Master Thesis - Dynamic Power System Model Reduction in DIgSILENT PowerFactory
Location : ERL S SP 11
Mode of Employment : Part-time / Fixed Term
How You'll Make an Impact
- Dynamic reduction of electric transmission networks in DIgSILENT PowerFactory
- Implementing and testing of dynamic model reduction algorithms (mostly in Python)
- Design of improvements to the model reduction techniques using power system analysis and algorithmic approaches
- Evaluation and presentation of project results
What You Bring
- Currently Master study in electrical engineering, power engineering or a comparable subject at a university or college
- Good academic record and relevant knowledge and interest in electrical power systems and its control systems
- Experience with or can quickly learn power system simulation tools, such as DIgSILENT PowerFactory
- Good knowledge of power system dynamics and control theory
- Familiarity with Python
- Familiarity with algorithms, data structures, optimisation techniques is desirable
- Work well independently or in a team
- Fluent English skills
About the Team
Our Grid Technology division enables a reliable, sustainable, and digital grid. The power grid is the backbone of the energy transition.
Siemens Energy offers a leading portfolio and solutions in HVDC transmission, grid stabilization and storage, high voltage switchgears and transformers, and digital grid technology.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected.
With more than 94,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we're also using our technology to help protect people and the environment.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible.
We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy : https : / / www.siemens-energy.com / employeevideo
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities.
Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
Rewards / Benefits
- Exciting insights into an international company
- Lay the foundation for your career with us
We value equal opportunities and welcome applications from people with disabilities.
https : / / jobs.siemens-energy.com / jobs
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Currently Master study in electrical engineering, power engineering or a comparable subject at a university or college. Implementing and testing of dynamic model reduction algorithms (mostly in Python). Dynamic reduction of electric transmission networks in DIgSILENT PowerFactory. Design of improvem...
Master Thesis - Dynamic Power System Model Reduction in DIgSILENT PowerFactory
Master Thesis - Dynamic Power System Model Reduction in DIgSILENT PowerFactory. Currently Master study in electrical engineering, power engineering or a comparable subject at a university or college. Implementing and testing of dynamic model reduction algorithms (mostly in Python). Dynamic reduction...
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