Florian Steinke

Prof. Dr. Florian Steinke

+49 (0) 6151 16-21711
fax +49 (0) 6151 16-21712

S3|10 306
Landgraf-Georg-Str. 4
64283 Darmstadt

Research Interest

Applying algorithms and tools from machine learning, optimization, and control to energy management problems such as energy system design, energy system operation, and energy automation.

Short Bio

Florian Steinke is a full professor at TU Darmstadt and heads the Energy Information Networks & Systems lab since 2017.

Prior to this, he was with Siemens Corporate Technology, Automation & Control, in Munich from 2009-2017. He lead the development of a functional architecture & algorithms for an island grid control system with up to 100% renewables, lead the development for a multimodal energy system analysis & optimization tool for studying complete countries as well as specific hybrid energy projects, and contributed to several other research projects in the energy domain, but also for hearing aids, ore grinding mills, intelligent traffic control systems, and semantic web computing. In 2009, he received a PhD for his work at the Max-Planck-Institute for Biological Cybernetics, Tübingen (departement now in MPI for Intelligent Systems), in Machine Learning. In 2005, he obtained a Diploma degree in Computational Physics from the Eberhardt-Karls-Universität Tübingen

Since 2018, Florian Steinke is the spokesman of the profile area "Future Energy Systems" of the Technical University Darmstadt. He is a member of the IEEE/PES and the German engineering society VDE/ETG. He serves in the VDE/ETG working group V1 on Generation as well as two CIGRE's WGs on Power Systems Planning under Uncertainty and on Operating Strategies and Preparedness for System Operational Resilience. He received the DAGM Student Award for the best diploma thesis in pattern recognition in 2005 and the Siemens PG IE Innovation Award 2014 for his works on island grids.

Publications

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

Edwin Mora ; Florian Steinke :
On the minimal set of controllers and sensors for linear power flow.
In: Electric Power Systems Research, ISSN 0378-7796,
DOI: https://doi.org/10.1016/j.epsr.2020.106647,
[Article] [TUDBiblio][BibTeX], (2021)

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

Allan Santos ; Edwin Mora ; Jan Peters ; Florian Steinke :
*accepted* Decentralized Data-Driven Tuning of Droop Frequency Controllers applied to a Non-Linear Grid Model.
To appear in: Power and Energy Student Summit (PESS 2020), Virtual Conference, 05.-07.10.,
[Conference Contribution] [TUDBiblio][BibTeX], (2020)

Minimal Control of Constrained, Partially Controllable & Observable Linear Systems

Edwin Mora ; Florian Steinke :
Minimal Control of Constrained, Partially Controllable & Observable Linear Systems.
In: IFAC World Congress 2020 (1st Virtual IFAC World Congress), virtual Conference, 12.-17.07.,
[Conference Contribution] [TUDBiblio][BibTeX], (2020)

Flexible Redundancy Generation for Virtual Network Embedding with an Application to Smart Grids

Allan Santos ; Amr Rizk ; Florian Steinke :
Flexible Redundancy Generation for Virtual Network Embedding with an Application to Smart Grids.
In: 11th ACM International Conference on Future Energy Systems (ACM e-Energy '20), virtual Conference, 22.-26.06., P. 97-105, ISBN 978-1-4503-8009-6,
DOI: https://doi.org/10.1145/3396851.3397693,
[Conference Contribution] [TUDBiblio][BibTeX], (2020)

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

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, 29.06-03.07.,
[Conference Contribution] [TUDBiblio][BibTeX], (2020)

Decentralized Data-Driven Tuning of Droop
Frequency Controllers

Allan Santos ; Edwin Mora ; Jan Peters ; Florian Steinke :
*accepted* Decentralized Data-Driven Tuning of DroopFrequency Controllers.
To appear in: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), virtual Conference, 25.-28.10.20,
[Conference Contribution] [TUDBiblio][BibTeX], (2020)

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

Edwin Mora ; Florian Steinke :
*accepted* Computing sparse affine-linear control policies for linear power flow in microgrids.
To appear in: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), The Hague, Netherlands, 25.-28.10.20,
[Conference Contribution] [TUDBiblio][BibTeX], (2020)

Probabilistic multivariate electricity price forecasting using implicit generative ensemble post-processing

Tim Janke ; Florian Steinke :
Probabilistic multivariate electricity price forecasting using implicit generative ensemble post-processing.
In: 16th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), virtual Conference, 18.-21.08.20,
[Conference Contribution] [TUDBiblio][BibTeX], (2020)

On the Resilience of Secondary Frequency Control

Johannes Börner ; Florian Steinke :
On the Resilience of Secondary Frequency Control.
In: ETG-Kongress 2019 - Das Gesamtsystem im Fokus der Energiewende, Esslingen am Neckar, Germany, 08.-09.Mai 2019,
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Maschinelles Lernen für den Betrieb und die Planung von Energiesystemen

