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Electric Power Technical Interest Group. ECE offers one of the country’s leading undergraduate and graduate academic programs in electric power engineering Broad range of activities relative to peers in power: power systems power electronics and controls

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electric power technical interest group

Electric Power Technical Interest Group

  • ECE offers one of the country’s leading undergraduate and graduate academic programs in electric power engineering
  • Broad range of activities relative to peers in power:
    • power systems
    • power electronics and controls
    • power apparatus (machines, semiconductors, high voltage equipment)
    • photovoltaics
slide2

Faculty

  • Miroslav Begovic, Assoc. Professor
  • Power system analysis, protection and emergency control
  • Distributed energy resources: planning, interaction with distribution and transmission
  • Sustainable energy systems
  • Distribution network analysis
  • Thomas G. Habetler, Professor
  • Current-based condition monitoring of electric machines
  • Control of electric machine drives
  • Power electronics
  • Design and protection of electric machines
  • Ronald G. Harley, Duke Power Dist. Professor
  • Power system stability and control, including Flexible AC Systems (FACTS) devices
  • Power electronics, motor drives and electric vehicles
  • Neural networks applied to power electronics and electrical machines
  • Jerome M. Meisel, Part-time Professor
  • Future Truck Team Advisor
  • Electric Vehicles
  • Power Electronics
faculty
Faculty
  • A.P. Sakis Meliopoulos, Professor
  • Power System Reliability and Risk Assessment
  • Power Systems Operations Planning
  • Electromagnetic Influence of Power Systems
  • Power Quality
  • Protective Relaying and Disturbance Analysis
  • Simulation, Animation and Visualization of Power System
  • Hans B. Puttgen, Georgia Power Dist. Professor
  • Director of NEETRAC
  • Director of GT-Lorraine
  • ECE Associate Director of External Affairs
  • Power systems analysis and planning
  • Utility deregulation
  • Electric transportation vehicles and systems
  • Ajeet Rohatgi, Georgia Power Dist. Professor
  • Director, University Center of Excellence for Photovoltaics Research and Education
  • Modeling and fabrication of low-cost high-efficiency silicon solar cells
  • Growth and characterization of low-temperature and high-performance dielectrics
  • Defects and carrier lifetime in semiconductors
  • Growth and optoelectronic properties of compound semiconductors
affiliated faculty
Affiliated Faculty
  • Christina B. Honsberg, Associate Professor
    • Design, development and characterization of novel commercially oriented solar cell structures using the buried contact technology
    • Identification, modeling and analysis of novel techniques to overcome traditional homojunction or two-stack tandem efficiency limits
    • Gallium Arsenide Solar Cells
  • David G. Taylor, Professor
  • Nonlinear control systems
  • Electromechanical systems and devices
  • Modeling, simulation and control of assembly robots
  • Design and control of linear motion actuators and generators
  • John F. Dorsey, Professor
      • Modeling and control of large-scale systems
    • Real time identification of parameters of power system models
    • On-line power system security assessment
    • Elimination of sustained oscillations in power systems
    • Effect on stability of nonutility generation
areas of educational and research activities in electric power
Areas of Educational and Research Activities in Electric Power
  • Power system monitoring, analysis, protection, operation and control
  • Distributed generation
  • Power system simulation and visualization
  • High voltage engineering and power system components
  • Electric machine control, condition monitoring, and protection
  • Power Electronics
slide6

Research Centers

  • $3M ConsortiumUtilitiesManufacturersEnd UsersAcademia
  • EV Research200 HP Dynamometer125 kW DC Test SystemEV Virtual TestbedEV Charger Power Quality
  • Materials1,000 sq. ft. Solar Cell Fabrication Facility
  • Systems340 kW PV Array on GT Olympic Natatorium Roof
future truck
Future Truck
  • Student teams from 15 universities are challenged to re-engineer a conventional Ford Explorer into a lower-emissions vehicle
  • Sponsored by the US DOE and Ford Motor Co.
courses in power electronics and machines
Courses in Power Electronics and Machines

ELECTRIC MACHINES

  • ECE 3070 (3,0,3) – Introduction to Electromechanical Energy Conversion
    • Tier 2 course offered every semester
    • Prereq: ECE 2040, ECE 3025
  • ECE 4803/6336 (3,0,3) – Electric Machinery Analysis
    • Taught concurrently as both undergrad and grad course.
    • Prereq: ECE3070, Offered summer of even years
  • ECE 3881 (0,3,1) - Energy Conv & Mechatronics Lab
    • Laboratory portion of ECE3301
    • Offered every semester
    • Coreq: ECE3070
  • ECE 6336 (3,0,3) – Dynamics and Control of Electric Machine Drives
    • Offered every spring
    • Prereq: ECE3070
courses in power electronics and machines9
Courses in Power Electronics and Machines

POWER ELECTRONICS

  • ECE 4330 (2,2,3) – Power Electronics
    • Senior elective with lecture and lab
    • Offered every spring
    • Prereq: ECE 3040, ECE 3042
  • ECE 6331 (3,0,3) – Power Electronic Circuits
    • Offered every fall
    • Prereq: ECE 4330
research in electric machines and power electronics
Research in Electric Machines and Power Electronics
  • Rotating fault detection in induction machines.
  • Neural network-based diagnostics using self organizing maps.
  • Stator insulation fault detection using ANNs.
  • Rotating fault detection in synchronous and brushless dc machines.
  • Sensorless vibration detection in induction and synchronous machines.
  • 25 kV power electronic sag supporter using a PWM-switched autotransformer .
research in electric machines and power electronics continued
Research in Electric Machines and Power Electronics (continued)
  • Backpropagation neural networks for motor diagnostics (fault identification).
  • Sensorless speed measurement using slot harmonic detection and spectral estimation.
  • Rotor temperature estimation based on rotor resistance thermal time constant.
  • Continuous on-line training of neural networks for motor control and power electronic applications.
  • FPGA implementation of neural networks on motors.
  • Turbogenerator identification and control using neural networks.