Dr. Yuan Liao

Associate Professor

Department of Electrical and Computer Engineering

University of Kentucky

Lexington, KY 40506

Office: 691 F Paul Anderson Tower

Email: yliao@engr.uky.edu

Phone: 859-257-6064

Fax:     859-257-3092

 

A Brief Biography

Dr. Yuan Liao is currently an associate professor at the Department of Electrical and Computer Engineering at the University of Kentucky. Dr. Yuan Liao obtained his Ph.D. in Electrical Engineering from Texas A& M University, College Station, Texas in 2000. He worked as a consulting R&D engineer and then principal consulting R&D engineer at the Corporate Research Center of ABB Inc., Raleigh, North Carolina from 2000 to 2005 before he joined the University of Kentucky. He has worked on projects in areas of fault location, high performance decomposition techniques for large scale resource scheduling optimization, development of a competitive power market simulator- GridView, fault tolerant NMS/SCADA, system expansion and distributed generation siting, asset management, power quality analysis, power system angle and voltage stability analysis, and fault type classification.

 

Research Interests

Protective relaying; Power quality monitoring and analysis; Power system economics and optimization; Applications of signal processing and intelligent techniques; Energy management system; Renewable energy.

 

Specifically, we are interested in the following areas:

-       Fault location: locating faults in transmission and distribution systems utilizing voltage and current measurements;

-       Protective relaying: developing real-time algorithms and systems for protecting power generation, transmission and distribution systems.

-       Power quality monitoring and analysis: designing automated system for classifying and analyzing power quality events;

-       Power system economics and optimization: developing algorithms for solving large scale generation resource scheduling optimization problems, and modeling and simulating power markets;

-       Renewable energy integration: studying issues related to integration of renewable energy into the grid;

-       Smart grid: investigating advanced algorithms and systems for monitoring, protection, and control of future power grid;

-       Intelligent techniques: applying fuzzy logic, neural network, and genetic algorithms for solving power system problems.

 

Teaching

EE 537 Electric Power System Analysis I

EE 415 Electric Machines

EE 599/699 Electric Power System Generation, Operation and Control

EE 599/699 Electric Power System Fault Analysis and Protection

EE 699 Power System Analysis Using Advanced Software

 

Assistantship Positions

Teaching Assistantship positions are available through Power and Energy Institute of Kentucky (http://www.engr.uky.edu/power/) for Ph.D. students interested in power area. For more information, contact Yuan Liao at yliao@engr.uky.edu.