Florian Steinke :
Maschinelles Lernen für den Betrieb und die Planung von Energiesystemen.
In: House of Energy Kongress: Energie im Wandel erfahren, Frankfurt,
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Harvesting the Flexibility of Distributed Multi-Modal Energy Management Systems through an Iterative Local  Energy Market

Sebastian Schreck ; S. Thiem ; A. Amthor ; L. Wagner ; J. Schäfer ; S. Nießen ; Florian Steinke :
Harvesting the Flexibility of Distributed Multi-Modal Energy Management Systems through an Iterative Local Energy Market.
In: International Renewable Energy Storage Conference (IRES 2019),
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Efficient Sensitivity Analysis for MPC Controlled Multimodal Energy Systems

Florian Steinke ; Christopher Ripp :
Efficient Sensitivity Analysis for MPC Controlled Multimodal Energy Systems.
In: GMA-Fachausschuss 1.50 "Grundlagen vernetzter Systeme", In: GMA-Fachausschuss 1.50 "Grundlagen vernetzter Systeme",
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Balancing power potential of pools of small-scale units

Jonas Hülsmann ; Christopher Ripp ; Florian Steinke :
Balancing power potential of pools of small-scale units.
In: 16th International Conference on the European Energy Market, Ljubljana, Slovenia, 18-20 Sept. 2019,
DOI: 10.1109/EEM.2019.8916477,
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Is Resilience the Real Driver for Decentral Intelligence in Energy?

Florian Steinke :
Is Resilience the Real Driver for Decentral Intelligence in Energy?.
In: International Conference on Urban Infrastructures: Criticality, Vulnerability and Protection, Darmstadt, Darmstadt,
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Sensitivity analysis of linear programming economic dispatch models

Christopher Ripp ; Florian Steinke :
Sensitivity analysis of linear programming economic dispatch models.
In: ETG-Kongress 2019 - Das Gesamtsystem im Fokus der Energiewende, Esslingen am Neckar, Germany, 08.-09.Mai 2019,
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Nonlinear consensus for improved resilience of distributed secondary frequency control

Johannes Börner ; Simon Scheurich ; Florian Steinke :
Nonlinear consensus for improved resilience of distributed secondary frequency control.
In: 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, Romania, 29 Sept.-02 Oct. 2019,
DOI: 10.1109/ISGTEurope.2019.8905501,
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Bayesian Inference with MILP Dispatch Models for the Probabilistic Prediction of Power Plant Dispatch

Mario Beykirch ; Tim Janke ; Florian Steinke :
Bayesian Inference with MILP Dispatch Models for the Probabilistic Prediction of Power Plant Dispatch.
In: 16th International Conference on the European Energy Market (EEM), Ljubljana, Slovenia, 18.09.2019 - 20.09.2019,
DOI: 10.1109/EEM.2019.8916530,
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Comparison of Two Day-Ahead Offering Strategies for a Flexible CHP Plant in Germany

Simon Ackermann ; Andrei Szabo ; Simon Paulus ; Florian Steinke :
Comparison of Two Day-Ahead Offering Strategies for a Flexible CHP Plant in Germany.
In: 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, Romania, 29 Sept.-02 Oct. 2019,
DOI: 10.1109/ISGTEurope.2019.8905452,
[Conference Contribution] [TUDBiblio][BibTeX], (2019)

Distributed Secondary Frequency Control via Price Consensus

Johannes Börner ; Florian Steinke :
Distributed Secondary Frequency Control via Price Consensus.
In: 8th IEEE PES Innovative Smart Grid Technologies Conference Europe, Sarajevo, Bosnia and Herzegovina, 21.-25.Oct. 2018,
DOI: 10.1109/ISGTEurope.2018.8571893,
[Conference Contribution] [TUDBiblio][BibTeX], (2018)

A Novel Algorithm for the Fast and Accurate
Quantile Computation in Probabilistic Power Flow

S. Ackermann ; M. Buhl ; M. Lindner ; F. Steinke :
A Novel Algorithm for the Fast and AccurateQuantile Computation in Probabilistic Power Flow.
In: PESGM'18- IEEE Power & Energy Society General Meeting, Portland, USA, 05.-10. Aug. 2018,
DOI: 10.1109/PESGM.2018.8585891,
[Conference Contribution] [TUDBiblio][BibTeX], (2018)

CO2 reduzieren mit Power-to-Heat: Woher weiß ich wann?

