NREL Internship (Summer) - Distribution System Modeling and Simulation for Heavy Duty EV Charging Stations in Golden, Colorado
Internship (Summer) - Distribution System Modeling and Simulation for Heavy Duty EV Charging Stations
CO - Golden
Intern (Fixed Term)
Hours Per Week
The Power Systems Engineering Center (PSEC) is seeking a full-time (40 hours per week) summer intern. The intern will work with NREL research engineers on projects related to grid impact analysis of heavy duty electric vehicle charging stations. Successful candidate will work on optimal charging location selection from both grid impact and transportation network perspectives.
The intern is expected to have research experience on transportation network modeling and optimization, prior research works on optimal electric vehicle charging station selection are preferred. The intern should have basic knowledge on or be willing to learn power system modeling and simulation. Skills on machine learning are preferred.
PSEC supports the science and technology goals of the U.S. Department of Energy and NREL toward a sustainable energy future. The center works with the electricity industry to optimize strategies for effectively interconnecting renewable resources and emerging energy efficiency technologies in the existing electric power system.
Working with NREL research engineers to investigate grid impact brought by heavy duty electric vehicle charging stations
Develop transportation network models and correlate transportation network models with distribution power system models
Develop methodologies to select optimal charging station locations which bring benefit from both power system and transportation network perspectives
Document the works done within internship into a peer-reviewed paper
Following all Environment, Safety, and Health policies and procedures to ensure and maintain a safe working environment.
Must be enrolled as a full-time student in a degree granting program, or graduated in the past 12 months from an accredited institution. Internship period cannot exceed 12 months past graduation. Minimum of a 3.0 cumulative grade point average. Please Note: You will need to upload unofficial transcripts and a letter of recommendation as part of the application process.
General knowledge and application of electrical engineering, optimization research, machine learning, computational and algorithmic theory, concepts, and techniques. Excellent writing, interpersonal, and communication skills.
Demonstrated strong algorithm development skills especially on optimization problem formulation and algorithm development, and computer skills including languages relevant to optimization, simulation, data analysis and visualization.
Experience on transportation network modeling and optimization. Prior research works on optimal electric vehicle charging station selection. Experience on distribution system modeling tools such as OpenDSS, data analysis tools such as MATLAB, Python, or R.
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