Work within a specialized research group focused on power system reliability, dynamics, and integrated planning. This internship offers hands-on involvement in modeling and simulating both bulk and distribution-level power systems, with a focus on emerging challenges tied to Inverter-Based Resources (IBRs) and Distributed Energy Resources (DER).
Key Responsibilities
- Perform simulations and interpret results from large-scale power system models to support grid reliability and resilience
- Develop and refine modeling tools, optimization methods, and dynamic simulation approaches, including co-simulation frameworks
- Create accurate representations of generation, transmission, and distribution systems for both steady-state and dynamic analysis
- Investigate interactions between DERs and bulk power system behavior, including impacts from natural hazards on grid infrastructure
- Design and implement data processing pipelines to integrate diverse datasets into analytical workflows
- Produce clear visualizations and technical summaries that communicate findings to diverse audiences
- Support transmission and distribution planning initiatives through data analysis and modeling enhancements
- Ensure compliance with all safety, environmental, and health protocols during research activities
Qualifications
Applicants must be currently enrolled in or recently completed a degree program in electrical engineering, energy systems, or a closely related field. Eligibility varies by academic level—undergraduate, graduate, or postgraduate status—with specific enrollment or degree completion timelines applying.
US citizenship is required due to access restrictions for government facilities and sensitive information systems. Candidates must demonstrate proficiency in power systems concepts and have practical experience with at least one of the following: PowerWorld, PSS/E, OpenDSS, Plexos, DIgSILENT, PSCAD, or Sienna.
Strong programming skills in Python or Julia are essential, along with foundational knowledge of power system dynamics, co-simulation (e.g., HELICS), and modeling approaches for distribution systems, DER, IBR, and hazard impacts. Effective written and verbal communication abilities are expected, as well as the capacity to work both independently and collaboratively.
Preferred Experience
- Familiarity with Git or GitHub for version control
- Contributions to open-source energy modeling or simulation projects in Python
- Experience with tools developed by national laboratories for energy system analysis
- Background in statistical analysis, performance metrics, or engineering evaluation methods
- Knowledge of DER and IBR interconnection standards such as IEEE 1547 or IEEE 2800
- Hands-on work automating large-scale grid assessments, including contingency analysis (N-1/N-k), frequency response, and stability evaluation
- Development and validation of dynamic models for grid-forming and grid-following inverters
Technical Environment
The role utilizes industry-standard and research-grade tools including PowerWorld, PSS/E, OpenDSS, Plexos, DIgSILENT, PSCAD, Sienna, Python, Julia, and HELICS. Experience with Git and GitHub is beneficial.
Work Setting
This is an onsite position located at a federal research facility. Access requires US citizenship. The environment supports deep technical engagement and contributes directly to national energy resilience and affordability goals.
