Bio


Dr. Liang Min is the Managing Director of the Bits & Watts Initiative at Stanford University. Bits & Watts is a Stanford initiative bringing together multi-disciplinary research teams to enable digital transformation for the 21st century electric grid. Prior to joining Stanford, Liang has worked at the Lawrence Livermore National Laboratory since 2011, as the founding group leader of the energy delivery group and associate program leader for the national lab’s cyber & infrastructure resilience program. He was the Research Director for Livermore’s CES-21 Electric Operations program and had previously worked at the Electric Power Research Institute (EPRI) as a senior project manager. Liang earned his Ph.D. in electrical engineering from Texas A&M University in 2007. He holds two U.S. patents in voltage stability assessment.

Current Role at Stanford


Managing Director for the Bits and Watts Initiative, Precourt Institute for Energy

Education & Certifications


  • Ph.D, Texas A&M University (2007)
  • M.S., Tianjin University (2004)
  • B.S., Tianjin University (2001)

Projects


  • Hierarchical Engine for Large-scale Infrastructure Co-Simulation (HELICS), Department of Energy (4/1/2016 - 3/31/2019)

    Our flexible and scalable open-source co-simulation framework is designed to integrate simulators designed for separate TDC domains to simulate regional and interconnection-scale power system behaviors at unprecedented levels of detail and speed. The target is to scale up to linking a 50,000-node transmission system with millions of distribution nodes, coupled with 100,000 communication points. This simulation should enable planning studies in a turnaround time of minutes to hours, instead of days with today's simulation technologies, a speedup of 50 to 100 times — a feat not previously done before.

    This comprehensive TDC simulation tool is fundamental for investment decision-making by industry. It's also important to help quantify the impact of the ever-increasing high penetration variable generation on power grid reliability and resiliency.

    Location

    Livermore, CA

    Collaborators

    • Henry Huang, Chief Engineer, Pacific Northwest National Lab
    • Jason Fuller, Group Manager, PNNL
    • Bryan Palmintier, Manager, NREL
    • Manish Mohanpurkar, Engineer, INL

    For More Information:

  • Multi-Scale Integration of Control Systems (EMS/DMS/BMS), Department of Energy (4/1/2016 - 4/1/2019)

    The current approach to electric power system operations and controls was developed during the last three to four decades using a piecemeal approach, within narrow functional silos, and well before the development of modern computational capabilities. The rapid growth of renewable power generation, the increased use of electric vehicles, and the growing need to integrate customers with the power system are rendering the current generation of grid operating systems obsolete.

    This project creates an integrated grid management framework akin to having an autopilot system for the grid's interconnected components — from central and distributed energy resources at bulk power systems and distribution systems, to local control systems for energy networks, including building management systems.

    Location

    Livermore, CA

    Collaborators

    • Mark Rice, Engineer, PNNL
    • Yingcheng Zhang, Manager, NREL
    • Cesar A. Silva-Monroy, Engineer, SNL
    • Sidhant Misra, Engineer, LANL
    • Zhi Zhou Zhou, Engineer, ANL

    For More Information:

  • Unified Remedial Action Scheme (RAS) Modeling and Simulation Tool for Grid Resiliency, Bonneville Power Administration (10/1/2016 - 3/31/2018)

    Traditionally, RAS is modeled as specialized scripts or as events as part of the contingency in software tools like PSLF or PSS/E. WECC launched an effort to develop common file format for RAS so that different software tools can read and write the RAS models from the WECC common file format. This will enable utilities using different software products to exchange the same RAS models and model them properly. GE worked with WECC to support the common RAS file format in PSLF. The
    initial WECC efforts were focused on steady state RAS models only The project team will extend the ongoing WECC RAS
    efforts to transient stability and build the framework to simulate steady state RAS models in transient stability in PSLF.

    Location

    Livermore, CA

    Collaborators

    • Edison Elizeh, Corporate Strategy, BPA
    • Brain Thomas, Manager, General Electric
    • Ramu RAmanathan, CEO, Maxisys
  • DER Siting and Optimization Tool for California, Department of Energy (4/1/2016 - 3/31/2018)

    This project will deliver to the California Public Utilities Commission (CPUC), California Investor Owned Utilities (IOUs) and other relevant stakeholders, an integrated distributed resource planning and optimization platform, hosted online, able to identify meaningful behind-the-meter Distributed Energy Resources (DER) adoption patterns, potential microgrid sites and demand-side resources, and evaluate the impacts of high renewable penetration feeders on the distribution and transmission grid.

    Location

    Livermore, CA

    Collaborators

    • John Grosh, Deputy Associate Director, LLNL
    • Goncalo Cardoso, Engineer, LBNL
    • Sila Kiliccote, Group Leader, SLAC
    • Anthony Florita, Engineer, NREL
    • Robert Lofaro, Manager, BNL
    • Jianhui Wang, Manager, ANL
  • Large-Scale Integrated Electric-Transmission and Distribution-Grid Dynamic Simulation, Lawrence Livermore National Lab (10/1/2012 - 9/30/2015)

    Tomorrow’s electric grid will increasingly include renewable resources and electric energy storage in both transmission (delivering power from generation to distribution circuits) and distribution (delivering power from distribution circuits to consumers). This electric grid will require simulations that can ensure reliable long-term operation of an extremely complex system comprised of millions of distributed units. We have developed the first platform in the power energy community supporting large-scale integrated transmission and distribution systems simulation. We created a modeling and simulation tool that can be used for integrated analysis of transmission, distribution, and communication networks. A high-performance coupled transmission and distribution simulator was developed for electric-power-grid simulation, and two case studies were conducted to evaluate the performance of the simulator.

