Toward Real-Time Monitoring, Look-Ahead Assessment and Forecasting Engine for Active Distribution Networks [SmartGrid Seminar]

Toward Real-Time Monitoring, Look-Ahead Assessment and Forecasting Engine for Active Distribution Networks
Thursday, May 4, 2017 - 1:30pm
Shriram 104
Hsiao-Dong Chiang (Cornell University)
Abstract / Description: 

United Kingdom Power Networks (UKPN) provides power to a quarter of the UK's population via its electricity distribution networks in London that span to the east and southeast of England. This talk will present an advanced distribution analytics power network tool (ADAPT) codeveloped by BSI and UKPN. ADAPT is an advanced real-time monitoring, state estimation platform, contingency analysis, corrective control. In addition, look ahead platform (30 minutes to 2 hours ahead) offers look-ahead assessment of the network taking the uncertainties of renewable energy into account. ADAPT completes with energy forecasting tools which provide input into forecasting future system cases (e.g. 1 hour ahead to 24 hours ahead). ADAPT has several key features such as: State Estimation, Power flow, Contingency Analysis, Interactive Single Line Diagram (132 kV, 33 kV, and external connections), Energy forecaster for load, solar, and wind, Corrective control for removing violations in the system. The ADAPT platform provides operators and engineers real-time situational awareness and facilitates network reliability management as new distributed generation comes online. It also enhances the capability of outage planners to minimize constraints placed on the output from distributed generators during the summer maintenance season and during any major construction and reconfiguration activities. The Look-Ahead mode allows engineers to include the uncertainty of renewable output as well as energy forecasting to produce cases with new renewable contingencies and alternate dispatch cases. Some challenges faced during the development of ADAPT will also be presented. A by-product of the tool's analysis capabilities can also identify root causes of system and component power losses as well as ways to minimize them. Some challenges and theoretical issues faced during the development of ADAPT will also be presented.

This quarter's speakers are renowned experts in power and energy systems, and we believe they will bring novel insights and fruitful discussions to Stanford. This seminar is offered as a 1 unit seminar course, CEE 272T/EE292T for interested students. This course can be repeated for credit for the students.

SmartGrid Seminar Organization Team:

  • Ram Rajagopal, Assistant Professor, Civil and Environmental Engineering
  • Chin-Woo Tan, Director, Stanford Smart Grid Lab
  • Wenyuan Tang, Postdoctoral Scholar, Civil and Environmental Engineering
  • Yuting Ji, Postdoctoral Scholar, Civil and Environmental Engineering
  • Emre Kara, Associate Staff Scientist, SLAC


Hsiao-Dong Chiang (M'87-SM'91-F'97) received the Ph.D. degree in EECS from the University of California, Berkeley. He has been a professor in the School of Electrical and Computer Engineering at Cornell University, Ithaca, NY since 1998. He holds 20 U.S. and overseas patents and several consultant positions. He and his research team have published more than 380 papers in refereed journals and conference proceedings. His current research interests include theoretical development and practical applications of nonlinear system theory, nonlinear computations, nonlinear optimization methods, and their practical applications to electric circuits. Dr. Chiang is Founder of Bigwood Systems Inc. (in 1995) and Founder of Global Optimal Technology Inc. (in 2000), New York. He served as Associate editor for IEEE Transactions on Circuits and Systems for two terms and is currently Associate editor of IEEE Journal of Selected Emerging Circuits and Systems. He is the author of two books entitled Direct Methods for Stability Analysis of Electric Power Systems: Theoretical Foundation, BCU Methodologies, and Applications, John Wiley and Sons, 2011, and (with L. F. C. Alberto) Stability Regions of Nonlinear Dynamical Systems: Theory, Optimal Estimation, and Applications, Cambridge Press, 2015.