Published in , 2020
CoSES Laboratory for Combined Energy Systems At TU Munich
2020 IEEE Power & Energy Society General Meeting (PESGM), 2020
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.
Published in , 2021
Formal Verification of Grid Frequency Controllers
Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe, Espoo, 2021
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.
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
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.
Published in , 2022
Fast harmonic analysis for PHIL experiments with decentralized real-time controllers
Electric Power Systems Research, 2022
Recommended citation: E. Sezgin, A. Mohapatra, T. Hamacher, Ö. Salor, V. Perić. "Fast harmonic analysis for PHIL experiments with decentralized real-time controllers". Electric Power Systems Research, 2022.
Published in , 2022
PHIL Infrastructure in CoSES Microgrid Laboratory
Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, Novi Sad, 2022
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.
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
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.
Published in , 2023
M-Class PMU for General Purpose Embedded Controllers in NI Veristand Environment
Proceedings of 2023 IEEE Belgrade PowerTech, 2023
Recommended citation: A. Mohapatra, S. Büttner, G. Bumiller, T. Hamacher, V. Perić. "M-Class PMU for General Purpose Embedded Controllers in NI Veristand Environment". Proceedings of 2023 IEEE Belgrade PowerTech, 2023.
Published in , 2023
Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination
Applied Energy, 2023
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.
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
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.
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
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.
Published in , 2024
Power-hardware-in-the-loop validation of air-source heat pump for fast frequency response applications
Electric Power Systems Research, 2024
Recommended citation: R. Song, A. Mohapatra, T. Hamacher, V. Perić. "Power-hardware-in-the-loop validation of air-source heat pump for fast frequency response applications". Electric Power Systems Research, 2024.
Published in , 2025
Application-oriented Digital Twin for Integrated Energy System: A Review
manuscript under review, 2025
Recommended citation: K. Fu, A. Mohapatra, U. H\"ager, R. Tonkoski, T. Hamacher. "Application-oriented Digital Twin for Integrated Energy System: A Review". manuscript under review, 2025.
Published in , 2025
Generation of low-voltage synthetic grid data for energy system modeling with the pylovo tool
Sustainable Energy, Grids and Networks, 2025
Recommended citation: B. Reveron Baecker, S. Candas, D. Tepe, A. Mohapatra. "Generation of low-voltage synthetic grid data for energy system modeling with the pylovo tool". Sustainable Energy, Grids and Networks, 2025.
Published in , 2025
Graph Neural Network Surrogates for Energy System Modeling
accepted in 2025 IEEE ISGT Europe, 2025
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.
Published in , 2025
Grid-Connected, Data-Driven Inverter Control, Theory to Hardware
2025 IEEE PowerTech Kiel, 2025
Recommended citation: S. Graf, K. Moffat, A. Mohapatra, A. Chiuso, F. D\"orfler. "Grid-Connected, Data-Driven Inverter Control, Theory to Hardware". 2025 IEEE PowerTech Kiel, 2025.
Published in , 2025
PHIL Validation of Physics-Informed Symbolic Regression for Power System Voltage Prediction
accepted in 2025 IEEE ISGT Europe, 2025
Recommended citation: S. Eichhorn, A. Mohapatra, E. Okoyomon. "PHIL Validation of Physics-Informed Symbolic Regression for Power System Voltage Prediction". accepted in 2025 IEEE ISGT Europe, 2025.
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
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.
Published in , 2025
Real-World Self-Adaptive Digital Twin: An Example of Commercial Air-Source Heat Pump
manuscript under review, 2025
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". manuscript under review, 2025.
Published in , 2025
Surrogate Framework for Energy System Modeling
2025 IEEE PowerTech Kiel, 2025
Recommended citation: A. Mohapatra, M. Hock, B. Reveron Baecker, T. Hamacher. "Surrogate Framework for Energy System Modeling". 2025 IEEE PowerTech Kiel, 2025.
Published in , 2025
Towards Automatic Parameterization of Online Feedback Optimization for Autonomous Low-Voltage Distribution Grids
2025 IEEE PowerTech Kiel, 2025
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.
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.
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How to build a realistic and collaborative testbed using real prosumers, real grid and distributed controls? I present three applications which demonstrate the effectiveness of the CoSES lab in bridging theory and practice.
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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.
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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.
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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?
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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?