Fang Yang Ph.D.

Assistant Professor

Electrical Engineering
University of Wisconsin Platteville

Office: U1032
Phone: 920.832.2647
Fax: 920.832.0105
Email: yangfan AT uwplatt.edu
Lab: LY Grid Innovation


Fang Yang received her B.S. and M.S. degrees in Electrical Engineering at North China Electric Power University in 1992 and 1995, respectively. From 1995 to 2000, she worked as an assistant professor and lecturer at the same department and university. In 2002, she received M.S. degree in Electrical and Computer Engineering at Tennessee Technological University. In 2007, she earned her Ph.D. degree from the school of Electrical and Computer Engineering at the Georgia Institute of Technology under Prof. A P Meliopoulos’s supervision. From 2007 to 2013, she worked in ABB Inc. US Corporate Research Center first as a scientist and then as a principal scientist, where she was responsible for advacned research projects, technology transfer, and university collaborations. In 2013, she joined the EE faculty at Univerisity of Wisconsin Platteville as an assistant professor.

Research Interests


  • Power system high performance
    computation

  • Distribution system management
    and automation

  • Big data integration and analysis
    in power system

  • Bulk power system reliability
    assessment

Distinctions


  • Principal scientist at ABB Inc.

  • Principal investigator of significant projects in ABB

  • Author of four U.S. patents and three patent applications

  • The Solute Award in ABB Inc. US Corporate Research Center 2008

  • The First Prize Paper Award in PMAPS 2006

  • The Excellent Teacher Award in North China Electric Power University (1997)


Fall 2016


  • EE1210 Circuit Modeling I

  • EE3320 Automatic Controls


Previous Courses


  • EE1210 Circuit Modeling I

  • EE2210 Circuit Modeling II

  • EE3410 Electric Power Engineering

  • EE4450 Power System Analysis and Design


Technical Program Committee Member


  • IEEE Power Engineering Society (Since 2007)

  • IEEE PES Power System Analysis, Computing and Economics (PSACE)
    Computing and Analytical Methods (CAM) Subcommittee (Since 2008)

  • IEEE Power Engineering Society Distribution Management System Task
    Force (Since 2013)

  • IEEE Power Engineering Society Smart Distribution Work Group
    (Since 2013)

  • Chinese Society for Electrical Engineering (Since 1995)


Journal and Conference Reviewer


  • Reviewer for IEE Power Engineering Letters

  • Reviewer for Journal of IET Generation, Transmission, and Distribution

  • Reviewer for IEEE Power Engineering Society (PES) Transactions

  • Reviewer for Proceedings of Chinese Society for Electrical
    Engineering (China)

  • Reviewer for the Journal of Power System Technology (China)

  • Reviewer for the Conferences of IEEE PES GM 2015, PECON 2014,
    PowerTech 2009, PSCE 2006, PSCC 2005

Grants


  • UWP Faculty Professional Development Funds

  • UWP Scholarly Activity Improvement Funds


Patents

  1. Load Restoration for Feeder Automation in Electric Power Distribution Systems, US Patent 9088160, July 21, 2015.

  2. Voltage Regulation Optimization, US Patent 8,588,993, November 19, 2013.

  3. Feeder automation for an electric power distribution system, US Patent 8121740, February 21, 2012.

  4. Short-term load forecasting based capacity check for automated power restoration of electric distribution networks, US Patent 7979222, July 12, 2011.

Papers

  1. Fang Yang, Zhao Li, “Improve Distribution System Energy Efficiency with Coordinated Reactive Power Control” Accepted by IEEE Transaction on Power System.

  2. Zhao Li, Fang Yang, Salman Mohagheghi, Zhenyuan Wang, J. C. Tournier, Yi Wang, “Toward Smart Distribution Management by Integrating Advanced Metering Infrastructure,” Electric Power Systems Research, No. 3, Vol. 105, pp. 51-56, December 2013.

  3. Fang Yang, A. P. Sakis Meliopoulos, George J. Cokkinides, George K. Stefopoulos, “A Bulk Power System Reliability Assessment Methodology,” European Transactions on Electric Power, Vol. 17, No. 4, pp. 413-425, July/August 2007.

  4. Ali T. Alouani, D. Fugate, Fang Yang, “Systematic Fuzzy Logic based Control of the Load Sway of a Crane System,” Control and Intelligent Systems, Vol. 31, No. 1, 2003.