Martin Pietsch

M.Sc. Martin Pietsch

Distribution Grid Restoration

+49 (0) 6151 16-21719
fax +49 (0) 6151 16-21712

S3|10 310
Landgraf-Georg-Str. 4
64283 Darmstadt

Research Interest

General Research Interest:

  • Distribution Grid Restoration
  • Optimisation of Grid Restoration Sequences
  • Resilience enhancement and
  • Post disaster measures

Research Project:

Even though the german electricity grid has been highly reliable for years, the supply risks are increasing. While extreme weather events present growing physical threats to the grids infrastructure, the electricity grids rising degree of digitalisation and decentralised renewable energies pose both, risks and chances for electricity supply. Grid overloads, due to excess supply of renewable power production and hacker attacks on digitalised power plant- and grid-control show real risks to supply reliability. At the same time, decentralised electricity generation from renewable energies and smart digitalised grid- and power plant-operations make a valuable contribution to the energy transition and offer new opportunities to improve the resilience of the electricity supply in crisis situations. 

These possibilities are investigated within the program cyber-pyhsical systems (CPS1) of the emergenCITYcenter, funded by the LOEWE initiative (Hesse, Germany). Based on the digital city of the future, we tackle the questions on how to maintain its functionalities even in extreme situations, crises and disasters and to increase the reliability of its critical infrastructure in the digital context. Considering the interdependencies of energy, communication and water infrastructure we formulate optimisation problems as mixed integer linear programs to find optimal switching sequences of digitalised grid components.


Open theses

Supervisor: Martin Pietsch
Earliest start: immediately
Type: Master Theses

The central planner optimization approach of a recent publication on sequential grid restoration by merging microgrids under communication constraints is to be reformulated, into a distributed algorithm that can be executed in each microgrid separately. The algorithm is supposed to ensure a distributed restoration of the electricity grid independent of information of the grid- topology and state. Reducing the optimization problem to distributed microgrids leads to more realistic scenarios, at the possible expense of optimality. Suitable evaluation criteria (e.g. pareto principle) must be identified and, if necessary, formulated in order to classify and compare the results to other work. In order to do so, the centralized optimizatio n of the whole grid over all timesteps needs to be reduced to each microgrid and its discrete decisions possibilities in each timestep.

Short Bio

  • Since 2019: PhD student at EINS

  • 2017-2019 M.Sc. Energy Engineering at RWTH Aachen
    Field of specialisation: Renewable Energies

  • 2011-2017 B.Sc Mechanical Engineering at RWTH Aachen:
    Field of specialisation: Energy Engineering


Towards a Common Ontology for Investigating Resilience of Interdependent Urban Systems

Michaela Lestakova ; Kevin Logan ; Imke Lorenz ; Martin Pietsch ; John Friesen ; Florian Steinke ; Peter F. Pelz :
Towards a Common Ontology for Investigating Resilience of Interdependent Urban Systems.
In: Proceedings of the Joint International Resilience Conference, JIRC2020, 23.11.2020-27.11.2020, Online Event, P. 101-104, ISBN 978-90-365-5095-6, Twente,
[Conference Contribution] [TUDBiblio][BibTeX], (2020)

Merging Microgrids for Optimal Distribution Grid Restoration under Explicit Communication Constraints

Martin Pietsch ; Anja Klein ; Florian Steinke :
Merging Microgrids for Optimal Distribution Grid Restoration under Explicit Communication Constraints.
In: Resilience Week 2020 Symposium, virtual Conference, 19.-23.10., P. 48-54, ISBN 978-1-7281-8694-8,
DOI: 10.1109/RWS50334.2020.9241251,
[Conference Contribution] [TUDBiblio][BibTeX], (2020)