Professor Tek-Tjing Lie

profile image

Deputy Head of School - Engineering, Computer and Mathematical Sciences

Phone: +64 9 921 9428

Email: tek.lie@aut.ac.nz

Physical Address:

Auckland University of Technology
WZ Building, Level 6
6 St Paul Street
Auckland Central
Auckland 1010

Postal Address:

Auckland University of Technology
School of Engineering, Computer and Mathematical Sciences
Private Bag 92006
Auckland 1142

ORCID: ORCID logo  https://orcid.org/0000-0002-1091-2121

Links to relevant web pages:

https://eri.aut.ac.nz/research/centre-for-energy-and-power-engineering/centre-for-energy-and-power-engineering-staff-and-students

Qualifications:

1996 PGDip in Teaching in Higher Education, Nanyang Technological University, Singapore
1992 PhD in Electrical Engineering, Michigan State University, USA
1988 MS in Electrical Engineering, Michigan State University, USA
1986 BS in Electrical Engineering, Oklahoma State University, USA

Memberships and Affiliations:

Senior Member of IEEE

Biography:

Professor Tek Tjing Lie is Deputy Head of School (Research) of the School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology (AUT). He received his BS degree from the Oklahoma State University, MS and PhD degrees from Michigan State University. He has previously held an academic position in the School of Electrical and Electronic Engineering at the Nanyang Technological University, Singapore. His research interests are in the fields of Power System Operation and Control, AI Applications to Power Systems, Deregulated Electrical Power Markets, Renewable Energy and Smart Grids.

Teaching Areas:

*    Voltage Disturbances and Harmonics (Power Quality)
*    Power System Analysis
*    Sustainable Energy Systems
*    Competitive Electric Supply Industry
*    Network/Circuit Analysis
*    Electric Power and Machines
*    Electricity for Modern Society

Research Areas:

  • Power system control, planning and operation
  • Deregulated power market
  • Energy management
  • Smart Grid, distributed generation and renewable energy
  • AI Applications to Power Systems

Research Summary:

My research focus amicably: developing positive impacts of clean energy technology to society.  The research studied wind, solar, and energy storage (battery) characteristics and how they are to be utilised.  I have done work on the development of an algorithm to determine the optimal capacity and cost of hybrid renewable resources in isolated power systems.  I have developed several solar irradiance-forecasting techniques as well as designing a tool for incorporating Smart Devices and Distributed Energy Resources into Smart Buildings.  My other research focuses on the applications of HTS, advanced control techniques and electric vehicles

Current Research Projects:

Developing Siting Criteria and Locating Offshore Wind Farm Site: A Delphi, AHP and GIS Approach.
Smart DC Microgrid/Nanogrid Based Residential Houses
Grid stability through PMU and PST in DLR based renewable energy automation distribution network
Power Quality and Short Circuit Capacity Framework for the improved optimization of Distributed Generation Systems: Mastering Grid Integration
Renewable Energies: Online Energy-Maximizing and Control of Renewable Energies, Wave-Energy Converters in particular
Smart Grids: Demand Side Management Based Future Grid Systems
Future Smart Grids for Plug-in Electric Vehicles
Integration of Electric Vehicles into Grid: Design of Residential Photovoltaic (PV) Generation
Production of bio-methane from Domestic Wastewater and CO2 emissions.

Publications:

*    R. Kulkarni R, K. Prasad, T. T. Lie, R. A. Badcock, C. W. Bumby and H. J. Sung, “Design Improvisation for Reduced Harmonic Distortion in a Flux Pump Integrated HTS Generator,” Energies, Vol. 10, 2017, pp 1334 – 1347.
*    J. C. Le Mon, C. A. Baguley, G. Foo, and T. T. Lie, “A Rotational and Straight-Line Drive System for Vehicles Levitated Through Superconductor Flux Pinning,” IEEE Transactions on Applied Superconductivity 27(4):01 Jun 2017.
*    A. Jayakumar, A. Chalmers, and T. T. Lie, “A Review of Prospects for Adoption of Fuel Cell Electric Vehicles in New Zealand,” IET Electrical Systems in Transportation 22 May 2017.
*    N. Ding, K. Prasad K and T. T. Lie, “The Electric Vehicle: A Review”, International Journal of Electric and Hybrid Vehicles 9(1):49-66, 05 Mar 2017.
*    N. Ding, K. Prasad and T. T. Lie, “The Design of Control Strategy for Blended Series-Parallel Power-Split PHEV – a Simulation Study,” International Journal of Transportation Systems 2:21-24 2017.
*    Miftah Al Karim, Jonathan Currie, and T. T. Lie, “A Machine Learning based Optimized Energy Dispatching Scheme for Restoring a Hybrid Microgrid,” Electric Power Systems Research, Vol. 155, 2018, pp. 206-215.
*    Lip-Wah Ho, T. T. Lie, Paul TM Leong, Tony Clear, “Developing offshore wind farm siting criteria by using an international Delphi method,” Energy Policy, Vol. 113, 2018, pp. 53 – 67.
*    X. Shen, X. Zhang, G. Li, T. T. Lie and L. Hong, “Experimental Study on the External Electrical Thermal and Dynamic Power Characteristics of Alkaline Water Electrolyzer,” International Journal of Energy Research, 2018; 1–14. https://doi.org/10.1002/er.4125
*    Miftah Al Karim, Jonathan Currie, and T. T. Lie, “Dynamic Event Detection Using a Distributed Feature Selection Based Machine Learning Approach in A Self-Healing Microgrid,” IEEE Trans. on Power Systems, Vol. 33, No. 5, September 2018, pp. 4706 – 4718.
*    X. Shen, C. Zhou, G. Li, X. Fu and T. T. Lie, “Overview of Wind Parameters Sensing Methods and Framework of a Novel MCSPV Recombination Sensing Method for Wind Turbines,” Energies, Vol. 11, 2018, 1747.
*    X. Shen, X. Zhang, T. T. Lie and G. Li, “Mathematical Modeling and Simulation for External Electrothermal Characteristics of an Alkaline Water Electrolyzer,” International Journal of Energy Research, 2018; 42: 3899–3914. https://doi.org/10.1002/er.4076
*     S. M. Arif, T. T. Lie and B. C. Seet, “A Novel Simulation Model for Analyzing the State of Charge of Electric Vehicle,” Proc. of IEEE ISGT ASIA 2018, Singapore, 22 – 25 May 2018.
*    A. Ur Rehman, T. T. Lie, B. Valles and S. R. Tito, “Low Complexity Event Detection Algorithm for Non-Intrusive Load Monitoring Systems,” Proc. of IEEE ISGT ASIA 2018, Singapore, 22 – 25 May 2018.
*    J. A. Qureshi, T. T. Lie, K. Gunawardane and N. Kularatna, “Extensive Measurements to Define Boundary Conditions for Efficient AC and DC Residential Houses,” Proc. of International Conference on Precision Electromagnetic Measurements, Paris, France, 8 – 13 July 2018.
*    E. Vdovina and T. T. Lie, “Optimal Sizing of PV, Battery Storage for Vava’u Island Distribution Network,” Proc. of IEEE PESGM 2018, Portland, USA, 5 – 10 August 2018.

Awards:

Inducted into Eta Kappa Nu, Tau Beta Phi, and Phi Kappa Phi honor societies.
Recipient of the Dean’s Award for Research Excellence 2013 and 2014.
Recipient of the 2014 IEEE PES Chapter Outstanding Engineer Award.