Edwin Mora

Dr.-Ing. Edwin Mora

Resilient grid automation systems

Darmstadt

Research Interest

General research interests:

  • Optimal large scale control systems
  • Machine learning
  • Modeling and simulation of high-impact, low-probability (HILP) events

Research project:

Classical power grids are turning to more complex and networked cyberphysical systems (CPS). In this context, we investigate how to minimize the number of controller and measurement devices required for fulfilling a known set of operational requirements. Identifying such critical elements is of paramount importance in order to enhance the resilience of complex CPSs to high-impact, low-probability (HILP) events, e.g. natural catastrophes or cyber attacks.

In our research we exploit tools from optimal control theory and convex optimization such like (mixed-integer) linear programming, semidefinite programming, and dynamic programming.

This project is funded by the German Ministry of Education and Research (German: BMBF) and is done in cooperation with Siemens AG and Entega AG. See AlgoRes for more details.

Short Bio

  • 2018 – 2022: PhD student at EINS
  • 2016 – 2018: M.Sc. Electrical Engineering and Information Technology at TU-Darmstadt
  • 2010 – 2015: B.Sc. Electronic Engineering at National University of Colombia in cooperation with TU-Darmstadt

Publications

Admissible Control Laws for Constrained Linear Power Flow: The General Case

[Journal]
Edwin Mora; Florian Steinke :
Admissible Control Laws for Constrained Linear Power Flow: The General Case.
In: IEEE Transactions on Power Systems , PDF, 2023

Robust voltage regulation for active distribution networks with imperfect observability

[Conference]
Edwin Mora; Florian Steinke :
Robust voltage regulation for active distribution networks with imperfect observability.
In: 14th IEEE PowerTech Conference, virtual Conference, 2021

On the minimal set of controllers and sensors for linear power flow

[Journal]
Edwin Mora; Florian Steinke :
On the minimal set of controllers and sensors for linear power flow.
In: Elsevier ScienceDirect Electric Power Systems Research 190 , 2021

Decentralized Data-Driven Tuning of Droop Frequency Controllers applied to a Non-Linear Grid Model

[Conference]
Allan Santos; Edwin Mora; Jan Peters; Florian Steinke :
Decentralized Data-Driven Tuning of Droop Frequency Controllers applied to a Non-Linear Grid Model.
In: PESS 2020 : IEEE Power and Energy Student Summit : conference proceedings, virtual Conference, 2020

Decentralized Data-Driven Tuning of Droop Frequency Controllers

[Conference]
Allan Santos; Edwin Mora; Jan Peters; Florian Steinke :
Decentralized Data-Driven Tuning of Droop Frequency Controllers.
In: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), virtual Conference, 2020

Computing sparse affine-linear control policies for linear power flow in microgrids

[Conference]
Edwin Mora; Florian Steinke :
Computing sparse affine-linear control policies for linear power flow in microgrids.
In: Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), virtual Conference, 2020

Minimal Control of Constrained, Partially Controllable & Observable Linear Systems

[Journal]
Edwin Mora; Florian Steinke :
Minimal Control of Constrained, Partially Controllable & Observable Linear Systems.
In: Elsevier IFAC-PapersOnLine 53 (2), P. 4521-4526, 2020

On the minimal set of controllers and sensors for linear power flow

[Conference]
Edwin Mora; Florian Steinke :
On the minimal set of controllers and sensors for linear power flow.
In: 21st Power Systems Computation Conference (PSCC 2020), virtual Conference, 2020