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CoSES Laboratory for Combined Energy Systems At TU Munich

Published in , 2020

CoSES Laboratory for Combined Energy Systems At TU Munich

2020 IEEE Power & Energy Society General Meeting (PESGM), 2020

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Recommended citation: V. Peric, T. Hamacher, A. Mohapatra, F. Christange, D. Zinsmeister, P. Tzscheutschler, U. Wagner, C. Aigner, R. Witzmann. "CoSES Laboratory for Combined Energy Systems At TU Munich". 2020 IEEE Power & Energy Society General Meeting (PESGM), 2020.

Formal Verification of Grid Frequency Controllers

Published in , 2021

Formal Verification of Grid Frequency Controllers

Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe, Espoo, 2021

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Recommended citation: A. Mohapatra, V. Peric, T. Hamacher. "Formal Verification of Grid Frequency Controllers". Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe, Espoo, 2021.

IoT Integration for Combined Energy Systems at the CoSES Laboratory

Published in , 2021

IoT Integration for Combined Energy Systems at the CoSES Laboratory

Proceedings of 7th IEEE World Forum on Internet of Things, WF-IoT 2021, 2021

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Recommended citation: M. Mayer, A. Mohapatra, V. Peric. "IoT Integration for Combined Energy Systems at the CoSES Laboratory". Proceedings of 7th IEEE World Forum on Internet of Things, WF-IoT 2021, 2021.

PHIL Infrastructure in CoSES Microgrid Laboratory

Published in , 2022

PHIL Infrastructure in CoSES Microgrid Laboratory

Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, Novi Sad, 2022

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Recommended citation: A. Mohapatra, T. Hamacher, V. Peric. "PHIL Infrastructure in CoSES Microgrid Laboratory". Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, Novi Sad, 2022.

PHIL implementation of a decentralized online OPF for active distribution grids

Published in , 2022

PHIL implementation of a decentralized online OPF for active distribution grids

Proceedings of IEEE Power and Energy Society General Meeting 2022, Denver, 2022

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Recommended citation: M. Cornejo, A. Mohapatra, S. Candas, V. Peric. "PHIL implementation of a decentralized online OPF for active distribution grids". Proceedings of IEEE Power and Energy Society General Meeting 2022, Denver, 2022.

Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination

Published in , 2023

Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination

Applied Energy, 2023

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Recommended citation: S. Candas, B. Reveron Baecker, A. Mohapatra, T. Hamacher. "Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination". Applied Energy, 2023.

Consideration of round-trip electric car-sharing in residential energy system modeling

Published in , 2024

Consideration of round-trip electric car-sharing in residential energy system modeling

Proceedings of 2024 IEEE PES Innovative Smart Grid Technologies Europe, Dubrovnik, 2024

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Recommended citation: A. Mohapatra, J. Achatz, T. Hamacher. "Consideration of round-trip electric car-sharing in residential energy system modeling". Proceedings of 2024 IEEE PES Innovative Smart Grid Technologies Europe, Dubrovnik, 2024.

Low-Voltage Grid Control Based On Data-Driven State Estimation and Reinforcement Learning

Published in , 2024

Low-Voltage Grid Control Based On Data-Driven State Estimation and Reinforcement Learning

2024 IEEE Power \& Energy Society General Meeting (PESGM), 2024

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Recommended citation: H. \"Ozlemiş, E. Mora, J. Schubert, A. Mohapatra, M. Duckheim, S. Niessen. "Low-Voltage Grid Control Based On Data-Driven State Estimation and Reinforcement Learning". 2024 IEEE Power \& Energy Society General Meeting (PESGM), 2024.

