Master’s thesis in electrical infrastructure



Country: Denmark
Working hours: Full-time
Application deadline: 2019-01-31T23:59:59.0000000
Workplace: Gentofte

Do you want to kickstart your career and turn complex challenges into innovative renewable solutions?

Write your master’s thesis with us and face a wide range of complex engineering and scientific challenges. You’ll get the opportunity to develop and deploy some of the world’s largest renewable infrastructure assets, solving complex challenges that require innovative solutions in close cooperation with other leading specialists, leveraging each other’s know-how and expertise.

Overall project description
Project title: Using Frequency Dependent Network Equivalents (FDNEs) for unbalanced systems in time domain studies

Electro-Magnetic Transient (EMT) studies are necessary in offshore wind power plants to ensure that the voltage fluctuations due to different switching events are within the tolerable range of the electrical equipment, and to check that the protection devices are sized and set correctly. However, these simulations are quite time-consuming, and it’s necessary to use the right simplifications. Normally, the transmission grid should be modelled for up to two busbars away, though setting up this model correctly and accurately is difficult.

Detailed project description
Recently, PSCAD has added frequency dependent network equivalents, by which the user can model a complex system using only one block that has similar frequency domain behaviour. In other words, the resonances inside the external system can be modelled accurately, and the model has an acceptable size and complexity. However, the built-in FDNE block in PSCAD only supports symmetrical phase domain networks, but in electrical systems there are cases where the positive and negative sequence impedances are not equal due to the presence of active elements, such as synchronous machines.

The project is expected to discuss the theory behind the frequency dependent network modelling in fixed-step time domain simulators and propose recommendations on how to set the identification parameters. It’s also expected to develop a tool that generates suitable data for a block in PSCAD, which can accurately model the frequency domain behaviour of unbalanced systems. The tool and blocks can be validated using the available data at the company using different software packages.

The project can include analysis of the following:

  • Review different grid modelling methods in wind farm time domain studies
  • Provide a state-of-the-art overview of FDNE
  • Investigate identification techniques (i.e. vector fitting) to obtain FDNE representation
  • Implement FDNE models in PSCAD for symmetrical and unsymmetrical fault studies
  • Perform simulation studies on an exemplary wind power plant case
  • Validate the developed tools and models by doing studies in PSCAD and DIgSILENT PowerFactory.

Your competences include that you

  • have a relevant background within power system engineering
  • have a structured and enthusiastic approach to the challenge of doing a master’s thesis in an industry setting
  • have knowledge and experience with power system modelling and analysis, including time domain and short circuit studies.

Functional area: Electrical infrastructure

Number of students: No specific expectations

Academic level: MSc

Project supervisor(s)/department(s)
To be agreed at a later stage.

Would you like to help shape the renewable technologies of the future?
Send your application to us as soon as possible and no later than 31 January 2019, as we’ll be conducting interviews on a continuous basis.

Desired start date: No specific start date desired

Please don’t hesitate to contact or if you’d like to know more about the position.

About Ørsted
Headquartered in Denmark, Ørsted’s 6,000 employees develop, construct and operate offshore wind farms, bioenergy plants and innovative waste-to-energy solutions and provide smart energy products to its customers. Ørsted Offshore’s 2,000 employees have developed and constructed the largest portfolio of offshore wind farms in Northern Europe, and we’re expanding with international activities in the US and Asia-Pacific. For more information on Ørsted, visit

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Ansøgningsfrist d. 31.01.2019

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