Graduate Intern - Electric Distribution Grid Planning Engineering

Dominion Energy is committed to providing reliable, affordable, and increasingly clean energy that powers our customers every day. If you want to work for a purpose-driven company that values safety and collaboration, we’re looking for you. You won’t just find a job here; you’ll find your career. Review the position below and apply today.   We offer a hybrid work schedule (one week in the office, one week of teleworking) to accommodate the need for flexibility.   At this time, Dominion Energy cannot transfer or sponsor a work visa or employment authorization for this position.   Job Summary

Electric Distribution Grid Planning Strategic Initiatives and Grid Modeling Analytics (“SIGMA”), Graduate Engineering Intern 600 Canal Place, Richmond, VA. Description This graduate internship opportunity is intended for a student pursuing a graduate degree in electrical engineering with a focus or strong coursework in electric power engineering. The intern will provide technical support to the Distribution Grid Planning Strategic Initiatives and Grid Modeling Analytics (“SIGMA”) team, with emphasis on power system analysis, distribution grid modeling, data analytics, and Python-based automation. Assignments will be structured with clear objectives and performed under the guidance of experienced engineers and team leadership.   The graduate intern will be part of a team that provides technical support for Grid Planning, Grid Resiliency, Grid Modernization, and Integrated Distribution Planning activities. The intern will support development of distribution system studies, data analysis, and modeling efforts used for long-range integrated distribution grid planning. Candidate should have a strong academic background in electrical engineering, preferably with graduate-level coursework or research in electric power systems, power flow analysis, distribution systems, renewable energy integration, forecasting, or related fields. Proficiency in Python coding is required, including the ability to develop scripts for data analysis, automation, model processing, visualization, and engineering workflow improvement. Perform other duties as requested or assigned. Job Activities

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 directlyin 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 Required Knowledge, Skills, Abilities & Experience

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,