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Energy and Environment Directorate

Jim Ogle

Jim Ogle

(509) 371-7715

Biography

Jim Ogle is a Chief Electrical Engineer at Pacific Northwest National Laboratory in the Electricity and Environment Directorate. He joined the laboratory in 2019 and has over 30 years industry experience. At the lab, Jim has contributed to research efforts primarily in support of the United States Department of Energy. He currently is leading research in advanced distribution systems operations and management, grid architecture, grid sensor technology and analytics, and grid communications analysis and planning.

Prior to joining the lab, Jim led commercial product development in the areas of power systems metering and automation, communication systems, distributed software and systems, machine learning, and cyber-security. He has held a variety of roles in several companies spanning electric utility operations at Avista Utilities and Puget Sound Energy, automated metering infrastructure and communication system development at Itron, and real-time embedded software and hardware development for cellular networks at Agilent Technologies.

Research Interests

  • Grid and cross-sector system architecture
  • Distributed energy system operations
  • Measurement & controls for a clean energy future
  • Machine learning and data analytics
  • Edge compute and distributed systems
  • Advanced communication network technology

Education and Credentials

  • B.S., Electrical Engineering, Seattle University
  • M.S., Electrical Engineering, Columbia University
  • P.E., State of Washington

PNNL Publications

2024

  • Fan X., Y. Chen, D. Wang, C. Qin, Y. Liu, K. Guddanti, and Y. Li, et al. 2024. 5G Energy FRAME Report on 5G for Grid Use Case: Year 3 Final Report. PNNL-36588. Richland, WA: Pacific Northwest National Laboratory. 5G Energy FRAME Report on 5G for Grid Use Case: Year 3 Final Report
  • Sharma P., A.P. Reiman, A.A. Anderson, S. Poudel, C.H. Allwardt, A.R. Fisher, and T. Slay, et al. 2024. "GridAPPS-D Distributed App Architecture and API for Modular and Distributed Grid Operations." IEEE Access 12, no. _:39862 - 39875. PNNL-SA-193951. doi:10.1109/ACCESS.2024.3374331

2023

  • Bretas A., D. Wang, O. Vasios, and J.P. Ogle. 2023. "Bi-Level Linear Programming Model for Automatic Load Shedding: A Distributed Wide-Area Measurement System-based Solution." In IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT 2023), January 16-19, 2023, Washington, DC, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-177286. doi:10.1109/ISGT51731.2023.10066344
  • Chen Y., L. Wang, X. Fan, D. Wang, and J.P. Ogle. 2023. "A 5G Enabled Adaptive Computing Workflow for Greener Power Grid." In IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT 2023), January 16-19, 2023, Washington, DC, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-177612. doi:10.1109/ISGT51731.2023.10066383
  • Fan X., D. Wang, C. Qin, K. Guddanti, V. Tiruchirappalli Narayana Kumar, Y. Chen, and J.P. Ogle, et al. 2023. 5G Energy FRAME: The Design and Implementation of Data, Model, and Use Case - Year 2 Report. PNNL-34658. Richland, WA: Pacific Northwest National Laboratory. 5G Energy FRAME: The Design and Implementation of Data, Model, and Use Case - Year 2 Report
  • Hossain R., K. Mahapatra, and J.P. Ogle. 2023. "Model Agnostic Bayesian Framework for Online Anomaly/Event Detection in PMU Data." In Proceedings of the IEEE Power & Energy Society General Meeting (PESGM 2023), July 16-20, 2023, Orlando, FL, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-179850. doi:10.1109/PESGM52003.2023.10252365
  • Mitra B., A. Singhal, S. Kundu, and J.P. Ogle. 2023. "Analyzing Distribution Transformer Degradation with Increased Power Electronic Loads." In IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT 2023), January 16-19, 2023, Washington, DC, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-177443. doi:10.1109/ISGT51731.2023.10066387
  • Reiman A.P., A.A. Anderson, G.D. Black, A.R. Fisher, M. Mukherjee, S. Poudel, and T. Slay, et al. 2023. Application Deconfliction Characterization and Alternatives Analysis. PNNL-35109. Richland, WA: Pacific Northwest National Laboratory. Application Deconfliction Characterization and Alternatives Analysis
  • Reiman A.P., S. Poudel, M. Mukherjee, A.A. Anderson, O. Vasios, T. Slay, and G.D. Black, et al. 2023. "App Deconfliction: Orchestrating Distributed, Multi-Agent, Multi-Objective Operations for Power Systems." IEEE Access 11. PNNL-SA-183068. doi:10.1109/ACCESS.2023.3269422
  • Sebastian Cardenas D.J., M. Touhiduzzaman, A. Singh, J.T. Kolln, and J.P. Ogle. 2023. "The Distributed Grid Sensing Services (DGSS) platform: A scalable and decentralized sensor dissemination network." In IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT 2023), January 16-19, 2023, Washington, DC, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-177454. doi:10.1109/ISGT51731.2023.10066403