A Reproducible Open-Data Pipeline for Synthetic Low-Voltage Grid Generation in Germany

Published in PESS 2025; IEEE Power and Energy Student Summit, 2025

A Reproducible Open-Data Pipeline for Synthetic Low-Voltage Grid Generation in Germany

PESS 2025; IEEE Power and Energy Student Summit, 2025

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Recommended citation: B. Baecker, K. Kalkan, P. Buchenberg, A. Mohapatra, T. Hamacher. "A Reproducible Open-Data Pipeline for Synthetic Low-Voltage Grid Generation in Germany". PESS 2025; IEEE Power and Energy Student Summit, 2025.

Recommended citation: B. Baecker, K. Kalkan, P. Buchenberg, A. Mohapatra, T. Hamacher. "A Reproducible Open-Data Pipeline for Synthetic Low-Voltage Grid Generation in Germany". <em>PESS 2025; IEEE Power and Energy Student Summit</em>, 2025.

Fast, Interpretable, and Agnostic-PISR Voltage Control on a Low-Voltage Grid

Published in Authorea Preprints, 2025

Fast, Interpretable, and Agnostic-PISR Voltage Control on a Low-Voltage Grid

Authorea Preprints, 2025

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Recommended citation: S. Eichhorn, A. Mohapatra, R. Tonkoski. "Fast, Interpretable, and Agnostic-PISR Voltage Control on a Low-Voltage Grid". Authorea Preprints, 2025.

Recommended citation: S. Eichhorn, A. Mohapatra, R. Tonkoski. "Fast, Interpretable, and Agnostic-PISR Voltage Control on a Low-Voltage Grid". <em>Authorea Preprints</em>, 2025.

Graph Neural Network Surrogates for Energy System Modeling

Published in , 2025

Graph Neural Network Surrogates for Energy System Modeling

accepted in 2025 IEEE ISGT Europe, 2025

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Recommended citation: G. Pjetri, A. Mohapatra, B. Reveron Baecker, M. Hock, T. Hamacher. "Graph Neural Network Surrogates for Energy System Modeling". accepted in 2025 IEEE ISGT Europe, 2025.

Integration of PV and V2G Technology in an Island Grid: A Real-Time Simulation Study of Kastellorizo

Published in PESS 2025; IEEE Power and Energy Student Summit, 2025

Integration of PV and V2G Technology in an Island Grid: A Real-Time Simulation Study of Kastellorizo

PESS 2025; IEEE Power and Energy Student Summit, 2025

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Recommended citation: L. Konstantellos, A. Mohapatra, T. Kavvathas, G. Konstantopoulos, T. Hamacher. "Integration of PV and V2G Technology in an Island Grid: A Real-Time Simulation Study of Kastellorizo". PESS 2025; IEEE Power and Energy Student Summit, 2025.

Recommended citation: L. Konstantellos, A. Mohapatra, T. Kavvathas, G. Konstantopoulos, T. Hamacher. "Integration of PV and V2G Technology in an Island Grid: A Real-Time Simulation Study of Kastellorizo". <em>PESS 2025; IEEE Power and Energy Student Summit</em>, 2025.

PISR: Physics-Informed Symbolic Regression for Predicting Power System Voltage

Published in , 2025

PISR: Physics-Informed Symbolic Regression for Predicting Power System Voltage

Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025

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Recommended citation: S. Eichhorn, A. Mohapatra, C. Goebel. "PISR: Physics-Informed Symbolic Regression for Predicting Power System Voltage". Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025.

Reinforcement Learning for Cost-Efficient Energy Management under Dynamic Pricing: CoSES Building Case Study

Published in PESS 2025; IEEE Power and Energy Student Summit, 2025

Reinforcement Learning for Cost-Efficient Energy Management under Dynamic Pricing: CoSES Building Case Study

PESS 2025; IEEE Power and Energy Student Summit, 2025

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Recommended citation: Z. Nezet, M. Kazemi, C. Papadimitriou, A. Mohapatra. "Reinforcement Learning for Cost-Efficient Energy Management under Dynamic Pricing: CoSES Building Case Study". PESS 2025; IEEE Power and Energy Student Summit, 2025.

