Electric Power 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
Electric Power Group
                             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
Electric Power Group
                           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
Electric Power Group

              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
Electric Power Group
        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
Electric Power Group

    Research Centers


• $3M Consortium             • Materials
  Utilities                    1,000 sq. ft. Solar Cell
  Manufacturers                Fabrication Facility
  End Users
  Academia                   • Systems
• EV Research                  340 kW PV Array on GT
  200 HP Dynamometer           Olympic Natatorium Roof
  125 kW DC Test System
  EV Virtual Testbed
  EV Charger Power Quality
Electric Power Group

                       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.
Electric Power Group
      Courses in Power Electronics and M achines
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
Electric Power Group
    Courses in Power Electronics and M achines



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
Electric Power Group
     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 .
Electric Power Group
          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.

Power Concentration

  • 1.
    Electric Power 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
  • 2.
    Electric Power Group 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
  • 3.
    Electric Power Group 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
  • 4.
    Electric Power Group 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
  • 5.
    Electric Power Group 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
  • 6.
    Electric Power Group Research Centers • $3M Consortium • Materials Utilities 1,000 sq. ft. Solar Cell Manufacturers Fabrication Facility End Users Academia • Systems • EV Research 340 kW PV Array on GT 200 HP Dynamometer Olympic Natatorium Roof 125 kW DC Test System EV Virtual Testbed EV Charger Power Quality
  • 7.
    Electric Power Group 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.
  • 8.
    Electric Power Group Courses in Power Electronics and M achines 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
  • 9.
    Electric Power Group Courses in Power Electronics and M achines 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
  • 10.
    Electric Power Group 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 .
  • 11.
    Electric Power Group 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.