IEEE International Conference on Sustainable Energy Technologies (ICSET) is a regular series of international biennial conferences being planned to bring together professionals and executives in the energy sector, electrical power companies, manufacturing industries, research institutes and educational bodies to share and exchange ideas and information pertaining to sustainable energy technologies. Papers presented in conference will be submitted for inclusion into IEEE Xplore digital library, EI Compendex, Scopus, and ISI web of Science. The Technical Program Committee would be selecting the top 10% of the papers to be forwarded to the IEEE Transactions on Industry Applications.
The 4th International Conference on Sustainable Energy Technologies (ICSET 2016) will be held in Hanoi, the capital of Vietnam during 14 - 16, November, 2016.
Prof. Konstantin Turitsyn, MIT, USA
Speech: Next generation mathematical tools for smart and resilient grids
Abstract: Power system is the largest, and arguably the most complex machine ever built by humans. Due to inherent nature of power flows it lacks global stability and is naturally “fragile”. Large enough disturbances may cause the loss of stability and trigger the cascading failures resulting in major blackouts. Aggressive introduction of renewable generation increases the overall stress of the system, so the stability constraints will likely become the main barrier for transition to clean energy sources. Despite many decades of research, stability assessment is still the computational bottleneck in power grid operation process. Modern tools from optimization and control provide a unique opportunity for addressing these problems with new generation of fast and reliable algorithms. For example, Lyapunov Function Family approach provides an opportunity to verify the post-contingency stability and construction of the so-called special protection systems and identification of the possible remedial actions executed during the emergencies. Besides applications in large-scale systems, modern mathematical tools can also enable the design of affordable but robust microgrids for developing countries. An emerging technology of low voltage ad hoc DC microgrids that is a viable solution for providing electricity to 1 billion people in the world currently lacking access to power. By design, these microgrids have to be modular and maintain stability for arbitrary network topology. Furthermore, power dispatch has to be coordinated in a decentralized manner. Low cost deployment of these microgrids requires simple enough design criteria for stability for ad-hoc interconnections and decentralized control strategy that ensures economic optimality.
Biography: Dr. Konstantin Turitsyn received the M.Sc. degree in physics from Moscow Institute of Physics and Technology and the Ph.D. degree in physics from Landau Institute for Theoretical Physics, Moscow, in 2007. Currently, he is an Assistant Professor at the Mechanical Engineering Department of Massachusetts Institute of Technology (MIT), Cambridge. Before joining MIT, he held the position of Oppenheimer fellow at Los Alamos National Laboratory, and Kadanoff-Rice Postdoctoral Scholar at University of Chicago. His research interests encompass a broad range of problems involving nonlinear and stochastic dynamics of complex systems. Specific interests in energy related fields include stability and security assessment, integration of distributed and renewable generation. He is the recipient of 2016 NSF CAREER award “Computational toolbox for improved security of power systems”.
Prof. P. R. Kumar, IEEE Fellow
University Distinguished Professor, Texas A&M University, USA
Speech: Towards a systems theory for the integration of renewables
Abstract: Five issues that arise in relation to the integration of renewables into the grid will be addressed.
(i) How should the ISO determine prices that maximize social welfare of the participating loads and generators?
(ii) How can load serving entities effect demand response while respecting the privacy of the loads?
(iii) How are loads reacting to prices?
(iv) How can the data from PMUs be made intelligible and visualizable to operators?
(v) How to optimally operate EV charging stations?
The talk will provide a description of the efforts at developing an understanding of these problems.
Biography: P. R. Kumar obtained his B. Tech. degree in Electrical Engineering (Electronics) from I.I.T. Madras in 1973, and the M.S. and D.Sc. degrees in Systems Science and Mathematics from Washington University, St. Louis, in 1975 and 1977, respectively. From 1977-84 he was a faculty member in the Department of Mathematics at the University of Maryland Baltimore County. From 1985-2011 he was a faculty member in the Department of Electrical and Computer Engineering and the Coordinated Science Laboratory at the University of Illinois. Currently he is at Texas A&M University, where he is a University Distinguished Professor and holds the College of Engineering Chair in Computer Engineering.
