Yiming Chen

TESLA Energy - NA Power Systems

Atlanta, Georgia, United States

About

I am a PhD student at the Advanced Computational Electricity Systems (ACES) Laboratory at Georgia Tech, where my research focuses on developing computational tools to assess emerging grid technologies. My research aims to identify optimal pathways for transitioning to the next-generation power grids that are greener, smarter, and more resilient. With a decade of academic and industry experience in power systems, I have a comprehensive understanding of the field, from economic operation, protection, and stability to power electronics and electric machines. I also have a solid background in control and optimization, and I am currently pursuing an MSCS degree with a focus on machine learning.

Experience

  • Power Systems Engineer at Tesla
    Dec 2025 - Present · 7 mos

  • Georgia Institute of Technology (4 yrs 5 mos)
    • Graduate Research Assistant
      Jan 2022 - Dec 2025 · 4 yrs

      Contributed to two ARPA-E Circuit Breaker projects: 1. EDISON - Efficient DC Interrupter with Surge Protection - Performed techno-economic analyses for medium-voltage DC applications, including micro-grids, wind farms, commercial marine, and data centers 2. TESLA - Tough and Ecological Supercritical Line Breaker for AC - Conducted EMT simulations in PSCAD to investigate novel fault transient patterns under high penetration of IBRs - Performed a comprehensive life cycle assessment, demonstrating TESLA’s superior sustainability performance - Developed a sustainable asset management tool to optimize the replacement of aging infrastructure (SF6 CBs) using the TEA framework and IBM CPLEX Constraint Programming Independent Research: GAT-based Distribution Network Protection - Designed an iterative method based on MATPOWER to perform short-circuit calculations in distribution networks with multiple IBRs, generating thousands of fault scenarios in minutes - Created a fast protection scheme for active distribution networks with limited measurements using Graph Attention Networks (GAT)

    • Graduate Teaching Assistant
      Aug 2021 - Dec 2021 · 5 mos

      Course: ECE3077 Introduction to Probability and Statistics for ECE

  • Sustainable and Resilient Power Systems – Internship at Siemens
    May 2025 - Aug 2025 · 4 mos

  • Grid Intelligence - Internship at Eaton
    May 2023 - Aug 2023 · 4 mos

    - Developed a protection and reclosing coordination scheme for active distribution networks with limited measurements under high penetration of IBRs - Implemented and tested the proposed scheme in PSCAD, successfully validating its effectiveness

  • Electrical Engineer at State Grid Jinan Power Supply Company
    Sep 2020 - Aug 2021 · 1 yr

    - Gained hands-on experience in power utility operations through a rotational program across different departments - Developed familiarity with power equipment by handling substation operations, inspections, and maintenance activities