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 


Mitigating Brown-Outs: Fair Distribution of Locally Sourced Energy in Smart Grids

Author Rolf Egert, Florian Volk, Jörg Daubert, Max Mühlhäuser
Date May 2017
Kind Inproceedings
Book titleThe Seventh International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies - ENERGY 2017
KeywordsSmart Grid;Micro Gird; Demand and Response; Fairness; Electrical Grid; Optimization
Research Areas SPIN: Smart Protection in Infrastructures and Networks, Telecooperation, Fachbereich Informatik
Abstract <div>The introduction of more and more local and distributed energy resources (DER) into the current centralized electrical grid poses new challenges to energy distribution. DERs are significantly smaller in production capabilities than central power plants and their production is highly fluctuating. This means that their influence on the electrical grid is difficult to plan for, especially in brown-out situations, when there is not enough energy available to supply all consumers. This work focuses on the subproblem of fair electricity distribution in brown-out phases. Currently, network segments are switched on and off in a round-robin manner, regardless if there are local producers in these segments or not. However, enabling segments that include local producers more often would improve the overall amount of energy available during the brown-out phases, and thus, this measure would increase the number of supplied consumers. We propose new algorithms that leverage the power of local producers, but still keep a fair energy distribution for all consumers. Therefore, we evolve the current notion of fairness to improve the overall quality of service by taking into account equal supply times as well as maximizing the number of supplied consumers. The proposed algorithms are compared to the current state of the art approach in the German electrical grid. Therefore, extensive simulations based on real-world lowvoltage residential area networks were conducted. The results indicate an improved quality of service during brown-out phases. Moreover, the proposed method is not limited to low-voltage residential areas, but also applies to all hierarchy levels of the energy grid, ranging from the distribution grid down to future households implementing smart grid technologies.</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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