Kumar has worked on problems in game theory, adaptive control, stochastic systems, simulated annealing, neural networks, machine learning, queueing networks, manufacturing systems, scheduling, wafer fabrication plants and information theory. His research is currently focused on energy systems, wireless networks, secure networking, automated transportation, and cyberphysical systems.
Kumar is a member of the National Academy of Engineering of the USA, and a Fellow of the World Academy of Sciences. He was awarded an honorary doctorate by the Swiss Federal Institute of Technology (Eidgenossische Technische Hochschule) in Zurich. He received the Outstanding Contribution Award of ACM SIGMOBILE, the IEEE Field Award for Control Systems, the Donald P. Eckman Award of the American Automatic Control Council, and the Fred W. Ellersick Prize of the IEEE Communications Society. He is an ACM Fellow and a Fellow of IEEE. He was a Guest Chair Professor and Leader of the Guest Chair Professor Group on Wireless Communication and Networking at Tsinghua University, Beijing, China. He is an Honorary Professor at IIT Hyderabad. He is a D. J. Gandhi Distinguished Visiting Professor at IIT Bombay. He was awarded the Distinguished Alumnus Award from IIT Madras, the Alumni Achievement Award from Washington University in St. Louis, and the Daniel C. Drucker Eminent Faculty Award from the College of Engineering at the University of Illinois.
Prof. Longya Xu, IEEE Fellow
The Ohio State University, USA
Speech: Dynamics and Advanced Control of DFIG Wind Turbines under Low-Voltage-Ride-Through (LVRT) Conditions
Abstract: The high penetration of large capacity wind power generation into the electric power grid has led to serious concerns about their influence on the dynamic behavior of power systems. The Low-Voltage Ride-Through (LVRT) capability of wind turbines during grid faults is one of the core requirements to ensure stability in the power grid during transients. This study presents a dynamic analysis and advanced control of DFIG during LVRT with grid connection. Detailed investigation is given in the transient characteristics of DFIGs during symmetrical and asymmetrical grid voltage sags. An advanced control strategy and its implementation is described and effectiveness with the LVRT control are verified by computer simulation results.
Biography: Longya Xu received his M.S. and Ph.D. degrees from the University of Wisconsin-Madison, in 1986 and 1990 both in Electrical Engineering. He joined the Department of Electrical Engineering at The Ohio State University in 1990, where he is presently a full professor. Dr. Xu is the founding director of the newly established Center of High Performance Power Electronics (CHPPE) at The Ohio State University, supported by The Ohio Third Frontier Program ($9.8M). Recently he also won a major DoE Award ($2.7M) working on Silicon Carbide based MMC converter for high power density variable drives.
Dr. Xu’s research and teaching interests include dynamics and optimized design of special electrical machines and power converters for variable speed systems, application of advanced control theory and digital signal processor for motion control and distributed power systems in super-high speed operation. He has conducted many research projects on electrical and hybrid electrical vehicles and variable speed constant frequency wind power generation systems.
Dr. Xu is an IEEE Fellow and a well-recognized individual in the related professional community. He has received several IEEE prestigious awards, including the First Prize Paper Award 1992 from Industry Drive Committee IEEE/IAS, Best Transaction Paper Award 2013 and Outstanding Achievement Award 2014, the highest society award, from IEEE Industry Application Society.
Dr. Xu has served as the chairman of Electric Machine Committee of IEEE/IAS and an Associate Editor of IEEE Transactions on Power Electronics over the past two decades. Dr. Xu was a member-at-large on IEEE/IAS Executive Board and the Conference Co-Chair for IEEE Transportation Electrification Conference and Expo, Asia-Pacific 2014.
Prof. Hsiao-Dong Chiang
, IEEE Fellow
School of Electrical and Computer Engineering, Cornell University, USA
Speech: A Smart Transmission System and Its Applications
Abstract: We will present an Advanced Voltage Control (AVC) system which is a three-tiered online volt/VAR control system designed to improve system reliability and operational efficiency, such as voltage profile and available transfer capability for transferring renewable energy, with optimal control strategy.
