publications

TUHH Open Research (TORE)

Courses

Stud.IP
link to course in Stud.IP Studip_icon
IIW Praktikum - Unlocking the Power of Performance Engineering: Revamping a Location Tracking Service
Semester:
WiSe 23/24
Course type:
Practical Course
Lecturer:
M.Sc. Yannick Loeck, Niklas Gollenstede, Prof. Dr. Christian Dietrich
Description:
In the rapidly-evolving tech landscape, speed and efficiency are the cornerstones of service superiority. Performance engineering, the art of infusing speed and reliability into systems, is a highly sought-after skill. By mastering this, you'll be positioned as a problem-solver within any company, systematically understanding and optimizing the entire system stack. This project serves as your gateway to the world of performance engineering. It's a hands-on experience where you'll collaboratively overhaul a sub-optimal location tracking service, transforming it to handle a million requests per second, while adding new features to enhance its usability. Our task is to use continuous location updates from simulated drivers traversing Germany as input to our service. The features you'll develop include: • Broad statistical analysis across boroughs, municipalities, and federal states. • In-depth driver statistics, like virtual mileage recorder and average speed. • Real-time vehicle tracking with geofenced notifications. • Management of historical time-series data. While the project emphasizes the creation of a robust, high-speed server backend, it also encourages teamwork and communication. As part of a team, you'll jointly decide on the best approach to problems and implement solutions, mimicking real-world working environments. The current prototype processes 1200 requests per second without the additional features. Our aim? A single machine adeptly handling a staggering million requests per second. This is not just an opportunity to improve an existing system, but also a chance to innovate, devise new approaches, and experience first-hand how your contributions can enhance system performance. We understand that the project could be challenging, but worry not. The journey from novice to proficient is paved with learning, making mistakes, and growing from them. This is a safe space to challenge yourself and acquire a new, highly valuable skillset. Prerequisites: • Basic knowledge of C/C++ programming. • Familiarity with Linux. By the end of this project, you'll have a deep understanding of performance engineering tools, ready to solve real-world performance problems. The location-based tracking service is our playground to explore, learn, and master these tools. It's not just about completing a project; it's about gaining a skill that can accelerate your career in the tech industry. Let's embark on this exciting journey together!
Area classification:
Studiendekanat Elektrotechnik, Informatik und Mathematik
Stud.IP informationen about this course:
Home institute: Operating System Group (E-EXK4)
Registered participants in Stud.IP: 9
Documents: 4

Supervised Theses

ongoing
completed

2023

  • Babendererde, A. (2023). Regelung eines Umrichters zum Anschluss eines Wasserstoffspeicherkraftwerks an die Höchstspannungsebene.

2022

  • Lim, I. (2022). Modelling and Integration of a Hydrogen Storage Power Plant in the 10-Machine New-England Power System.

  • Lindner, J. (2022). Primärregelungskonzepte für einen Batteriepufferspeicher eines Wasserstoffspeicherkraftwerkes.

  • Rieckborn, N. (2022). Modellierung des Umwandlungsprozesses eines Wasserstoffspeicherkraftwerks.

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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