Keynote Speakers for ICREC 2018

IEEE Fellow, Prof. Joe Dong, The University of New South Wales, Australia

Speech title: Energy Efficiency and Trading with Data Analytics and IoT Technologies

Abstract: With the emission reductions initiative across the globe many countries are moving towards a renewable dominated energy industry. In Australia, the forthcoming decommissioning of coal fired power stations has already created challenges on system security and raising electricity prices. At the same time opportunities also arise for renewable energy and energy storage. Energy efficiency is a key factor driving the energy sector, especially for customers. In addition to the common practices such as utilisation of LED lights, intelligent systems have shown great potential in achieving further efficiency in energy utilisation. This presentation give an overview of energy efficiency practices and data based approach in managing energy consumption. Internet of Things (IoT) based technologies are also explored for monitoring and of energy systems. A peer to peer trading platform will also be presented to facilitate the prosumer participation in the energy trading.


Biography: Professor Z.Y. Dong obtained Ph.D. from the University of Sydney in 1999. He is a Professor at the University of NSW, Sydney, Australia. He is previously Professor and Head of School of Electrical and Information Engineering at the University of Sydney, and Ausgrid Chair and Director of Centre for Intelligent Electricity Networks, the University of Newcastle. He also worked with Transend Networks (TASNetworks). His research interest includes microgrid/smart grid, power system planning and stability, renewable energy grid connection, and electricity market. He is Fellow of the IEEE and an editor of a number of IEEE transactions.



Prof. Tyrone Fernando, University of Western Australia, Australia

Speech title: Demand-Side Regula/on Provision from Industrial Loads for Ancillary Services

Abstract: Nowadays, enabled by current smart grid technology, electricity consumers can play an active role in providing Ancillary Service (AS) as a type of Demand Response (DR). Participating AS can assist stabilising the power grid by following the Frequency Regulation Signal, or RegD signal whilst receiving economic benefits. Industrial loads are an indispensable component as a demand-side regulating resource of ancillary service due to their intensive electricity consumption. Grid-connected solar Photovoltaics (PV) panels combined with Energy Storage System (ESS) can produce continuous electricity consumption signals in order to follow the RegD signal. The participation of solar energy in real-time regulation provision process will be emphasised, which is modelled based on a variety of operation modes in accordance to Australian Standard. Through a particular case study, with the integration of solar energy the proposed method poses cost-effectiveness in industrial plant scheduling and a favourable load following capability, helping ensure the frequency stability of the electric grid.


Biography: Tyrone Fernando, senior member of IEEE, obtained his bachelor of engineering with honors and the degree of doctor of philosophy from the University of Melbourne in 1990 and 1996 respectively. In 1996 he joined the School of Electrical Electronic and Computer Engineering (EECE), University of Western Australia, where he is currently a Professor. He was the Associate Head of EECE in 2008 and Deputy Head of EECE in 2009 and 2010. His research interests are in power systems, renewable energy and state estimation. He has served as an Associate Editor for the IEEE Transactions on Information Technology in Biomedicine and also as Guest Editor for the journal of Optimal Control Applications and Methods. He is currently an associate editor for IEEE Transactions on Circuits and Systems–II and also IEEE Access.


IEEE Fellow, Prof. Udaya K. Madawala, The University of Auckland, New Zealand

Speech title: Bi-directional Wireless Grid Interfaces for Electric Vehicles

Abstract: Electric vehicles (EVs) are becoming increasingly popular as the means of future transport that improves air-quality. They are also ideal for sustainable living and allows for dynamic demand control through the vehicle to grid (V2G) concept. EVs can be charged either from the grid or standalone renewable sources using both wired and wireless technologies. The wireless solution, based primarily on inductive power transfer (IPT) technology, is more attractive and suitable for both stationary and dynamic charging of EVs. Dynamic charging systems are relatively complex, and essentially require EVs to establish magnetic coupling for a short duration with discrete charging pads, buried under road surfaces, to facilitate charging through a high power pulse. The challenge is therefore to develop technologies to both generate and absorb high power pulses in precise synchronism with the vehicle’s movement as well as to achieve maximum alignment between charging pads. This seminar focuses on the grid integration of EVs for V2G applications, and presents the latest advances in bi-directional wireless power transfer (BD-WPT) technology in relation to padmisalignment and dynamic charging.


