Rolf Egert

nameRolf Egert
positionDoctoral Researcher
phone+49 (6151) 16 - 23205
fax+49 (6151) 16 - 23202
officeS2|02 A316
postal addressTU Darmstadt - FB 20
FG Telekooperation
Hochschulstraße 10
D-64289 Darmstadt

Short Biography

Rolf Egert is a PhD student in the area of Smart Protection in Infrastructures and Networks(SPIN) at the Telekooperation Lab under the direction of Prof. Dr. Max Mühlhäuser. In 2016 he received two master degrees in computer science (with minor in psychology) and it-security from TU Darmstadt with his thesis “analysis of the MTProto protocol”. 

Research Interests

  • Resilience and Self-Healing in Critical Infrastructures
  • Smart Grid Modelling and Control
  • Smart Grid Security

Project Work

Project PolyEnergyNet: BMWI Forschungsinitiative

Teilprojekt CRISP - Wertschöpfung mit privatheitsrelevanten Nutzerdaten: BMBF 


HOLEG: a Simulator for Evaluating Resilient Energy Networks based on the Holon Analogy

Author Rolf Egert, Carlos Garcia Cordero, Andrea Tundis, Max Mühlhäuser
Date October 2017
Kind Inproceedings
Book title21st IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2017)
LocationRome, Italy
Research Areas SPIN: Smart Protection in Infrastructures and Networks, Telecooperation
Abstract <div>The process of designing and evaluating distributed</div> <div>Cyber-Physical Systems (CPSs) is not a trivial task. There</div> <div>are many challenges to tackle such as managing distributed</div> <div>resources, enabling communication between components, and</div> <div>choosing performance metrics to evaluate the “goodness” of</div> <div>the system. Smart Grids (SGs) are prominent representatives</div> <div>of CPSs, a particular type of Critical Infrastructure (CI), whose</div> <div>organizational model is becoming more distributed and dynamic.</div> <div>Due to this paradigm shift, new control and management mechanisms</div> <div>need to be identified and tested to guarantee uninterrupted</div> <div>operation. However, novel approaches cannot always be tested</div> <div>against real networks as the economic cost and risk can be</div> <div>high. In contrast, modeling and simulation techniques are viable</div> <div>evaluation mechanisms that support the continuous evolution of</div> <div>CIs. In this paper, we present an Open Source time-discrete</div> <div>simulation software, called HOLEG, that models and evaluates</div> <div>SGs. The software is based on the Holon analogy, a bioinspired</div> <div>approach that enables systems resilience through flexible</div> <div>reconfiguration mechanisms. The presented software provides</div> <div>features that enable the integration and execution of optimization</div> <div>algorithms along with their evaluation. To demonstrate HOLEG,</div> <div>a case study is presented where a heuristic algorithm is implemented</div> <div>to minimize wasted energy while preventing network</div> <div>destabilization.</div>
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Teaching Activities

  • Seminar Telekooperation WS 16/17
  • Seminar Telekooperation SS 17
  • Seminar Telekooperation WS 17/18


1 Entries found


Optimizing holon-based energy networks using Particle Swarm Optimization

Bachelor Thesis

in progress

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