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publications

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.

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.

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.

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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teaching