Wei-Jen Lee (S’85-M’85-SM’97-F’07) received the B.S. and M.S. degrees from National Taiwan University, Taipei, Taiwan, R.O.C., and the Ph.D. degree from the University of Texas, Arlington, in 1978, 1980, and 1985, respectively, all in Electrical Engineering.

In 1985, he joined the University of Texas at Arlington, where he is currently a professor of the Electrical Engineering Department and the director of the Energy Systems Research Center.

Prof. Lee has been involved in research on utility deregulation, renewable energy, smart grid, microgrid, arc flash and electrical safety, load forecasting, power quality, distribution automation and demand side management, power systems analysis, online real time equipment diagnostic and prognostic system, and microcomputer based instrument for power systems monitoring, measurement, control, and protection. He has served as the primary investigator (PI) or Co-PI of over ninety funded research projects. He has published more than three hundred and fifty journal papers and conference proceedings. He has provided on-site training courses for power engineers in Panama, China, Taiwan, Korea, Saudi Arabia, Thailand, and Singapore. He has refereed numerous technical papers for IEEE, IET, and other professional organizations.

Prof. Lee is a Fellow of IEEE and registered Professional Engineer in the State of Texas.

He has been involved in the following IAS related activities:

·  Project Manager, IEEE/NFPA Arc Flash Phenomena Sept. 2008 – Present

Collaborative Research Project

·  Chair, IEEE-IAS, Industrial & Commercial Power Systems Jan. 2015 – Present

Department (I&CPSD)

·  Vice Chair-Technical, IEEE-IAS, I&CPSD Jan. 2013 – Dec. 2014

·  Vice Chair-Paper, IEEE-IAS, I&CPSD Jan. 2011 – Dec. 2012

·  Secretary, IEEE-IAS, I&CPSD Jan. 2007 – Dec. 2010

·  Working Group Member of IEEE dot 3000 series 2010 – Present

·  Working Group Member of IEEE Std. 141, 339, 551, and 739 May 1991 – May 2006

·  Associate Editor, IEEE Transactions on Industry Applications Dec. 2007 – Present

·  Guest Editor, IEEE Transactions on Smart Grid Jan. 2013 – Present

·  Chair, Energy Systems Committee of IEEE-IAS, I&CPSD Jan. 2005 – May 2009

·  Chair, Power System Analysis Sub-Committee, Power May 2002 – May 2003

Systems Engineering Committee of IEEE-IAS, I&CPSD

·  Vice Chair, Utility Deregulation Subcommittee, Energy May 2000 – May 2009

System Committee of IEEE-IAS, I&CPSD

·  Vice Chair, Emergency and Standby Power System Subcommittee May 2000 – May 2002

Power System Engineering Committee of IEEE-IAS, I&CPSD

·  Chair, Power System Engineering Committee of IEEE-IAS, I&CPSD Jan. 1997 – Dec. 1998

·  Vice Chair, Power System Engineering Committee of IEEE-IAS, I&CPSD Jan. 1995 – Dec. 1996

·  Secretary, Power System Analysis Sub-Committee, Power May 1992 – May 1995

Systems Engineering Committee of IEEE-IAS, I&CPSD

Contact information

Energy Systems Research Center University of Texas at Arlington, USA

Tel: (817) 272-5046

Email:

Lecture Topics

1.  Arc Flash Hazard and Electrical Safety

Abstract: Though electrical incidents represent a relatively small percentage of all work-related incidents, they are disproportionately fatal and, in the case of burns, may result in extended hospitalization and rehabilitation. On average, approximately 5 to 10 arc flash explosions occur on the job every day in the United States. Proper protection is the key to reduce casualties during these incidents. IEEE 1584 and NFPA 70E are developed to protect the safety of the workers. Several areas of arc flash phenomena need further research and testing validation.

The IEEE and the NFPA (National Fire Protection Association) have joined forces on an initiative to fund and support research and testing to improve the understanding of arc flashes. The results of this collaborative project will provide information that will be used to improve electrical safety standards, predict the hazards associated with arcing faults and accompanying arc blasts, and provide practical safeguards for employees in the workplace. The identified areas include but are not limited to: 1) Heat and Thermal Effects, 2) Blast Pressure, 3) Sound, and 4) Light intensity.

This presentation will cover the basic understanding of the arc flash, performing the arcing current and incident energy calculation, and the procedures that have been carried out to perform tests, data analysis, and model development.

2.  Trend of the Smart Grid Development

Abstract: The electrical power system in the US has been named as "the supreme engineering achievement of the 20th century" by the National Academy of Sciences. While the power system is a technological marvel, it is also reaching the limit of its ability to meet the nation's electricity needs. In addition, our nation is moving into the digital information age that demands higher reliability from the nation's aging electrical delivery system.

The modernization of the electricity infrastructure leads to the concept of “smart grid”. A comprehensive smart grid design should cover both top-down and bottom-up approaches. For the current centralized generation and transmission system, upgrading the power delivery infrastructure, enforcing the system security requirement, and increasing interoperability are well known techniques to improve the reliability and the controllability of the power system. For the bottom-up approach, one of the most important features is its ability to support a more diverse and complex network of energy technologies. Specifically, it will be able to seamlessly integrate an array of locally installed, distributed power sources with smaller CO2 footprint, such as fuel cells, photovoltaic, and wind generation, into the power system.

This presentation discusses the opportunities and challenges for the development of Smart Grid, highlights the smart grid related researches that I have been involved recently, and explores the possibility for future collaborations. The presentation concludes with the listing of issues needed to be addressed to ensure successful integration procedures that will eventually create new structures of efficient, modular and environmentally responsive electricity infrastructure that will have an impact nationally as well as globally.

3.  Seamless Integration of Renewable Energy

Abstract: Wind energy has gained extensive interest and has become one of the most mature renewable energy alternatives to the conventional fuel-based resources. The development of wind power generation has rapidly progressed over the last decade. Records show that the total installation capacity of wind power generation has exceeded 50GW in the US. According to the record from National Renewable Energy Laboratory, Texas is the No. 1 in US regarding the installation capacity of wind generation facilities.

Despite various benefits of the wind power, an integration of wind energy into the electric grid is difficult to manage. The main challenge is associated with its unpredictability. Due to the irregularity of wind, the power generated from wind rapidly fluctuates, imposing challenges both in terms of operation and planning.

This presentation describes the development, potential impact, challenges, and research opportunities of integration of wind generation into smart grid.

4.  PMU Based Dynamic Equivalent Model Development for Large Scale Wind Farms

Abstract: An increasing number of wind turbine generators (WTGs) are being installed in modern power system networks. As a result, substantial achievements have been made in developing generic wind models to represent the dynamic behavior of WTGs on the grid. The Western Electricity Coordinating Council (WECC) has developed and proposed four generic models for positive sequence stability analysis of WTG. These models provide a good first step to simulate the dynamic response of WTGs on the power system grid. Since it requires accurate parameters to predict the true response of the WTG, challenges associated with the simulation of dynamic response of WTGs in the field still remain.

This presentation discusses a procedure to estimate parameters of dynamic equivalent model of WTG by using the measurement data from Phasor Measurement Units (PMUs). Hybrid dynamic simulation is used to reduce external system by employing an input signal on PMU bus. Stochastic approximation is adopted in searching optimized model parameter values. A two-WTG subsystem in Electric Reliability Council of Texas (ERCOT) is presented as a case study to address the importance of a correct model in system operation strategy. Two most commonly used generic WTG models have been utilized to demonstrate the effectiveness of the proposed approach.