A/Prof Toan Phung

Associate Professor in Energy Systems

Director of Academic Studies

 

Telephone:     +61 2 9385 5407

 

Email:              toan.phung@unsw.edu.au

Room:             123  Electrical Engineering Building

 

Research Gateway

Qualifications

  • B.E. (Electrical Engineering), University of Wollongong, 1978.
  • M.Eng.Sc. (Electrical Engineering), University of NSW, 1982.
  • Ph.D. (Electrical Engineering), University of NSW, 1998

Membership of Professional Societies

  • The Institute of Electrical and Electronic Engineers, Senior Member
  • IEEE Dielectrics and Electrical Insulation Society
  • CIGRÉ- Australian Panel D1, Member
  • Australian ATP-EMTP (Alternative Transient Program) Users Group, Convener

Employment

  • Amalgamated Wireless Australasia (AWA), Engineer, 1978-1980
  • The University of New South Wales, Professional Officer, 1980-2001
  • The University of New South Wales, Senior Lecturer, 2002 - Present

Teaching Areas

  • High-Voltage Engineering
  • Power System Equipment
  • Power System Analysis
  • Electrical Energy Systems

Conitnuing Education Activities

  • ESAA Short Courses in Electrical Insulation & Insulation Condition Monitoring
  • Short Course on Power Systems Transients

Research Interests

  • High voltage (AC/DC) generation, testing, and measurement techniques
  • Electrical Insulation - characteristics of gaseous, liquid and solid dielectrics; development of new insulating materials (nanocomposites for insulation and energy storage, alternative insulating liquids); study of insulation ageing mechanisms; diagnostic methods
  • Partial Discharge Measurement - advanced computer-based data acquisition, conventional and ultra-high frequency discharge detection, acoustic methods, noise and interference reduction using signal processing
  • Partial Discharge Analysis - application of novel digital analysis methods for discharge characterisation and pattern recognitions for fault diagnosis
  • Power System Equipment - on-line condition monitoring of substations and strategic components of the electricity grid (HV cables, overhead lines, power transformers, generators and switchgear)
  • Power System Modelling and Analysis - computational techniques, in particular analysis of power system transients
  • Intelligent systems – data mining techniques, neural networks, fuzzy systems for pattern recognition, smart sensors for smart grids applications