• Submission Deadline: May 30th, 2017
  • Notification Date:     June 20th, 2017
  • Registration Deadline: June 30th, 2017
  • Conference Dates :  July 23-26, 2017

Keynote Speakers

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Prof. A. R.Al-Ali

American University of Sharjah, UAE 

Biography: Professor A. R. Al-Ali (SM IEEE) received his Ph.D. in electrical engineering and a minor in computer science from Vanderbilt University, Nashville, TN, USA, 1990; Master degree from Polytechnic Institute of New York, USA, 1986 and B.Sc.EE from Aleppo University, Syria, 1979. From 1991-2000, he worked as an associate /assistant professor in KFUPM, Saudi Arabia. Since 2000 and till now, he has been a professor of computer science and engineering at the American University of Sharjah, UAE. His research and teaching interests include: embedded systems hardware and software architectures, smart homes automations, smart grid evolutions and development, remote monitoring and controlling industrial plants utilizing Internet, GSM, and GPRS networks.
Dr. Al-Ali has more than 100 conference and journal publications including two USA and European Patents. Professor Al-Ali has been invited to deliver keynote speeches on the recent evolution and development in the smart grid in several international conferences.  

Title of Speech: Smart Energy and Smart City Big Data Analytic 

Abstract: Smart Cities research and development nowadays is becoming one of the prime interests pf the academic, business, industry and government platforms. Smart cities provide its citizens with smart services such as smart heath, smart transportation, smart homes, smart buildings, smart factories, smart utilities and smart environment services. Talking about all these fancy services brings about the concept of big data. For example smart grid generates big data from sensors, consumers’ devices, meters, distribution transformers and substations, IEDs, SCADA, distributed energy and historical data. This data can be characterized and classified based on volume, velocity, variety, veracity and values (5Vs). The data will be integrated, cleansed, filtered, sorted, stored, analyzed, visualized and then monetized using data mining tools.
This talk will highlight the smart cites major pillars and services. A case study on big data sources and analytics in smart grid will be discussed.
In an effort to find out if the same big data techniques can be applied to monetize all the smart city big data, the speaker hopes to open the floor to get some constructive feedback from the audience.  



Prof. Ir. Dr. Ab Halim Bin Abu Bakar

University of Malaya, Malaysia 

Biography: Prof Dr Ab Halim Abu Bakar received his B.Sc. degree in Electrical Engineering from the University of Southampton, United Kingdom in 1976, M.Eng. and Ph.D. degrees from the University of Technology, Malaysia in 1996 and 2003 respectively. He spent 30 years of industrial experience with Tenaga Nasional Berhad (TNB) before joining University of Malaya. Prof Dr Halim is a Fellow of the Institute of Engineers Malaysia, Member of IEEE, Cigre, Chartered Engineer (UK) and P.Eng (Malaysia). Currently he is a professor with the UM Power Dedicated Advanced Centre (UMPEDAC), University of Malaya, Malaysia. He is an established academician and a practical engineer. He has to-date published 76 ISI and 127 Scopus papers in various journals and 47 papers in proceedings internationally. He has successfully supervised to completion 11 PhD, 3 master by research (M.Eng.Sc), 1 master of philosophy (M.Phil) and 34 Masters by course work project (M.Eng) students. He also has achieved Web of Science H-index of 13 and Scopus H-index of 19. In 2008 he won the IEEE PES Malaysian Chapter Outstanding Engineering Award. His research interests include power system protection and power system transient.  