Biography: Udaya K. Madawala graduated with a B.Sc. (Electrical Engineering) (Hons) degree from The University of Moratuwa, Sri Lanka in 1987, and received his PhD (Power Electronics) from The University of Auckland, New Zealand in 1993 as a Commonwealth Doctoral Scholar.  At the completion of his PhD, he was employed by Fisher & Paykel Ltd, New Zealand, as a Research and Development Engineer to develop new technologies for motor drives.  In 1997, he joined the Department of Electrical and Computer Engineering at The University of Auckland as a Research Fellow.  At present, as a Full Professor, he focuses on a number of power electronics projects related to wireless grid integration of EVs for V2G applications and renewable energy. 


Udaya is a Fellow of the IEEE and a Distinguished Lecturer of IEEE Power Electronics Society, and has over 30 years of both industry and research experience in the fields of power electronics and energy. He has served both the IEEE Power Electronics and Industrial Electronics Societies in numerous roles, relating to conferences, technical committees and chapter activities. Currently, Udaya is an Associate Editor for IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics, and a member of the Sustainable Energy Systems Technical Committee and the Oceania Liaison Chair of Membership Development Committee of the IEEE Power Electronics Society.  He was the General Chair of the 2nd IEEE Southern Power Electronics Conference (SPEC), held in New Zealand in 2016, and is also a member of the SPEC Steering Committee. Udaya has over 250 IEEE journal and international conference publications, and holds a number of patents related to wireless power transfer and power converters. He is a keynote, plenary and tutorial speaker, and offers his service to industry as a consultant.




Prof. Dylan Lu, University of Technology Sydney, Australia

Speech title: Effective and Efficient Cell Balancing Techniques for Battery Storage System

Abstract: Battery storage is a key component for a more electrified planet we are living in – It serves as the main power source in electric vehicles, provides back-up power when the main grid is off-line, smooths the power grid due to intermittency of renewable energy sources, just to mention a few. Due to the limited voltage and current ratings and capacity of each battery, it is common for a battery power system to have a number of batteries connected in an array configuration. However, the state of charge and stage of health of each battery can be significantly different to one another. This poses a great challenge to monitor and balance the charges for each battery without significantly increasing the number, hence cost, of sensors and associated circuitry. In this presentation, we will review some battery balancing strategies. A strategy that combines battery balancing and voltage regulation of a power-electronic-based solution is discussed in detail.


Dylan Dah-Chuan Lu received his B.E. and Ph.D. degrees from The Hong Kong Polytechnic University, Hong Kong, in 1999 and 2004 respectively.


In 2003, he joined PowereLab Ltd. as a Senior Design Engineer and worked on industrial switching power supply projects. He was a faculty member with The University of Sydney from 2006 to 2016. At present he is an Associate Professor at the School of Electrical and Data Engineering, University of Technology Sydney, Australia. His current research interests include power electronics for renewable sources, energy storage systems and microgrids. He is a senior member of IEEE and a member of Engineers Australia.


He was the recipient of the Best Paper Award in the category of Emerging Power Electronic Technique at the IEEE PEDS 2015. He presently serves as an Associate Editor of the IEEE Transactions on Circuits and Systems II and a Subject Editor of the IET Renewable Power Generation.


Plenary Speaker for ICREC 2018

Prof. S. M. Muyeen, Curtin University, Australia

Speech Title: Wide Area Control and its Impact on Smart Grid

Abstract: Electric power systems around the World are currently undergoing fast and transformational changes. Distributed Generation, Nano-grids, Micro-grids with and without storage are now emerging as common features of today’s complex power system. The interconnection of small scale modular generating units like PV, wind turbine, photovoltaic system, micro-turbine, fuel cells, and energy storage systems like battery, flywheel, supercapacitor, superconducting magnetic energy storage to the low voltage distribution grid in ac, dc or hybrid form leads to a new energy system paradigm, known as Micro-grid. With the blessing of modern computer and communication technologies, Micro-grid is further going through another transformation, known as Smart grid. This talk presents wide area monitoring system (WAMS) including various sensors in transmission and distribution levels, wide area control (WAC) application in augmenting system stability, and its time delay impacts on Smart Grid.