Recommended citation: Z. Nezet, M. Kazemi, C. Papadimitriou, A. Mohapatra. "Reinforcement Learning for Cost-Efficient Energy Management under Dynamic Pricing: CoSES Building Case Study". <em>PESS 2025; IEEE Power and Energy Student Summit</em>, 2025.

Towards Automatic Parameterization of Online Feedback Optimization for Autonomous Low-Voltage Distribution Grids

Published in , 2025

Towards Automatic Parameterization of Online Feedback Optimization for Autonomous Low-Voltage Distribution Grids

2025 IEEE PowerTech Kiel, 2025

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Recommended citation: J. Schubert, A. Allmeta, E. Mora, A. Mohapatra, M. Duckheim, S. Niessen. "Towards Automatic Parameterization of Online Feedback Optimization for Autonomous Low-Voltage Distribution Grids". 2025 IEEE PowerTech Kiel, 2025.

Unity Game Engine as a Simulation Platform: Voltage Regulation in 3D Low-Voltage Networks

Published in PESS 2025; IEEE Power and Energy Student Summit, 2025

Unity Game Engine as a Simulation Platform: Voltage Regulation in 3D Low-Voltage Networks

PESS 2025; IEEE Power and Energy Student Summit, 2025

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Recommended citation: S. Poudel, P. Ghimire, A. Mohapatra, H. Li, D. Hummels, R. Tonkoski. "Unity Game Engine as a Simulation Platform: Voltage Regulation in 3D Low-Voltage Networks". PESS 2025; IEEE Power and Energy Student Summit, 2025.

Recommended citation: S. Poudel, P. Ghimire, A. Mohapatra, H. Li, D. Hummels, R. Tonkoski. "Unity Game Engine as a Simulation Platform: Voltage Regulation in 3D Low-Voltage Networks". <em>PESS 2025; IEEE Power and Energy Student Summit</em>, 2025.

Assessing grid-oriented flexibility of heat pumps in cold periods: Evidence from 761 residential heat pumps in Southern Germany

Published in Energy, 2026

Assessing grid-oriented flexibility of heat pumps in cold periods: Evidence from 761 residential heat pumps in Southern Germany

Energy, 2026

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Recommended citation: T. Haupt, M. Male, A. Mohapatra, T. Hamacher. "Assessing grid-oriented flexibility of heat pumps in cold periods: Evidence from 761 residential heat pumps in Southern Germany". Energy, 2026.

Recommended citation: T. Haupt, M. Male, A. Mohapatra, T. Hamacher. "Assessing grid-oriented flexibility of heat pumps in cold periods: Evidence from 761 residential heat pumps in Southern Germany". <em>Energy</em>, 2026.

From Co-Simulation to Composition: A Data-Driven Transformer with OLTC for Scalable Open-Source Power System Modeling

Published in 2026 Open Source Modelling and Simulation of Energy Systems (OSMSES), 2026

From Co-Simulation to Composition: A Data-Driven Transformer with OLTC for Scalable Open-Source Power System Modeling

2026 Open Source Modelling and Simulation of Energy Systems (OSMSES), 2026

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Recommended citation: S. Eichhorn, D. Dullius, A. Mohapatra, R. Tonkoski. "From Co-Simulation to Composition: A Data-Driven Transformer with OLTC for Scalable Open-Source Power System Modeling". 2026 Open Source Modelling and Simulation of Energy Systems (OSMSES), 2026.

Recommended citation: S. Eichhorn, D. Dullius, A. Mohapatra, R. Tonkoski. "From Co-Simulation to Composition: A Data-Driven Transformer with OLTC for Scalable Open-Source Power System Modeling". <em>2026 Open Source Modelling and Simulation of Energy Systems (OSMSES)</em>, 2026.

