Prof Joe Dong

Professor in Energy Systems 

 

Telephone:    +61 2 9385 4477

Fascimile:     +61 2 9385 5993

Email:             joe.dong@unsw.edu.au

Room:             538, Hilmer (E10)

 

Biographical details

Professor Z.Y. (Joe) Dong is a Professor in the School of Electrical Engineering and Telecommunications, UNSW. He was the Head of School of Electrical and Information Engineering in the University of Sydney, and a contractor with Ausgrid and EPRI, USA. He is now a member of the ARC College of Experts. Prior to joining the University of New South Wales in 2017, he was Ausgrid Chair and Director of Ausgrid Centre of Excellence for Intelligent Electricity Networks (CIEN) at the University of Newcastle, Australia. He has also worked for Hong Kong Polytechnic University and as system planning manager with TASnetworks, Australia. Professor Dong's research interest includes power system planning and stability, smart grid/micro-grid, load modeling, renewable energy grid connection, electricity market, data mining, big data analytics, artificial intelligence and computational methods. He has served editor for a number of international top journals such IEEE Transactions on Smart Grid, IEEE PES Letters, IEEE Transactions on Sustainable Energy, IET Renewable Power Generation, and Journal of Modern Power Systems and Clean Energy. He is an international Advisor for the lead Chinese journal of Automation of Electric Power Systems and a guest editor for Southern Power System Technology under China Southern Power Grid. He also serves as guest editor for International Journal of Systems Science. 

Professor Dong has been the principle investigator for over 10 EPRI projects, 14 ARC grants, 4 grants under HK RGC & ITF scheme, and partner investigator of 2 theme based projects in Hong Kong. He has many industrial R&D and consulting projects in power system planning, stability, smart grid, electricity market analysis, load modelling and data mining based methods for energy system data analytics. As a consultant, he leads the development of the load models for Western Power Corporation's daily usage in operations and planning of Western Australia's transmission network. He lead the gas and electricity network co-planning for the $12.6m CSIRO Future Grid project. He also worked with government on smart grid cyber security. He is a member of IEEE taskforce on power system cascading failure, a chapter coordinator for CIGRE work group on load modelling, a core member of the IEEE PES Smart Building, Loads and Customer System Committee coordinating IEEE standards in Load Model and Simulation. He is the Deputy Chair for Smart Grid Australia (SGA) study group and leads its research domain on cyber physical systems, including representing SGA at the International Federation of Smart Grid. He established a team of 28 at Ausgrid Centre for Intelligent Electricity Networks to provide R&D support for the $100m (plus $500m from Ausgrid) Smart Grid, Smart City national demonstration project.

Professor Dong obtained a Ph.D. from the University of Sydney in 1999. He has published over 300 journal papers (mostly IEEE transactions and IET journals), and received over $16 million in research and industrial grants. Professor Dong has supervised or co-supervised over 50 PhD students, many who now work in industry and research/academia in Australia, Europe, Asia and America.

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Membership of Professional Societies

  • Fellow of the IEEE ("for contributions to development of computational methods for power system stability and planning") 

 

Research interests

Electricity is critical to our everyday life. Without it, modern society would not be possible. Professor Dong's research aims to enhance the reliability and economic efficiency of our electricity supply networks, allowing them to reliably supply quality electricity in a more cost-effective manner with advanced engineering and computational methods.

"The operation of our society depends on a stable, quality electricity supply. The challenge today is that the industry is shifting towards more non-network solutions such as distributed renewable generation, energy storage and smart grid technologies. This gives rise to both challenges and opportunities for the industry and for my research.

"My research investigates ways of increasing power system stability, as well as alternative ways of enhancing the capabilities of power networks. The aim is to enable networks to supply more electricity - in a stable and reliable manner - without requiring as much investment as conventional approaches do.

"Ultimately this will enable us to meet customer demand, while slowing the price increase in household power bills. It will also allow us to maximise the benefits of renewable energy generation with minimal impact on network service providers' operations.

"I work closely with industry on most areas of my research. This ensures that I have a thorough understanding of industry needs and trends, and that the value of my research can be clearly visualised and supported by industry.

"Electricity is a public utility by nature, and I gain a sense of achievement through working closely with the electricity industry on research and development, as well as through educating young engineering students in power engineering."

