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Hendrik Lens

Professor for Power Plant and Grid Systems

University of Stuttgart

Germany

Research Interests

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About

Hendrik Lens is a Professor for Power Plant and Grid Systems at the University of Stuttgart, Germany. His research areas include the optimization of energy systems, grid-forming converters, and probabilistic modeling for active distribution networks. He has published recent articles on topics such as the closed-loop identification of incinerators and the requirements of grid-forming converters in interconnected power systems.

Articles (17)

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2026

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2025

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2025

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (2)

Thomas Pregger

Deutsches Zentrum für Luft- und Raumfahrt (DLR)

GERMANY

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Roland Singer

Head of Group Converter based Power Grids

Fraunhofer Institute for Solar Energy Systems

GERMANY

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Hendrik Lens

Research Interests

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Articles (17)

Assessing and improving the operational flexibility of grate-fired cogeneration power plants

Agent-based analysis of the impact of near real-time data and smart balancing on the frequency stability of power systems

Convex Capacity Expansion Planning Under Inertial Response Constraints

Closed-loop identification of a MSW grate incinerator using Bayesian Optimization for selecting model inputs and structure

Grid‐forming converters in interconnected power systems: Requirements, testing aspects, and system impact

A Voltage Sensitivity Based Equivalent for Active Distribution Networks Containing Grid Forming Converters

Evaluation of Equivalent Dynamic Active Distribution Network Models with Individual and Aggregated Consideration of Grid Forming Converters

Analyse der tragenden Rolle von Elementen mit netzbildender Regelung für einen stabilen Stromnetzbetrieb

Evaluation of Equivalent Dynamic Active Distribution Network Models with Individual and Aggregated Consideration of Grid Forming Converters

A Gaussian process framework for the probabilistic dynamic modeling of active distribution networks using exogenous variables

An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting

Control Aspects of the Interzonal Exchange of automatic Frequency Restoration Reserves

Monitoring the Compliance of Balancing Reserves Power with the System Operation Guideline of Continental Europe

Bridging granularity gaps to decarbonize large‐scale energy systems—The case of power system planning

Data-Driven Dynamic Models of Active Distribution Networks Using Unsupervised Learning Techniques on Field Measurements

A Dynamic Active Distribution Network Equivalent for Enhancing the Generalization Capability of the Exponential Recovery Model in Stability Studies

To Prevent or Promote Grid Expansion? Analyzing the Future Role of Power Transmission in the European Energy System

Collaborators (2)

Thomas Pregger

Roland Singer

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