Title of Speech: Islanding Protection of Network with Distributed Generator 

Abstract: In this presentation, Professor A.H.A. Bakar discusses the power system reliability in particular the protection of the network. The reliability of the protection network depends among others the reliability of the protection schemes. Failure of the protection scheme or the mal-operation of the protective relays will have catastrophic effect on the network. Widespread outage will occur, hence it will cause millions of dollars lost. To restore the supply, it will take some time depending on the complexity of the network. In order to avoid widespread outage most utilities adopt a defence scheme whereby during abnormal conditions the network will split into islands. For the island to survive there must be immediate load and generation balance, as an example during the Northeast blackout the New England Island survived.
With increasing concerned of the use of fossil fuels in conventional power plants, distributed generation (DG) such as solar PV, wind turbines, fuel cells, small scale hydro, tidal wave and micro turbines are gaining commercial and technical importance across the globe. They are preferred for their high energy efficiency (micro turbine, fuel cell), low environmental impact (PV, wind, hydro. A high degree of DG penetration as well as placement and capacity will have considerable impact on operation, control, and protection of the network. The area that is critically affected by large DG penetration is the protection coordination of the utility distribution system with bidirectional fault current flows. Further challenges are the impacts of steady state and dynamic behaviour of the DG on transmission system operator.
When the degree penetration was low, anti-islanding was imposed worldwide to prevent accidental islanding of DG. This feature is still being practised for personnel safety at the grid. Anti-islanding forces the DG to be disconnected immediately in the event of grid faults and loss of main. With the rapid growth of DG, DG penetration across the globe has significantly increased to a high level. This has resulted in reassessment of anti-islanding protection as it prevents utilization of DG for enhancement of power quality and reliability.
Various low cost and efficient digital islanding protection schemes are being developed, tested and validated through extensive research activities. Fast and efficient microprocessor-based islanding protection systems are suitable for operation of the active distribution networks both in stand-alone and grid connected mode. They can also ensure seamless operation of the inter-tie CBs for reconnection of the island zones without affecting original protection of the utility grid. The objective for islanding protection is to detect the power island condition to trip the inter-tie breaker between the power island and the utility. The power island will not affect the orderly restoration of the utility supply to the rest of the network. The tripping time for the island protection should be fast enough such that the two systems are successfully separated first before any out-of-synchronism reconnection attempt by automatic enclosure. Presently a maximum separation time of 0.5 seconds is recommended. The fault level of DG Power Island is much less than that of the grid and short circuit backup protection must be properly coordinated with this tripping time. The utility grid relays are too costly for DGs. For economic viability, there is a need for low cost completed DG protection. The use of a single unit microprocessor based relay with integrated protection functions is the best solution.  


Plenary Speaker 




Prof. Om P. Malik

University of Calgary, Canada 

Biography: Professor Om P. Malik has done pioneering work in the development of controllers for application in electric power systems and wind power generation over the past 45 years. After extensive testing, the adaptive controllers developed by his group are now employed on large generating units. His other interests include digital protection, control of renewable power generation and micro-grids, and AI applications in power system control.
He has published over 700 papers including over 360 papers in international Journals and is the coauthor of two books.
Professor Malik graduated in 1952 from Delhi Polytechnic. After working for nine years in electric utilities in India, he obtained a Master’s Degree from Roorkee University in 1962, a Ph.D. from London University and a DIC from the Imperial College, London in 1965.
He was teaching and doing research in Canada from 1966 to 1997 and continues to do research as Professor Emeritus at the University of Calgary. Over 100, including 45 Ph.D., students have graduated under his supervision.
Professor Malik is a Life Fellow of IEEE, and a Fellow of IET, the Engineering Institute of Canada, Canadian Academy of Engineering, Engineers Canada and World Innovation Foundation. He is a registered Professional Engineer in the Provinces of Alberta and Ontario, Canada, and has received many awards. He was Director, IEEE Region 7 and President, IEEE Canada during 2010-11 and President, Engineering Institute of Canada, 2014-2016.  


Abstract: Electricity has become all pervasive in the world today. This has been accomplished by continued developments in power systems over the past 133 years. Although power systems engineers have always kept apace by embracing new enabling technologies as they developed, recently there has been a trend to rename the same continuing new developments under the umbrella of ‘smart grid’ – a term that came into vogue about ten years back and lacks a standard definition or even a unified meaning. The term ‘smart grid’, as used colloquially, embraces the entire power system as commonly known and is just a renaming of the continuing effort in the evolution to improve the power system performance, in other words make it ‘smarter’. A brief introduction to the evolution and present status of the power systems is given. Integration of advanced communications and information technologies, control, and other enabling technologies is described as the way forward in the evolution of the future power systems into smarter grids. 