 

Selected Publications

  • Yuchen Zhang, Yan Xu, Z.Y. Dong, “Robust Ensemble Data-Analytics for Incomplete PMU Measurements-based Power System Stability Assessment”, IEEE Transactions on Power Systems 01/2017
  • FJ Luo, ZY Dong, K Meng, Junhao Wen, H. Wang and JH Zhao, “An operational planning framework for large-scale thermostatically controlled load dispatch”, IEEE Trans on industrial Electronics, Vol. 13, No. 1, Feb 2017, pp. 217-227
  • WC Kong, ZY Dong, DJ Hill, FJ Luo and Y Xu, "Improving Non-intrusive Load Monitoring Efficiency via a Hybrid Programming Method", IEEE Transaction on Industrial Informatics, Vol. 12, No. 6, pp. 2148-2157 July 2016
  • J. Qiu, ZY Dong, JH Zhao, Y Xu, Y Zheng, C Li and KP Wong, “Multi-stage Flexible Expansion Co-planning under Uncertainties in a Combined Electricity and Gas Market”, IEEE Trans on Power Systems, DOI 10.1109/TPWRS.2014.2358269, Vol. 30, No. 4, July 2015, pp. 2119 - 2129
  • Y. Xu, ZY Dong, R Zhang, YS Xue and DJ Hill, “A decomposition-based practical approach to transient stability – constrained unit commitment”, IEEE Trans on Power Systems, Vol. 30, No. 3, May 2015, pp 1455 – 1464 DOI: 10.1109/TPWRS.2014.2350476
  • Y Xu, ZY Dong, R Zhang, KP Wong, M Lai, “Solving preventive-corrective SCOPF by a hybrid computational strategy”, IEEE Trans on Power Systems, Vol. 29, No. 3, May 2014, pp 1345 - 1354, DOI 10.1109/TPWRS.2013.2293150
  • C. Wan, Z. Xu, P. Pinson, ZY Dong and KP Wong, "Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine', Invited Paper, IEEE Trans on Power Systems, Vol 29, No. 3, May 2014 (Thomson Reuters Web of Science Highly Cited Paper)
  • C. Wan, Z. Xu, P. Pinson, Z.Y. Dong, K.P. Wong, "Optimal prediction intervals of wind power generation", 2014, IEEE Transactions on Power Systems, 29 (3), pp.1166-1174. (Thomson Reuters Web of Science Highly Cited Paper)
  • L.H. Yang, Z. Xu, Jacob Østergaard, ZY Dong and KP Wong, “Advanced Control Strategy of DFIG Wind Turbines for Power System Fault Ride Through”, IEEE Trans on Power Systems, Vo. 27, No. 2, May 2012 (Thomson Reuters Web of Science Highly Cited Paper)
  • ZY Dong, JH Zhao and D J Hill, "Numerical Simulation for Stochastic Transient Stability Assessment", IEEE Trans on Power Systems, Vol. 27, Issue 4, Nov 2012, pp. 1741-1749
  • Y Xu, ZY Dong, K Meng, et al , "A Hybrid Method for Transient Stability Constrained Optimal Power Flow Computation", IEEE Trans on Power Systems, Vol 27, Issue4, Nov 2012, pp. 1769-1777
  • J Huang, Y Xue, ZY Dong and K P Wong, "An Efficient Probabilistic Assessment Method for Electricity Market Risk Management", IEEE Trans on Power Systems, Vol. 27, Issue 3, Aug 2012, pp. 1485-1493
  • Y Xu, ZY Dong, JH Zhao, et al , "A Reliable Intelligent System for Real-Time Dynamic Security Assessment of Power Systems", IEEE Trans on Power Systems, Vol. 27, Issue 3, Aug 2012, pp. 1253-1263
  • Y Xu, ZY Dong, L Guang, et al, "Preventive Dynamic Security Control of Power Systems Based On Pattern Discovery Technique", IEEE Trans on Power Systems, Vol. 27, Issue 3, Aug 2012, pp. 1236-1244
  • F Yao, ZY Dong, K Meng, et al, "Quantum-Inspired Particle Swarm Optimization for Power System Operations Considering Wind Power Uncertainty and Carbon Tax in Australia", IEEE Trans on Industrial Informatics, Vol. 8, Issue 4, Nov 2012, pp. 880-888
  • ZY Dong, Yan Xu, Pei Zhang, Kit Po Wong, "Real-Time Stability Assessment of Electric Power System with Intelligent Systems," IEEE Intelligent Systems, 09 May 2011. IEEE computer Society Digital Library. IEEE Computer Society, http://doi.ieeecomputersociety.org/10.1109/MIS.2011.41
  • S Taggart, G James, ZY Dong and C. Russell, "The Future of Renewables Lined by a Transnational Asian Grid", Proceedings of the IEEE, Vol. 100, No. 2, Feb 2012, pp. 348 - 359
  • ZY Dong, X Li and S Wang, as Guest Editors, Special Issue of Data Mining and Applications, International Journal of Systems Science, UK, Taylor & Francis. 12(3), July 2006
  • ZY Dong and P Zhang, Emerging Techniques for Power System Analysis, Springer, 2009, ISBN 978-642-04281-2