2022

  • Fan X., J.P. Ogle, J.V. Cree, D. Wang, Y. Chen, E.S. Peterson, and T. Fu, et al. 2022. Technical Characterization and Benefit Evaluation of 5G-Enabled Grid Data Transport and Applications. PNNL-33221. Richland, WA: Pacific Northwest National Laboratory. Technical Characterization and Benefit Evaluation of 5G-Enabled Grid Data Transport and Applications
  • Fu T., D. Wang, X. Fan, H. Ren, J.P. Ogle, and Y. Chen. 2022. "Efficient Topology Assessment for Integrated Transmission and Distribution Network with 10,000+ Inverter-based Resources." In IEEE Power & Energy Society General Meeting (PESGM 2022), July 17-21, 2022, Denver, CO, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-168308. doi:10.1109/PESGM48719.2022.9916770
  • Hardy T.D., L.D. Marinovici, J.P. Ogle, and F.C. Rutz. 2022. Communication System Modeling in Transactive Systems. PNNL-33535. Richland, WA: Pacific Northwest National Laboratory. Communication System Modeling in Transactive Systems
  • Lassetter A.R., K. Mahapatra, D.J. Sebastian Cardenas, S. Gourisetti, J.G. O'Brien, and J.P. Ogle. 2022. "Data-Driven PMU Noise Emulation Framework using Gradient-Penalty-Based Wasserstein GAN." In IEEE Power & Energy Society General Meeting (PESGM 2022), July 17-21, 2022, Denver, CO, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-168113. doi:10.1109/PESGM48719.2022.9916787
  • Sharma P., A. Riepnieks, A.P. Reiman, A. Singh, R.B. Melton, J.P. Ogle, and C.H. Allwardt. 2022. "Model-based interface design for smart field-device integration." In IEEE Rural Electric Power Conference (REPC 2022), April 5-8, 2022, Savanah, GA, 31-37. Piscataway, New Jersey:IEEE. PNNL-SA-170776. doi:10.1109/REPEC55671.2022.00014

2021

  • Mahapatra K., D.J. Sebastian Cardenas, S. Gourisetti, J.G. O'Brien, and J.P. Ogle. 2021. "Novel Data Driven Noise Emulation Framework using Deep Neural Network for Generating Synthetic PMU Measurements." In IEEE Resilience week (RWS 2021), October 18-21, 2021, Salt Lake City, UT. Piscataway, New Jersey:IEEE. PNNL-SA-166581. doi:10.1109/RWS52686.2021.9611789
  • Nguyen Q.H., J.P. Ogle, X. Fan, X. Ke, M.R. Vallem, N.A. Samaan, and N. Lu. 2021. "EMS and DMS Integration of the Coordinative Real-time Sub-Transmission Volt-Var Control Tool under High DER Penetration." In IEEE Power & Energy Society General Meeting (PESGM 2021), July 26-29, 2021, Washington DC, 01-05. Piscataway, New Jersey:IEEE. PNNL-SA-157949. doi:10.1109/PESGM46819.2021.9638160
  • Ogle J.P., R.B. Melton, K.P. Schneider, and R. Jinsiwale. 2021. "Enhancing Responsiveness and Resilience with Distributed Applications in the Grid." In IEEE Rural Electric Power Conference (REPC 2021), April 27-29, 2021, Savanah, GA, 15-20. Piscataway, New Jersey:IEEE. PNNL-SA-151909. doi:10.1109/REPC48665.2021.00012

2020

  • Fan X., S.G. Aksoy, D. Wang, Q. Huang, J.P. Ogle, A. Tbaileh, and R. Huang. 2020. "Automated Realistic Testbed Synthesis for Power System Communication Networks based on Graph Metrics." In IEEE Conference on Innovative Smart Grid Technologies North America (ISGT 2020), February 17-20, 2020, Washington, DC, 1-5. Piscataway, New Jersey:IEEE. PNNL-SA-147313. doi:10.1109/ISGT45199.2020.9087672

Energy and Environment

Core Research Areas

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