Prof. Rick S. Blum

Lehigh University, USA 

Biography: Rick S. Blum received a B.S.E.E from Penn State in 1984 and an M.S./Ph.D in EE from the University of Pennsylvania in 1987/1991. From 1984 to 1991 he was with GE Aerospace. Since 1991, he has been at Lehigh. His research interests include signal processing for smart grid, communications, sensor networking, radar and sensor processing. He was an AE for IEEE Trans. on Signal Processing and for IEEE Communications Letters. He has edited special issues for IEEE Trans. on Signal Processing, IEEE Journal of Selected Topics in Signal Processing and IEEE Journal on Selected Areas in Communications. He was a member of the SAM Technical Committee (TC) of the IEEE Signal Processing Society. He was a member of the Signal Processing for Communications TC of the IEEE Signal Processing Society and is a member of the Communications Theory TC of the IEEE Communication Society. He was on the awards Committee of the IEEE Communication Society. Dr. Blum is a Fellow of the IEEE, a former IEEE Signal Processing Society Distinguished Lecturer, an IEEE Third Millennium Medal winner, a member of Eta Kappa Nu and Sigma Xi, and holds several patents. He was awarded an ONR Young Investigator Award and an NSF Research Initiation Award.  

Title of Speech: Cybersecurity for Internet of Things (IoT), Smart Grid, Smart Cities and Smart-X  

Abstract: The importance of security for IoT is emphasized. Smart processing approaches are illustrated by considering a typical application, estimation of an unknown quantity from quantized sensor data in the presence of spoofing and man-in-the-middle attacks. First, asymptotically optimum processing, which identifies and categorizes the attacked sensors into different groups according to distinct types of attacks, is outlined in the face of man-in-the-middle attacks. Necessary and sufficient conditions are provided under which utilizing the attacked sensor data will lead to better estimation performance when compared to approaches where the attacked sensors are ignored. Next, necessary and sufficient conditions are provided under which spoofing attacks provide a guaranteed attack performance in terms of the Cramer-Rao Bound (CRB) regardless of the processing the estimation system employs, thus defining a highly desirable attack. Interestingly, these conditions imply that, for any such attack when the attacked sensors can be perfectly identified by the estimation system, either the Fisher Information Matrix (FIM) for jointly estimating the desired and attack parameters is singular or the attacked system is unable to improve the CRB for the desired vector parameter through this joint estimation even though the joint FIM is nonsingular. It is shown that it is always possible to construct such a highly desirable attack by properly employing an attack vector parameter having a sufficiently large dimension relative to the number of quantization levels employed, which was not observed previously. For unattacked quantized estimation systems, a general limitation on the dimension of a vector parameter which can be accurately estimated is uncovered. Alternative security approaches are also outlined.  



Assoc. Prof. Anurag K. Srivastava

Washington State University, USA 

Biography: Anurag K. Srivastava is an associate professor of electric power engineering at Washington State University and the director of the Smart Grid Demonstration and Research Investigation Lab (SGDRIL) within the Energy System Innovation Center (ESIC). He received his Ph.D. degree in electrical engineering from the Illinois Institute of Technology in 2005. In past years, he has worked as a visiting scientist at Idaho National Laboratory and Pacific Northwest National Lab, consultant to PJM Interconnection, visiting scientist at GE Grid Solutions, visiting professor at Massachusetts Institute of Technology, assistant research professor at Mississippi State University, as a senior research associate at the Indian Institute of Technology, Kanpur, India, and as a research fellow at the Asian Institute of Technology, Bangkok, Thailand. His research interest includes power system operation and control using smart grid data. Dr. Srivastava is a senior member of the IEEE, secretary of IEEE PES PEEC committee, co-chair of the microgrid working group, secretary of PES voltage stability working group, past-chair of the IEEE PES career promotion subcommittee, past-chair of the IEEE Power & Energy Society’s (PES) student activities committee, and past vice-chair of the IEEE synchrophasor conformity assessment program. Dr. Srivastava is an associate editor of the IEEE Transactions on Smart Grid, editor of IET Generation, Transmission and Distribution, an IEEE distinguished lecturer, and the author of more than 200 technical publications including a book on power system security and 4 pending/ awarded patents.  

Title of Speech: What’s Next in Smart Grid 

Abstract: With the ongoing investments in smarter electric grid, several new algorithms and devices have been developed. Synchrophasor applications in transmission systems, distribution automation and adoption of microgrid are some of the most critical smart grid technologies. Synchrophasors devices provide synchronized measurements at faster rates for enhanced wide area situational awareness enabling number of new applications. Distribution automation helps in optimized integrated volt/ var control as well as conservation voltage reduction (CVR). Smart meter data also helps in load modeling and CVR. Microgrid helps in increased penetration of renewable distributed energy sources and high reliability. This talk will discuss about several smart grid technologies and couple of smart grid research, demonstration and implementation projects related to these critical smart grid technologies. What’s next to smart grid will be discussed including future of the grid evolving to meet societal needs.