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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

2022

  • Fan X., J.P. Ogle, Y. Chen, D. Wang, and J.A. Ang. 2022. 5G Enabled Transformative Co-design and Co-simulation Framework for Grid Decarbonization and Modernization. PNNL-SA-173337. Richland, WA: Pacific Northwest National Laboratory. 5G Enabled Transformative Co-design and Co-simulation Framework for Grid Decarbonization and Modernization
  • 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
  • Taft J.D., and J.P. Ogle. 2021. Grid Architecture Guidance Specification for FAST-DERMS V1.0. PNNL-31172. Richland, WA: Pacific Northwest National Laboratory. Grid Architecture Guidance Specification for FAST-DERMS V1.0

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
  • Ogle J.P., M. Touhiduzzaman, Q.H. Nguyen, and P. Thekkumparambath Mana. 2020. CReST-VCT System Integration Framework. PNNL-29649. Richland, WA: Pacific Northwest National Laboratory. CReST-VCT System Integration Framework

2019

Energy and Environment

Core Research Areas

Contacts