Graduate Intern - Electric Distribution Grid Planning Engineering

Dominion Energy • Richmond, VA

1d • Hybrid

About The Position

Dominion Energy is seeking a graduate intern to provide technical support to the Distribution Grid Planning Strategic Initiatives and Grid Modeling Analytics (“SIGMA”) team. This role focuses on power system analysis, distribution grid modeling, data analytics, and Python-based automation. The intern will support grid planning, resiliency, modernization, and integrated distribution planning activities, contributing to the development of distribution system studies, data analysis, and modeling efforts for long-range planning. The position requires a strong academic background in electrical engineering, with graduate-level coursework or research in electric power systems, power flow analysis, distribution systems, renewable energy integration, or forecasting. Proficiency in Python coding is essential for developing scripts for data analysis, automation, model processing, visualization, and engineering workflow improvement. The intern will perform other duties as requested or assigned.

Requirements

• Currently pursuing a graduate degree in electrical engineering, power systems engineering, or a closely related field.
• Strong academic or research background in electric power systems, distribution systems, grid planning, renewable integration, or related power engineering topics.
• Proficiency in Python coding required, including experience with data analysis, automation, scripting, and visualization libraries or tools.
• Full knowledge of engineering theories and principles
• Proficient at analyzing all aspects of three-phase AC power flow
• Must have a 3.0 GPA or above.
• Must be graduating in Fall 2027 or Spring 2028.

Nice To Haves

• Familiarity with power system analysis concepts such as load flow, voltage analysis, distribution planning criteria, DER impacts, or reliability assessment preferred.
• Experience working with large datasets, engineering models, databases, or analytical tools preferred.
• Understands and can apply knowledge of configuration management.
• Planning, organizational and project management skills.
• Ability to develop and exercise leadership skills.
• Effective decision-making skills.
• Effective oral and written communication skills (includes technical writing).
• Ability to think analytically and solve complex problems.
• Ability to interpret codes, regulations and practices.
• Equally effective working independently or in a team environment.
• Ability to process information quickly and effectively manage multiple tasks.
• Knowledge of substation equipment/operations, relay operations, and power station preferred.
• Exposure to power system modeling or analytical software such as Synergi Electric, CYME, PSS/E, PSCAD, ASPEN, MATLAB, OpenDSS, or similar tools preferred.
• Demonstrated resourcefulness in developing advanced system models from diverse and indirect data and information sources preferred.
• Ability to use Python to improve engineering workflows, automate repetitive tasks, process model inputs/outputs, and communicate results through clear visualizations or summaries.
• Must be dedicated to continuous improvement and identifying best practice opportunities.
• Power engineering coursework, research, or project experience preferred.

Responsibilities

• Support engineering assignments related to distribution grid planning, system modeling, and data analytics under the guidance of experienced engineers
• Develop and maintain Python scripts to automate data processing, model preparation, engineering calculations, and reporting workflows
• Apply power engineering concepts to support load flow analysis, voltage analysis, reliability studies, forecasting, and distribution system modeling activities
• Effectively utilize the proper resources to develop solutions and devise new approaches to problems encountered in work assignments
• Maintain and manage data for distribution grid load and DER forecasting: conduct discussions with users and other stakeholders to understand data requirements, query and clean data from other systems, integrate to other systems, work directly in database to analyze and modify model inputs and outputs, apply other data analytics tools to interpret study results
• Power system modeling: load flow and voltage analysis, predictive reliability analysis, and time series simulations including dynamic and transient analysis
• Analyze multiple infrastructure interdependencies related to thermal, voltage and reliability criteria
• Perform/support evaluation, design, engineering, and support activities related to traditional utility solutions and non-wires alternatives

Benefits

• health, dental, and vision benefits with coverage for families and domestic partners
• vacation
• retirement plans including 401k contributions and matches
• paid holidays
• tuition reimbursement
• bonus eligibility
• sick leave
• disability insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Intern