Florian Steinke ; Christopher Ripp :
CO2 reduzieren mit Power-to-Heat: Woher weiß ich wann?.
In: 4. Dialogplattform Power-to-Heat (VDE), Berlin, Deutschland, 11.-12.06.2018,
[Conference Contribution] [TUDBiblio][BibTeX], (2018)

Modeling Time-dependent CO_2 Intensities in Multi-modal Energy Systems with Storage

Christopher Ripp ; Florian Steinke :
Modeling Time-dependent CO_2 Intensities in Multi-modal Energy Systems with Storage.
In: ArXiv e-prints,
[Article] [TUDBiblio][BibTeX], (2018)

A First Shot at Time-Dependent CO2 Intensities in Multi-Modal Energy Systems

Christopher Ripp ; Florian Steinke :
A First Shot at Time-Dependent CO2 Intensities in Multi-Modal Energy Systems.
In: 2018 15th International Conference on the European Energy Market (EEM), Lodz, Poland, June 27–June 29, 2018, P. 1-5, ISSN 2165-4093,
DOI: 10.1109/EEM.2018.8469841,
[Conference Contribution] [TUDBiblio][BibTeX], (2018)

A Computationally Efficient Method for Risk
Averse Scheduling of Hybrid Power Plants

Simon Ackermann ; Andrei Szabo ; Florian Steinke :
A Computationally Efficient Method for RiskAverse Scheduling of Hybrid Power Plants.
In: 8th IEEE PES Innovative Smart Grid Technologies Conference Europe, Sarajevo, Bosnia-Herzegovina, 21.-25.10.2018,
DOI: 10.1109/ISGTEurope.2018.8571453,
[Conference Contribution] [TUDBiblio][BibTeX], (2018)

Learning Dispatch Parameters of Thermal Power Plants from Observations

Mario Beykirch ; Tim Janke ; Florian Steinke :
Learning Dispatch Parameters of Thermal Power Plants from Observations.
In: 8th IEEE PES Innovative Smart Grid Technologies Conference Europe, Sarajevo, Bosnia-Herzegovina, 21.-25.10.2018,
DOI: 10.1109/ISGTEurope.2018.8571825,
[Conference Contribution] [TUDBiblio][BibTeX], (2018)

Incentivizing the adoption of local flexibility options: A quantitative case study

Tim Janke ; Bastian Brindley ; Tobias Rodemann ; Florian Steinke :
Incentivizing the adoption of local flexibility options: A quantitative case study.
In: 15th International Conference on the European Energy Market (EEM'18), Lodz, Poland, 27.-29. June 2018,
DOI: 10.1109/EEM.2018.8469854,
[Conference Contribution] [TUDBiblio][BibTeX], (2018)

­­­A full list of past publications of Florian Steinke can be found here. A selection of older key contributions is:


Energy System Design


  • Steinke, F., P. Wolfrum and C. Hoffmann: Grid vs. storage in a 100% renewable Europe, Renewable Energy 50, 826-832, (2013) DOI  
  • Schaber, K., F. Steinke and T. Hamacher: Grid Extensions for the Integration of Variable Renewable Energies in Europe: Who Benefits Where?, Energy Policy 43, 123-135, (2012) DOI     
  • Knorr, K.; Zimmermann, B.; Kirchner, D.; Speckmann, M.; Spieckermann, R.; Widdel, M.; Wunderlich, M.; Mackensen, R.; Rohrig, K.; Steinke, F.; Wolfrum, P.; Leveringhaus, T.; Lager, T.; Hofmann, L.; Filzek, D.; Göbel, T.; Kusserow, B.; Nicklaus, L.; Ritter, P. (2014): Kombikraftwerk 2 / RegenerativKraftwerk 2050: Wege zu einer 100%-Versorgung mit erneuerbaren Energien - Abschlussbericht, Pilotprojekt unter Förderung des Bundesministeriums für Umwelt, Naturschutz und Reaktorsicherheit, (08 2014) Link

Energy Systems Operation


  • Kellerer, E., Steinke, F.: Scalable Economic Dispatch for Smart Distribution Networks, IEEE Transaction on Power Systems 30(4), 1739-1746, (2015) DOI     
  • U. Münz, M. Metzger, A. Szabo, F. Steinke, P. Wolfrum, R. Sollacher, D. Obradovic, M. Buhl, T. Lehmann, M. Duckheim, and S. Langemeyer: Overview of Control Technologies for Future Power Systems – An industry perspective, at - Automatisierungstechnik, 869–882, (2015) DOI     
  • Auer, S., F. Steinke, Chunsen, X., Sollacher, R. and Szabo, A.: Can Distribution Grids Significantly Contribute to Transmission Grids' Voltage Management?, IEEE PES Innovative Smart Grid Technologies, Europe (ISGT Europe 2016), Ljubljana, Slovenia (2016) DOI

Machine Learning


  • Steinke, F., M. Hein and B. Schölkopf: Non-parametric Regression between General Riemannian Manifolds, SIAM Journal on Imaging Sciences (SIIMS) 3(3), 527-563, (09 2010) PDF
  • Steinke, F. and B. Schölkopf: Kernels, Regularization and Differential Equations. Pattern Recognition 41(11), 3271-3286 (11 2008) PDF     
  • Steinke, F., M. Seeger and K. Tsuda: Experimental design for efficient identification of gene regulatory networks using sparse Bayesian models. BMC Systems Biology 1(51), 1-15 (11 2007) PDF