Bio

Dr. Liang Min is the Managing Director of the Bits & Watts Initiative at Stanford University, where he leads a multidisciplinary program advancing the digital transformation of the electric grid. Under his direction, Bits & Watts has launched several pioneering research efforts, including 100% Clean Electric Grid, EV50, AI for Climate and Energy, and the Digital Grid—an open platform designed to integrate distributed energy resources (DERs) at scale. Most recently, he launched the Powering AI Sustainably program, a cross-sector program addressing the surging energy demands of artificial intelligence while accelerating the transition to a clean and reliable power system.

Dr. Min also serves as the founding Managing Director of the Stanford Net-Zero Alliance, a global platform that brings together industry leaders, faculty, and students to collaborate on research and education aligned with a net-zero emissions future. He also established the Stanford Energy Executive Education Program, which equips senior energy leaders with the strategic insight and tools needed to navigate the rapidly evolving energy landscape.

His career spans leadership roles across academia, national laboratories, and industry. At the Electric Power Research Institute (EPRI), Dr. Min led the grid operations and planning team and directed phasor measurement unit (PMU) research, resulting in multiple U.S. patents deployed at utilities through the support of the American Recovery and Reinvestment Act. At Lawrence Livermore National Laboratory, he founded the Energy Delivery Group and served as associate program leader for the lab’s national cyber and infrastructure resilience program. He also directed the Electric Operations Program for California’s Energy Systems for the 21st Century (CES-21)—a $150 million public-private initiative leveraging high-performance computing to enhance grid reliability, security, and value to ratepayers.

Outside of work, he is an avid runner with the personal best marathon time of 2 hours and 50 minutes.

Current Role at Stanford

Managing Director for the Bits and Watts Initiative, Precourt Institute for Energy
Managing Director for the Net-Zero Alliance, Stanford Doerr School of Sustainability

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 Huang. "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.

Contact

  • Work
    liangmin@stanford.edu
    University - Staff Department: Precourt Institute for Energy Position: Managing Director Bits & Watts Initiative
    • 473 VIA ORTEGA
    • Room 389
    • STANFORD,  California  94305 

Additional Info

  • Mail Code: 4240

2024-25 Courses

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

  • Adoption of Artificial Intelligence by Electric Utilities Energy Law Journal Slate, D. D., Parisot, A., Min, L., Panciatici, P., Hentenryck, P. V. 2024; 45 (1): 1-23
  • The Pandemic an unprecedented impact to grid operation IEEE POWER & ENERGY MAGAZINE Min, L., Li, F. 2022; 20 (6): 14-15

    View details for DOI 10.1109/MPE.2022.3199949

    View details for Web of Science ID 000870294300004

  • Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption NATURE ENERGY Powell, S., Cezar, G., Min, L., Azevedo, I. L., Rajagopal, R. 2022

    View details for DOI 10.1038/s41560-022-01105-7

    View details for Web of Science ID 000860193900001

  • Decentralized and Coordinated V-f Control for Islanded Microgrids Considering DER Inadequacy and Demand Control IEEE TRANSACTIONS ON ENERGY CONVERSION She, B., Li, F., Cui, H., Wang, J., Min, L., Oboreh-Snapps, O., Bo, R. 2023; 38 (3): 1868-1880

    View details for DOI 10.1109/TEC.2023.3258919

    View details for Web of Science ID 001054809000001

  • The COVID-19 Boost for Clean Electricity IEEE POWER & ENERGY MAGAZINE Li, F., Li, X., Sun, H., Di Ninno, F., Quaglia, F., Cunha, G., Moreno, R., Flores, W. C., Chamorro, H. R., Min, L. 2022; 20 (6): 56-65

    View details for DOI 10.1109/MPE.2022.3199896

    View details for Web of Science ID 000870294300009

  • 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

    View details for DOI 10.1109/OAJPE.2021.3081503

  • 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

    View details for DOI 10.1109/TSG.2019.2940928

    View details for Web of Science ID 000519592100058

  • A Bayesian Approach to Real-Time Dynamic Parameter Estimation Using Phasor Measurement Unit Measurement IEEE TRANSACTIONS ON POWER SYSTEMS Xu, Y., Mili, L., Chen, X., Korkali, M., Min, L. 2020; 35 (2): 1109–19

    View details for DOI 10.1109/TPWRS.2019.2942133

    View details for Web of Science ID 000527518700025

  • 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

    View details for DOI 10.1109/PESGM41954.2020.9281854

  • A Bayesian Approach to Real-Time Dynamic Parameter Estimation Using PMU Measurement Xu, Y., Chen, X., Mili, L., Korkali, M., Min, L., IEEE IEEE. 2020

