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Anca D. Hansen

10 months ago

PhD in Control of Hybrid Power Plants for Resilient Power System Support Technical University of Denmark in Denmark

Degree Level

PhD

Field of study

Environmental Science

Funding

Available

Deadline

Expired

Country flag

Country

Denmark

University

Technical University of Denmark

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Keywords

Environmental Science
Electrical Engineering
Robust Control
Python Programming
Optimal Control
Model Predictive Control
Energy Transition
Power System

About this position

Are you passionate about advancing the green energy transition and developing technical solutions for future power systems? The Renewable Plants in Energy Systems (RES) section at the Technical University of Denmark (DTU) Wind and Energy Systems invites applications for a fully funded PhD position focused on the Control of Hybrid Power Plants for Resilient Power System Support. This multidisciplinary research opportunity offers a creative and inspiring work environment, with access to unique research infrastructure including a fully controllable megawatt-scale hybrid power plant at DTU's Risø Campus.

As a PhD student, you will develop advanced control strategies for hybrid power plants (HPPs) to ensure their seamless integration into future power grids. The project is at the intersection of control engineering, power systems, and renewable energy integration, and is part of the Independent Research Fund Denmark project TRANSITION, which supports the career development of young researchers in sustainable energy innovation. You will collaborate closely with DTU Wind, DTU Electro, and both national and international partners, contributing to Europe’s leadership in green energy technologies and the transition to a sustainable, decarbonized energy system.

The research addresses the increasing complexity of power systems due to the proliferation of converter-based renewable power plants and uncertainties from climate change, market dynamics, and grid variations. Hybrid Power Plants, combining multiple generation and storage technologies, are central to providing essential grid support services and maintaining system stability. Your objective will be to design, implement, and evaluate novel control approaches for HPPs, ensuring resilient grid service delivery under high uncertainty and complexity. You will leverage data and expertise from DTU’s MW-scale HPP research facility, enhancing the practical relevance of your work and supporting the integration of more renewable energy into future power grids.

Responsibilities include modeling state-of-the-art control architectures for utility-scale HPPs, identifying challenges in dynamic performance and grid service provision, developing new control methods for grid support, and quantifying their performance through theoretical analysis and simulation-based validation. You will publish your findings in scientific journals, present at conferences, assist in MSc thesis supervision, and provide limited teaching assistance. Engagement with industry and academic partners in the TRANSITION project and contributions to IEA Wind Task 50 and Task 25/63 are expected.

Applicants should have a strong foundation in control theory (optimal, robust, distributed, and model predictive control), with background in power system analysis, dynamics, control, and/or converter control considered a strong advantage. Experience with modeling and simulation tools such as MATLAB/Simulink, Python, or similar, and strong programming and analytical skills are essential. Expertise in renewable energy systems, hybrid power plants, and converter-based generation is useful, and proficiency in English is mandatory. Candidates must meet DTU’s PhD admission requirements, including a two-year master's degree (120 ECTS points) or equivalent in a relevant field.

The position is funded for three years, with salary and terms based on the collective agreement with the Danish Confederation of Professional Associations. The expected start date is July 2026, or as mutually agreed. DTU offers a dynamic, international research environment, academic excellence, and global networking opportunities. DTU Wind and Energy Systems is the world’s largest public research institute dedicated to wind and energy systems transition, with a strong reputation for pioneering wind technology and smart energy systems.

To apply, submit your complete online application by 25 January 2026, including a cover letter, CV, grade transcripts, diploma, and a 1-page research statement, as a single PDF file via the provided application link. For further information, contact Associate Professors Anca D. Hansen, Kaushik Das, Hans Henrik Niemann, or Head of Section Gregor Giebel. DTU encourages applications from all qualified candidates regardless of background and conducts open-source background checks for positions involving critical technology.

For more details and to apply, visit the official application link. Join DTU and contribute to shaping the future of sustainable energy systems!

Funding details

Available

What's required

Applicants must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in a relevant field such as control engineering, power system engineering, or a closely related discipline. A strong foundation in control theory (optimal, robust, distributed, and model predictive control) is required. Background in power system analysis, dynamics, control and/or converter control is a strong advantage. Experience with modelling and simulation tools such as MATLAB/Simulink, Python, or similar is essential, along with good programming skills and the ability to work with complex systems. Strong analytical skills and the ability to conduct both theoretical and applied research are highly valued. Expertise in modelling renewable energy plants and systems, hybrid power plants, and converter-based generations is useful, while knowledge in distributed control is preferable. Proficiency in English, both written and spoken, is mandatory. The ability to work collaboratively in a multidisciplinary and international research environment is helpful. Candidates must fulfill the requirements for admission to a PhD program at DTU.

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Professors

Associate Professor at Technical University of Denmark

University Name
Country flag

Denmark

Research Interests

Power System

Energy Transition

Environmental Science

Model Predictive Control

Optimal Control

Associate Professor

University Name
Country flag

Denmark

Research Interests

Energy Engineering

Power System

Energy Economics

Power Generation

Power Transmission

Associate Professor at Technical University of Denmark

University Name
Country flag

Denmark

Research Interests

Power System

Environmental Science

Energy Transition

Robust Control

Electrical Engineering