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..
Biography: Dennis Lieu is a Professor of Mechanical Engineering and former Associate Dean of the College of Engineering at UC Berkeley. He received his BS, MS and D.Eng. in Mechanical Engineering from UC Berkeley in 1977, 1978 and 1982, respectively. After working for six years as a design engineer in industry, he returned to his alma mater and has been a member of its faculty for 30 years. He is the author or co-author of numerous articles on permanent magnet motor design and engineering graphics education, and is the lead author of Visualization, Modeling, and Graphics for Engineering Design (Cengage Publishers). His research interests are in the design of electro-mechanical devices and the design of sports equipment. He is a recipient of the UC Berkeley Distinguished Teaching Award. In 2008, he was awarded the Orthogonal Medal for his contributions to engineering graphics education. In 2015, he received the Distinguished Service Award from the Engineering Design Graphics Division of the ASEE. Prof. Lieu is currently engaged in the development of design courseware associated with the new Jacobs Design Institute at UC Berkeley.
Biography: 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, smart factories and cities. 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 internet of things, cyber physical systems, smart grid and smart cities in several local and international conferences (Https://Www.Aus.Edu/Faculty/Dr-Abdulrahman-Al-Ali)
Title of Speech: Digital Twins Role in Smart Grid and Smart City Applications
Abstract: Nowadays, the smart city concept is rolling from conceptual model to real-time deployment in many applications such as smart energy, smart health, smart transportation, smart buildings, smart manufacturing and smart factories. All these applications consist of physical objects, products, systems, processes and services that are interconnected and exchange data via the internet. Digital twin’s concept has emerged as a smart city virtual enabling technology that complements its physical object or product.
A smart object, product, system and process consists of both the physical part and its complementing counterpart digital parts, also referred to as virtual and cyber parts, and more recently referred to as its digital twin. The physical part of an object and its digital twin complement each other and can be modeled by several layers namely; sensing, edge computing, actuating, communicating, storing, processing, analyzing, visualizing, in addition to application layers. Digital twin collects its physical object real-time parameters status along with the surrounding environment parameters. Those collected data are transmitted to the cloud or enterprise computing centers for data processing and decisions in the environment. The decisions in the environment are made based on the aggregated parameters from the physical object, its bill of material, 2D and 3D models, the object historical data that were already stored in cloud storage utilities. Processing, analyzing, and data mining algorithms are implemented for the purposes of early warning, schedules and predictions, dynamic optimization, visualization and action on the physical object.
This talk will present the digital twin conceptual model, its benefits and applications in consumers and industrial services.
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 in different capacity at the PEAK RC, Réseau de transport d´électricité in France; RWTH Aachen University in Germany; Idaho National Laboratory, Pacific Northwest National Lab, PJM Interconnection, Schweitzer Engineering Lab (SEL), GE Grid Solutions, Massachusetts Institute of Technology and Mississippi State University in USA; Indian Institute of Technology Kanpur in India; as well as at Asian Institute of Technology in Thailand. His research interest includes data-driven algorithms for power system operation and control including resiliency analysis. Dr. Srivastava research efforts resulted in more than $50M high impact projects resulted in tools installed at the utility control center supported by US Department of Energy, National Science Foundation, Siemens Corporate Research, Electric Power Research Institute, Schweitzer Engineering Lab, Power System Engineering Research Center, Office of Naval Research and several National Labs. He is a senior member of the IEEE, vice-chair of the IEEE Power & Energy Society’s (PES) PEEC committee, co-chair of the microgrid working group, secretary of power system operation SC, vice-chair of PES voltage stability working group, chair of PES synchrophasors applications working group, past-chair of the IEEE PES career promotion subcommittee, past-chair of the IEEE PES student activities committee, and past vice-chair of the IEEE synchrophasor conformity assessment program. He organized NSF sponsored Data analytics workshop for the power grid resiliency in 2018, Siemens sponsored data analytics in the smart grid workshop in 2017, North American Power Symposium in 2014, and IEEE sponsored workshop on Testing and validation of synchrophasor devices and applications in 2012. Dr. Srivastava is an editor of the IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, IEEE Transactions on Industry Applications, IET Generation, Transmission and Distribution, Journal of Modern Power Systems and Clean energy and Elsevier Sustainable Computing. He is an IEEE distinguished lecturer and has delivered 30+ keynotes/ tutorial in more than 15 countries. He is author of more than 300 technical publications including a book on power system security and 3 patents.