Reinaldo Tonkoski

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Professor for Electric Power Transmission & Distribution

Technical University of Munich

Germany

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Reinaldo Tonkoski is a Professor of Electric Power Transmission & Distribution at the Technical University of Munich, Germany. His research areas focus on the advancement of energy systems, specifically in optimizing microgrid performance, analyzing inverter dynamics, and integrating renewable energy sources. Recent publications include works on parameterization models for distributed energy resources, voltage support optimization, and data-driven modeling techniques for energy storage systems.

Recent Grants

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Collaborative Research: CyberTraining: Implementation: Small: Multi-disciplinary Training of Learning, Optimization and Communications for Next Generation Power Engineers

Open Date: 2019-09-01

Close Date: 2023-08-01

Grant: Close

Development and Validation of Models to Assess Dynamic Response of Converter-Dominated Power Systems across Multiple Spatiotemporal Scales

Open Date: 2019-08-15

Close Date: 2021-08-14

Grant: Close

MRI: Acquisition of a Microgrid Cyber-Physical Testbed for Advanced Energy Management Systems

Open Date: 2017-09-15

Close Date: 2020-08-31

Grant: Close

MRI: Acquisition of a Microgrid Cyber-Physical Testbed for Advanced Energy Management Systems

Open Date: 2017-09-01

Close Date: 2020-08-01

Grant: Close

Reliable and Resilient Microgrids for Data Centers

Open Date: 2014-05-01

Close Date: 2015-04-01

Reinaldo Tonkoski

Research Interests

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Contact this professor

About

Recent Grants

Articles (20)

Aggregated DER_A Model Parameterization via Online Moving Horizon Estimation

Optimization-Based Dynamic Voltage Support of Microgrids Using Energy Storage Systems

A Physics-Informed Neural Network Modeling Approach for Energy Storage-based Fast Frequency Support in Microgrids

Data-Driven Modeling of Grid-Forming Inverter Dynamics Using Power Hardware-in-the-Loop Experimentation

Experimental Validation of a Diesel Genset Frequency Dynamics Model for Use in Remote Area Power Systems

Neural Network-based Dynamic State Estimation for Fast Frequency Support using Energy Storage Systems

Experimentation in Exploring Photovoltaic Inverter Dynamics Under Different Irradiance Levels Through a Data-Driven Approach

Analysis of Financial Penalties for Low Power Factor in Distribution Systems With High Penetration of Photovoltaics

Smooth Mathematical Representation of the DER_A Aggregated Model

Automated Data–Driven Model Extraction and Validation of Inverter Dynamics with Grid Support Function

High-Fidelity Model of Stand-Alone Diesel Electric Generator With Hybrid Turbine-Governor Configuration for Microgrid Studies

Multiarea Inertia Estimation Using Convolutional Neural Networks and Federated Learning

Implementation of Model Predictive Control for Frequency Support in a Real-time Digital Simulator

Overvoltage Prevention and Curtailment Reduction Using Adaptive Droop-Based Supplementary Control in Smart Inverters

A Real-World Test Distribution System With Appliance-Level Load Data for Demand Response and Transactive Energy Studies

Optimization-Based Fast-Frequency Estimation and Control of Low-Inertia Microgrids

Real-Time Estimation of Microgrid Inertia and Damping Constant

Review of Dynamic and Transient Modeling of Power Electronic Converters for Converter Dominated Power Systems

Review of Methods to Accelerate Electromagnetic Transient Simulation of Power Systems

Microgrid Stability Definitions, Analysis, and Examples

Collaborators (8)

Fabio Andrade

Lingling Fan

Phylicia Cicilio

Daniel D. Campo-Ossa

Mahdi Pourakbari Kasmaei

Timothy M. Hansen

Hossein Moradi Rekabdarkolaee

Richard Wies

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