    View details for Web of Science ID 000679246602012

  • 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

    View details for DOI 10.1109/TSG.2019.2916570

    View details for Web of Science ID 000507338700066

  • 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

    View details for DOI 10.1109/ISGT45199.2020.9087787

  • 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

    View details for DOI 10.1109/TSG.2019.2892464

    View details for Web of Science ID 000507947800004

  • 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

    View details for DOI 10.1109/MELE.2019.2908793

    View details for Web of Science ID 000470999300006

  • 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

    View details for DOI 10.1109/PESGM40551.2019.8974097

  • Demand Side Energy Management Under Emergency Conditions Chen, Z., Minb, L., Huang, C., Zhang, W. 2018: 1-5

    View details for DOI 10.1109/PESGM.2018.8586173

  • Demand Side Energy Management Under Emergency Conditions Chen, Z., Min, L., Huang, C., Zhang, W., IEEE IEEE. 2018

    View details for Web of Science ID 000457893901167

  • 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

    View details for DOI 10.1109/TSG.2017.2690478

    View details for Web of Science ID 000399990200031

  • 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

    View details for DOI 10.1109/PESGM.2016.7742008

  • 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

    View details for DOI 10.1109/PESGM.2015.7286581

  • A Federated Simulation Toolkit for Electric Power Grid and Communication Network Co-simulation Kelley, B. M., Top, P., Smith, S. G., Woodward, C. S., Min, L., IEEE IEEE. 2015

    View details for Web of Science ID 000380407000013

  • 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

    View details for DOI 10.1109/MSCPES.2015.7115406

  • High performance computation tools for real-time security assessment 2014 IEEE PES General Meeting | Conference & Exposition Del Rosso, A., Min, L., Jing, C. 2014

    View details for DOI 10.1109/PESGM.2014.6939091

  • 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

    View details for DOI 10.1109/ISGT.2014.6816438

  • 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

    View details for DOI 10.1109/GreenTech.2013.87

    View details for Web of Science ID 000325778400004

  • 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

    View details for DOI 10.1109/PESGM.2012.6345088

  • Advancing the Adoption of Advanced Computing Methods and Technologies for Real-Time Control Center Operations General Meeting of the IEEE-Power-and-Energy-Society Wigington, A., Min, L., Li, C., Murray, W., Narayan, A. IEEE. 2012

    View details for Web of Science ID 000312493703091

  • 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

    View details for DOI 10.1109/PSCE.2009.4840105

  • Utility Application Experience of Probabilistic Risk Assessment Method Zhang, P., Min, L., Hopkins, L., Fardanesh, B., Patro, P., Useldinger, J., Graham, M., Ramsay, D., IEEE Power & Energy Soc IEEE. 2009: 770-+

    View details for Web of Science ID 000271244500130

  • Voltage Stability Margin Computation and Visualization for Tri-State South Colorado Area using EPRI Power System Voltage Stability Region (PSVSR) Program Wei, W., Zhang, P., Min, L., Graham, M., Ramsay, D., IEEE IEEE. 2009: 1248-+

    View details for Web of Science ID 000270497300292

  • 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

    View details for DOI 10.1109/APPEEC.2009.4918963

  • 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

    View details for DOI 10.1109/PSCE.2009.4840105

  • 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

    View details for DOI 10.1109/DRPT.2008.4523508

  • Short-term probabilistic transmission congestion forecasting Min, L., Lee, S. T., Zhang, P., Rose, V., Cole, J., IEEE IEEE. 2008: 764-770

    View details for Web of Science ID 000259032600139

  • 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

    View details for DOI 10.1109/ISAP.2007.4441588

  • Utility experience performing probabilistic risk assessment for operational planning Zhang, P., Min, L., Hopkins, L., Fardanesh, B., IEEE IEEE. 2007: 12-+

    View details for Web of Science ID 000255099900003

  • A Probabilistic load flow with consideration of network topology uncertainties Min, L., Zhang, P., IEEE IEEE. 2007: 7-11

    View details for Web of Science ID 000255099900002

  • 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

    View details for DOI 10.1109/ISAP.2007.4441587

  • Total transfer capability computation for multi-area power systems IEEE TRANSACTIONS ON POWER SYSTEMS Min, L., Abur, A. 2006; 21 (3): 1141-1147

    View details for DOI 10.1109/TPWRS.2006.876690

    View details for Web of Science ID 000239355300014

  • REI-equivalent based decomposition method for multi-area TTC computation Min, L., Abur, A., IEEE IEEE. 2006: 506-+

    View details for Web of Science ID 000244311700107

  • A decomposition method for multi-area OPF problem Min, L., Abur, A., IEEE IEEE. 2006: 1689-+

    View details for DOI 10.1109/PSCE.2006.296167

    View details for Web of Science ID 000247029803055

  • 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

    View details for DOI 10.1109/NAPS.2005.1560549

    View details for Web of Science ID 000235159300046

  • Two-level multi-area TTC calculation by updating power transfer distribution factors Min, L., Zhao, L., Abur, A., IEEE IEEE. 2005: 491-496

    View details for Web of Science ID 000232799400075