Real-world self-adaptive digital twin: An example of commercial air-source heat pump

Published in Energy and AI, 2026

Real-world self-adaptive digital twin: An example of commercial air-source heat pump

Energy and AI, 2026

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Recommended citation: K. Fu, U. Ganslmeier, A. Mohapatra, R. Song, T. Hamacher. "Real-world self-adaptive digital twin: An example of commercial air-source heat pump". Energy and AI, 2026.

Recommended citation: K. Fu, U. Ganslmeier, A. Mohapatra, R. Song, T. Hamacher. "Real-world self-adaptive digital twin: An example of commercial air-source heat pump". <em>Energy and AI</em>, 2026.

Deep learning surrogates for low-voltage grid planning

Published in Electric Power Systems Research, 2027

Deep learning surrogates for low-voltage grid planning

Electric Power Systems Research, 2027

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Recommended citation: E. Hanser, A. Mohapatra, B. Baecker, T. Hamacher. "Deep learning surrogates for low-voltage grid planning". Electric Power Systems Research, 2027.

Recommended citation: E. Hanser, A. Mohapatra, B. Baecker, T. Hamacher. "Deep learning surrogates for low-voltage grid planning". <em>Electric Power Systems Research</em>, 2027.

talks

Harmonic estimation on decentralized real-time controllers

Published:

Can we measure power, for PHIL-grade feedback, by combining voltage and current measurements from two different controllers? We present a signal analysis method that allows synchronized controllers to share accurate measurements despite communication delays and unknown signal harmonics.

PHIL Heat-pump for sector coupling experiments

Published:

We address the challenge of testing heat pumps in power system laboratories, which often lack the necessary hardware and expertise to model heat prosumers. We present a virtual heat pump on a PHIL amplifier to accurately test how heat pumps can provide grid services, like fast frequency response.

M-Class PMU on general purposed embedded controllers

Published:

We show that a standard inverter controller can become an M-Class Phasor Measurement Unit (PMU) with just a software update. This approach adds grid monitoring functions to existing hardware without needing extra wiring or instrumentation, using the controller’s available processing power.

Grid-connected, data-driven inverter control

Published:

A talk regarding our recent work with the Dörfler group at ETH Zürich. Can a purely data-driven (NOT machine learning!) controller work on a grid-connected inverter - without any knowledge of the inverter or grid dynamics?

PHIL in Sector coupling

Published:

Everybody knows what Power-Hardware-in-the-Loop (PHIL) looks like in a power systems laboratory. But can it be used in sector-coupling research? What does PHIL for the heat prosumers and grid look like?

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PhyLFlex HEMS Benchmarking

Published:

This symposium talk presents benchmarking work from PhyLFlex HEMS, focusing on how home energy-management strategies can be compared consistently across experimental setups, test cases, and control objectives.

PHIL for benchmarking and heating grids

Published:

How can PHIL experiments be made useful for benchmarking across coupled electricity and heating-grid studies? This talk focuses on reproducible PHIL setups and on making results comparable across laboratories, scenarios, and controller designs.

Surrogates for Energy System Modeling Frameworks

Published:

Can surrogate models make energy-system modeling frameworks faster? Well yes. But are these serious ideas? Can we do it with the amount of data we generally have in our workflows? Can we realistically scale it for the whole country? Can we make them predict voltages as well?

District Heating Systems Laboratory Infrastructure - Key features, challenges and notable examples from Europe

Published:

I just love laboratories - I find it fascinating to compare them and position them in the broader research landscape. Always know what your tool can exactly do. So, what does a useful district-heating laboratory need beyond just hardware? This invited talk highlights key infrastructure features, practical implementation challenges, and notable European examples that make district-heating labs valuable for experimental energy-systems research.

Deep Learning Surrogates For Low-Voltage Grid Expansion Planning

Published:

How can deep-learning surrogates speed up low-voltage grid expansion planning without losing the system behavior that planners care about? Can we generate such models with completely open-sourced, verifiable datasets? Even if you are not into ML, maybe just our data-generation tool is interesting all by itself - the most fun I have ever had working on an idea.

teaching