Power System Control and Simulation Internship
Listed on 2026-09-07
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Engineering
Electrical Engineering, Robotics, Systems Engineer
Power System Control and Simulation Internship
521009
02-Sep-2026
Foundational Technologies
Internal Services
Power System Control and Simulation Internship
Siemens Foundational Technologies is seeking a highly motivated and technically strong
Power System Simulation Internto join the Autonomous Controls and Operations research group in Princeton, NJfor a3–6 month internship. This role is focused ondynamic modeling and simulation of inverter-based resources (IBRs) inPSS®E, with particular emphasis onGrid-Forming (GFM) andGrid-Following (GFL) inverter technologies,wind energy system modeling, and the development and application ofuser-defined models (UDMs) for power system dynamic studies.
This internship is well suited for candidates with strong experience inpower system dynamics,renewable generation modeling, and simulation tool development workflows. The selected candidate will contribute to advanced simulation studies relevant to modern power systems with increasing penetration of inverter-based and renewable resources. The role includes model implementation, validation, automation, and technical analysis in support of industrial research applications.
This role you would work on-site in Princeton, NJ.
#Transform The Everyday
Key Responsibilities- Develop, implement, compile, integrate, and validate PSS®E user-defined models (UDMs) in PSS®E for advanced inverter control, renewable generation, and dynamic system studies, e.g., WECC generic renewable energy models, especially wind models, for utility-scale power system simulations
- Model and simulate wind energy conversion systems and wind power plants, including different wind generation technologies and control representations used in stability studies
- Use Fortran-based model development workflows and compiler environments to build and maintain PSS®E dynamic model libraries
- Perform dynamic simulations in PSS®E for inverter-based resources, including detailed investigation of GFM inverter behavior under disturbances and varying grid conditions to evaluate transient stability, dynamic performance, control interactions, and system strength impacts associated with inverter-based resources
- Develop Python-based tools and scripts for simulation automation, batch execution, output processing, data analysis, and result visualization
- Support model benchmarking, validation, and comparison against expected dynamic behavior or reference implementations
- Prepare technical documentation summarizing model assumptions, parameterization, simulation methodology, and findings
- Collaborate with Siemens researchers and engineers on advanced power system studies involving renewable integration and inverter-dominated grids
- Currently enrolled in an MS or PhD program in Electrical Engineering, Power Systems Engineering, or similar in an accredited university.
- Hands-on experience with PSS®E dynamic simulations, including dynamic case setup, disturbance definition, model execution, and response evaluation
- Familiarity with Fortran programming and compiler tool chains used for PSS®E model compilation and integration
- Proficiency in Python for engineering workflows, simulation automation, and technical data analysis
- Background in wind energy technologies, including modeling and simulation of different wind power generation types
- Understanding of Grid-Forming (GFM) and Grid-Following (GFL) inverter control concepts and dynamic behavior
- Solid foundation in power system dynamics, stability, and control
- Proficiency in English both written and verbal
- Authorized to work in the United States without corporate sponsorship now and in the future
- Experience developing, modifying, or working with user-defined models (UDMs) in PSS®E
- Experience with WECC generic renewable models, particularly wind turbine / wind plant models
- Experience using Python libraries such as Num Py, pandas, and Matplotlib for analysis and visualization
- Ability to work effectively in a technically deep, research-oriented, and collaborative environment
A successful candidate must be able to work with controlled technology in accordance with U.S. Export Control Law.…
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