    Location

    Lawrence Livermore National Lab

    Collaborators

    • Carol Woodward, Project Leader Center for Applied Scientific Computing, Lawrence Livermore National Lab
    • Steve Smith, Staff scientist, Lawrence Livermore National Lab
    • Philip Top, Staff Engineer, Lawrence Livermore National Lab
    • Brian Kelley, Engineer, Lawrence Livermore National Lab
    • Yining Qin, Engineer, Lawrence Livermore National Lab
    • Mert Korkali, Postdoc, Lawrence Livermore National Lab

    For More Information:

  • Probabilistic Transmission Congestion Forecasting, California Institute for Energy and Environment (3/1/2006 - 3/1/2008)

    Location

    Palo Alto, CA

    Collaborators

    • Stephen Lee, Technical Executive, EPRI

    For More Information:

  • Fast Fault Screening for Real-Time Transient Stability Assessment, NYSERDA (10/1/2006 - 9/30/2010)

    Location

    Palo Alto, CA

    Collaborators

    • Stephen Lee, Technical Executive, EPRI
    • Marianna Vaiman, COO, V&R Energy System Research, Inc

    For More Information:

Patents


  • Liang Min, Nan Duan. "United States Patent Appl. No.: 16/997872 Voltage Stability Smart Meter", Lawrence Livermore National Security, LLC, Aug 19, 2020
  • Liang Min, Can Huaang. "United States Patent Appl. No.: 16/988,171 SYNCHRONIZED ELECTRIC METER HAVING AN ATOMIC CLOCK", Lawrence Livermore National Security, LLC, Aug 7, 2020
  • Xiao Chen, Can Huang, Liang Min, Charanraj Thimmisetty, Charles Tong. "United States Patent United States Patent Appl. No.: 16/721588 Computational framework for modeling of physical process", Lawrence Livermore National Security, LLC, Jun 25, 2020
  • Pei Zhang, Liang Min, Jian Chen. "United States Patent US8126667B2 Measurement based voltage stability monitoring and control", Electric Power Research Institute, Feb 28, 2012
  • Pei Zhang, Liang Min, Nan Zhang. "United States Patent US7603203B2 Method for voltage instability load shedding using local measurements", Electric Power Research Institute, Oct 13, 2009

Personal Interests


In his spare time, he is an avid marathoner.

Work Experience


  • Group Leader, Energy Delivery and Utilization, Lawrence Livermore National Laboratory (1/1/2017 - 6/7/2019)

    Location

    Livermore, CA

  • Associate Program Leader, Cyber and Infrastructure Resilience, Lawrence Livermore National Laboratory (1/1/2016 - 6/7/2019)

    Group Leader of Energy Delivery/Utilization in Engineering Directorate, Associate Program Leader of LLNL's Cyber/Infrastructure Resilience program.

    Location

    Livermore, CA

  • Research Director, Electric Operations program, CES-21, Lawrence Livermore National Laboratory (11/7/2011 - 1/1/2016)

    Location

    Livermore, CA

  • Senior Project Manager, Electric Power Research Institute (3/6/2006 - 11/4/2011)

    Location

    Palo Alto, CA

All Publications


  • Power Distribution System Synchrophasor Measurements With Non-Gaussian Noises: Real-World Data Testing and Analysis IEEE Open Access Journal of Power and Energy Huang, C., Thimmisetty, C., Chen, X., Stewart, E., Top, P., Korkali, M., Donde, V., Tong, C., Min, L. 2021; 8: 223-228
  • Smart Meters Enabling Voltage Monitoring and Control Functionalities: The Last-Mile Voltage Stability Issue IEEE Transactions on Industrial Informatics Duan, N., Huang, C., Sun, C., Min, L. 2021

