Graduate PhD (Summer/Year-Round) Intern – Cyber-Resilient DERMS Control in Distribution Grid Operation

View full description

Requirements:

• Candidate must have completed an undergraduate degree in electrical engineering or related field
• The successful candidate will be a current student in a PhD program in electrical engineering or related field
• Demonstrated experience distribution system state estimation, and distribution system optimal power flow
• Proficiency in programming language (e.g., Python, C/C++)
• Proficiency in commercial/open-source optimization solvers and packages (e.g.  Gurobi)
• Proficiency in power distribution system software i.e. Open DSS
• Demonstrated knowledge or experience with reinforcement learning

Responsibilities:

• Development of DER control algorithms using python
• Conduct distribution system state estimation and optimal power flow
• Develop reinforcement-based DER controls using python
• Simulating DER control algorithms using Open DSS
• Contributing towards the creation of research publications and technical documents
• Conduct literature review, identify research gaps, and share findings with the team
• Present results and project updates to the research team including NREL researchers as well as external partners