Power System Control and Simulation Internship

Siemens•Princeton, NJ

4h•$35 - $47•Onsite

About The Position

Siemens Foundational Technologies is seeking a highly motivated and technically strong Power System Simulation Intern to join the Autonomous Controls and Operations research group in Princeton, NJ for a 3–6 month internship. This role is focused on dynamic modeling and simulation of inverter-based resources (IBRs) in PSS®E, with particular emphasis on Grid-Forming (GFM) and Grid-Following (GFL) inverter technologies, wind energy system modeling, and the development and application of user-defined models (UDMs) for power system dynamic studies. This internship is well suited for candidates with strong experience in power 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.

Requirements

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 toolchains 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

Nice To Haves

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 NumPy, pandas, and Matplotlib for analysis and visualization
Ability to work effectively in a technically deep, research-oriented, and collaborative environment

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