    View details for DOI 10.1109/TII.2021.3062628

  • Risk Assessment of Rare Events in Probabilistic Power Flow via Hybrid Multi-Surrogate Method IEEE TRANSACTIONS ON SMART GRID Xu, Y., Korkali, M., Mili, L., Chen, X., Min, L. 2020; 11 (2): 1593–1603
  • A Bayesian Approach to Real-Time Dynamic Parameter Estimation Using PMU Measurement 2020 IEEE Power & Energy Society General Meeting (PESGM) Xu, Y., Chen, X., Mili, L., Korkali, M., Min, L. 2020
  • UPS: Unified PMU-Data Storage System to Enhance TD PMU Data Usability IEEE TRANSACTIONS ON SMART GRID Kosen, I., Huang, C., Chen, Z., Zhang, X., Min, L., Zhou, D., Zhu, L., Liu, Y. 2020; 11 (1): 739-748
  • Robust Medium-Voltage Distribution System State Estimation using Multi-Source Data 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) Zhao, J., Huang, C., Mili, L., Zhang, Y., Min, L. 2020
  • Response-Surface-Based Bayesian Inference for Power System Dynamic Parameter Estimation IEEE TRANSACTIONS ON SMART GRID Xu, Y., Huang, C., Chen, X., Mili, L., Tong, C. H., Korkali, M., Min, L. 2019; 10 (6): 5899-5909
  • Potential Benefits of Vehicle-to-Grid Technology in California IEEE ELECTRIFICATION MAGAZINE Donadee, J., Shaw, R., Garnett, O., Cutter, E., Min, L. 2019; 7 (2): 40-45
  • A JModelica.org Library for Power Grid Dynamic Simulation with Wind Turbine Control 2019 IEEE Power & Energy Society General Meeting (PESGM) Qin, Y., Koakali, M., Top, P., Min, L. 2019
  • Demand Side Energy Management Under Emergency Conditions Chen, Z., Minb, L., Huang, C., Zhang, W. 2018: 1-5
  • Guest Editorial High Performance Computing (HPC) Applications for a More Resilient and Efficient Power Grid IEEE TRANSACTIONS ON SMART GRID Huang, Z., Tate, Z., Abhyankar, S., Dong, Z., Khaitan, S., Min, L., Taylor, G. 2017; 8 (3): 1363-1365
  • Integration of functional mock-up units into a dynamic power systems simulation tool 2016 IEEE Power and Energy Society General Meeting (PESGM) Top, P., Qin, Y., Min, L. 2016
  • A Hybrid Framework for Online Dynamic Security Assessment Combining High Performance Computing and Synchrophasor Measurements 2015 IEEE Power & Energy Society General Meeting Farantatos, E., Del Rosso, A., Bhatt, N., Sun, K., Liu, Y., Min, L., Jing, C., Ning, J., Parashar, M. 2015
  • A federated simulation toolkit for electric power grid and communication network co-simulation 2015 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES) Kelley, B. M., Top, P., Smith, S. G., Woodward, C. S., Min, L. 2015
  • High performance computation tools for real-time security assessment 2014 IEEE PES General Meeting | Conference & Exposition Del Rosso, A., Min, L., Jing, C. 2014
  • On-line transient stability analysis using high performance computing IEEE ISGT 2014 Smith, S. G., Woodward, C., Min, L., Jing, C., Del Rosso, A. 2014
  • Micro Behavior Information Decision Research in An ABM Traffic and Energy Model Qin, Y., Jim, G., Min, L., Yao, Y., IEEE IEEE. 2013: 22-27
  • Advancing the adoption of advanced computing methods and technologies for real-time control center operations 2012 IEEE Power and Energy Society General Meeting Wigington, A., Min, L., L, C., Murray, W., Narayan, A. 2012
  • Utility application experience of Probabilistic Risk Assessment method IEEE/PES Power Systems Conference and Exposition Zhang, P., Min, L., Hopkins, L., Fardanesh, B., Patro, P., Useldinger, J., Graham, M., Ramsay, D. 2009
  • Voltage Stability Margin Computation and Visualization for Tri-State South Colorado Area using EPRI Power System Voltage Stability Region (PSVSR) Program 2009 Asia-Pacific Power and Energy Engineering Conference Wei, W., Zhang, P., Min, L., Graham, M., Ramsay, D. 2009
  • Utility application experience of Probabilistic Risk Assessment method 2009 IEEE/PES Power Systems Conference and Exposition Zhang, P., Min, L., Hopkins, L., Fardanesh, B., Patro, P., Useldinger, J., Graham, M., Ramsay, D. 2009
  • Short-term probabilistic transmission congestion forecasting Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies Min, L., Lee, S., Zhang, P., Rose, V., Cole, J. 2008
  • Utility Experience Performing Probabilistic Risk Assessment for Operational Planning 2007 International Conference on Intelligent Systems Applications to Power Systems Zhang, P., Min, L., Hopkins, L., Fardanesh, B. IEEE. 2007
  • A Probabilistic Load Flow with Consideration of Network Topology Uncertainties 2007 International Conference on Intelligent Systems Applications to Power Systems Min, L., Zhang, P. 2007
  • Total transfer capability computation for multi-area power systems IEEE TRANSACTIONS ON POWER SYSTEMS Min, L., Abur, A. 2006; 21 (3): 1141-1147
  • REI-equivalent based decomposition method for multi-area TTC computation Min, L., Abur, A., IEEE IEEE. 2006: 506-+
  • A decomposition method for multi-area OPF problem Min, L., Abur, A., IEEE IEEE. 2006: 1689-+
  • Two-level multi-area TTC calculation by updating power transfer distribution factors IEEE Power Engineering Society General Meeting, 2005 Min, L., Zhao, L., Abur, A. IEEE. 2005

    View details for DOI 10.1109/PES.2005.1489676

  • Multi-area transfer capability evaluation using voltage stability constraints Min, L., Abur, A., IEEE IEEE. 2005: 332-337