Summary
Abodh Poudyal is a Senior Software Power Systems Engineer at Electric Power Engineers, where he leads efforts in developing automated solutions for grid modernization, resilience, and reliability.
Abodh is passionate about advancing the future of power systems through innovative software solutions. With over nine years of experience, Abodh specializes in automating grid operations and developing scalable tools for utilities.
His expertise spans power system analysis, operations research, machine learning, high-performance computing, and software develpoment. Before joining EPE, Abodh worked as a researcher with the National Renewable Energy Laboratory
(now known as the National Laboratory of the Rockies). He is also actively involved as a secretary of the IEEE Modern and Future Distribution Systems Planning Working Group.
Education
PhD Electrical Engineering
2020-08-01
2024-05-01
Washington State University, Pullman, WA, USA
MS Electrical Engineering
2018-08-01
2020-08-01
South Dakota State University, Brookings, SD, USA
BE Electrical Engineering
2012-11-01
2016-10-01
Tribuvan University, Lalitpur, Nepal
Interests
Grid Modernization
Grid Resilience
Operations Research
Machine Learning
High-Performance Computing
Software Development
Journal Articles
(2024).
Multi-Resource Trade-Offs in Resilience Planning Decisions for Power Distribution Systems.
IEEE Transactions on Industry Applications.
(2024).
Resilience assessment and planning in power distribution systems: Past and future considerations.
Renewable and Sustainable Energy Reviews.
(2022).
Risk-based active distribution system planning for resilience against extreme weather events.
IEEE Transactions on Sustainable Energy.
(2021).
Multiarea inertia estimation using convolutional neural networks and federated learning.
IEEE Systems Journal.
Conference Proceedings
(2024).
Hurricane and Storm Surges-Induced Power System Vulnerabilities and their Socioeconomic Impact.
2024 IEEE Power & Energy Society General Meeting (PESGM).
(2024).
Understanding Trade-Offs in Resilience Planning Decisions for Power Distribution Systems.
2023 IEEE Industry Applications Society Annual Meeting (IAS).
(2023).
Spatiotemporal impact assessment of hurricanes and storm surges on electric power systems.
2022 IEEE Power & Energy Society General Meeting (PESGM).
(2022).
Spatiotemporal Impact Assessment of Hurricanes on Electric Power Systems.
2022 IEEE Power & Energy Society General Meeting (PESGM).
(2022).
A Risk-Driven Probabilistic Approach to Quantify Resilience in Power Distribution Systems.
2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).
(2021).
Convolutional neural network-based inertia estimation using local frequency measurements.
2020 52nd North American Power Symposium (NAPS).
Other Publications
(2025).
Guidance for Grid Resilience Decisions in Rural Minnesota.
National Renewable Energy Laboratory (NREL), Golden, CO (United States).
(2025).
Weather-Driven Resilience for Distribution Systems.
Utility and Grid Operator Power System Resources Webinar Series (NREL).
(2024).
Distribution Transformer Demand: Understanding Demand Segmentation, Drivers, and Management Through 2050.
National Renewable Energy Laboratory (NREL), Golden, CO (United States).