Bio: Dr. S. M. Muyeen received his B.Sc. Eng. Degree from Rajshahi University of Engineering and Technology (RUET), Bangladesh formerly known as Rajshahi Institute of Technology, in 2000 and M. Eng. and Ph.D. Degrees from Kitami Institute of Technology, Japan, in 2005 and 2008, respectively, all in Electrical and Electronic Engineering. At the present, he is working as an Associate Professor in the Electrical and Computer Engineering Department at Curtin University, Perth, Australia. His research interests are power system stability and control, electrical machine, FACTS, energy storage system (ESS), Renewable Energy, HVDC system, and Smart Grid. Dr. Muyeen has developed two research laboratories at the Petroleum Institute and the Petroleum Institute Research Center (PIRC), Abu Dhabi, UAE. He has been a Keynote Speaker and an Invited Speaker at many international conferences, workshops, and universities. He has published over 150 articles in different journals and international conferences. He has also published six books as an author or editor. He is serving as Editor or Associate Editor for 5 International Journals including IEEE Transactions on Sustainable Energy, IEEE Power Engineering Letters, IET Renewable Power Generation. Dr. Muyeen is the Senior Member of IEEE and Fellow of Engineers Australia (FIEAust).


Prof. Zhen Li, Beijing Institute of Technology, China

Speech title: Research on Event-based Nonlinear Estimation and Its Application in Smart Grid

Abstract: With the deep penetration of renewable energy, such as wind and solar, urging to cut the emission from fossil fuel consumption, it becomes more challenging to ensure the reliability and sustainability of the smart grid infrastructure. To solve these problems, the PMU based dynamic state estimation(DSE) in the wide-area measurement system(WAMS) plays a key role. But due to the high sampling rate and the wide placement of PMUs, the transmission between PMUs and the control center is no longer sustainable regardless of the transmission scheme used and further boosts the bandwidth requirements. Focusing on this problem, we proposed event-based cubature Kalman filter to balance the communication rate and filtering accuracy. Then to deal with the non-Gaussian noise, we proposed event-based PF. Furthermore, to reduce the computational burden of the PMU node, we proposed event-based heterogeneous nonlinear filter. Moreover, considering real-time and simplicity, we proposed event-based robust cubature Kalman fiter.


BioZhen Li (S’09-M’13-SM’17), Associate Professor, Beijing Institute of Technology, China. Zhen Li is Associate Professor in School of Automation, Beijing Institute of Technology, Beijing, China. He received the B. Eng. and M. Eng. degrees in measurement science and control technology from Harbin Institute of Technology, Harbin, China, in 2006 and 2008, respectively. In 2012, he received Ph. D. degree from the Hong Kong Polytechnic University, Hong Kong SAR, China. He was a Research Assistant/Associate in Applied Nonlinear Circuits and System Research Group, in the Department of Electronic and Information Engineering at the Hong Kong Polytechnic University, from October 2011 to September 2012 and December 2013 to January 2014. He currently serves as technical committee member of the IFAC Technical Committee on Power and Energy Systems (TC6.3), Electrical Automation Professional Committee for Chinese Association of Automation, China Information Association for Traditional Chinese Medicine and Pharmacy Council, IEEE PES Innovative Smart Grid Technologies Asia Conference (ISGT Asia 2016), and International Conference on Sustainable Energy Engineering (ICSEE2017/2018). He also serves as International Program Committee of 2019 IFAC Workshop on Control of Smart Grid and Renewable Energy Systems (CSGRES 2019). His main research interests include the stability analysis of power electronics interfaced DERs, advanced control of power converters and its application for DERs, and dynamic state estimation for complex power system, and information fusion for unmanned system.