The proposed three-tiered AVC System employs three-level hierarchical voltage control architecture. The tertiary tier is performed every hour, and it focuses on increasing system available transfer capability (ATC) subjected to voltage stability constraints. It will determine the optimal selection of pilot buses and their voltage setting. The secondary tier will perform every 15 minutes to optimize the regional desired objectives, such as enhancing operating efficiency or reducing system losses, while maintaining the voltage setting of the pilot buses determined by the tertiary tier and satisfying system operational and engineering constraints. Control actions include generator terminal voltages, transformer taps, shunt capacitor settings real power rescheduling, etc. The optimal setting decided by the secondary tier will be sent to the primary tier as control signals, and will be executed by the control devices located at the substation level and the power plant level on a minute basis.
The proposed AVC system is highly adaptive to network changes and achieve high-quality optimal AVC results. The benefits of the proposed AVC system include the following without additional infrastructure investment:
• Increased Available Transfer Capability of power grids
• Reduced Power Losses
• Improved Voltage Profile
The research work has been conducted in collaboration with Dr. Yasuyuki Tada, Hitachi Ltd., Energy Solution Business Unit, Tokyo, Japan.
Biography: Dr. Hsiao-Dong Chiang, received his Ph.D. in Electrical Engineering from University of California, Berkeley. He is currently a Professor of Electrical and Computer Engineering at Cornell University. Dr. Chiang is the founder of Bigwood Systems, Inc. (BSI), Ithaca, NY and Global Optimal Technology, Inc., Ithaca, NY. He was awarded Chang-Jiang Chair professorship from 2006-2009. He was recognized as an IEEE Fellow in 1997 and became a Full Professor in 1998 at Cornell.
Professor Chiang's research effort is focused on both theoretical developments and practical applications. Particular areas include nonlinear system theory, nonlinear computations and their practical applications to electric circuits, systems, signals and images. He and his co-workers have developed a comprehensive theory of stability regions for general nonlinear dynamical systems (including continuous, discrete, interconnected, hyperbolic and non-hyperbolic nonlinear systems) and their practical applications. He and his co-workers have developed BCU method and Group-based BCU method for fast direct stability assessments for electric power systems. He has developed a new global optimization methodology, called Trust-Tech methodology and is working with his team on the practical applications of Trust-Tech methodology. He and his group also work on the development of computational methods for nonlinear analysis and control of large-scale systems.
He and his group at Cornell have published more than 350 refereed journal and conference papers. The H-factor of his publication is 29. Dr. Chiang has been awarded 12 US patents and 4 overseas patents, with another 9 US patents pending. He is currently on the Editorial Board of IEEE Japan and on the Journal of Electric Power Systems and Components.
Prof. Faz Rahman, IEEE Fellow
Head of Energy Systems, School of Electrical Engineering, University of New South Wales, Australia
Title: Converters with High Boost, Energy Storage and Bi-Directional Power Flow in Energy Systems
Prof. Tomonobu Senjyu
University of the Ryukyus, Japan
Title: Multi-Objective Optimization Approach for SVRs Annual Optimal Operation and Optimal Placement
Prof. Long Le
INRS-EMT, University of Quebec, Montreal, Quebec, Canada
Title 1: Minmax Profit Sharing Scheme for Cooperative Wind Power Producers
Title 2: Online Ensemble Learning for Security Assessment in PMU-Based Power Systems
Prof. Van-Tung Phan
School of Electrical and Electronic Engineering, Newcastle University, UK
Title: Design and Implementation of a Multi-Output Inductive Charger for Electric Vehicles
Prof. Toshiyuki Ohtsuka
Kyoto University, Japan
Title: Load Frequency Control by Integrating Real-time Price Presentations for Consumers and Direct Commands issued to Generators and Batteries
Prof. Phuong H. Nguyen
Eindhoven University of Technology, Netherland
Title: Distributed Intelligence: Unleashing Demand Flexibilities for Congestion Management in Smart Distribution Networks
Dr. Ricky R. Chan, Technology Manager
ABB Marine and Ports, Singapore
Title: Enabling Technologies for Sustainable All – Electric Hybrid Vessels
Prof. Tatsuo Narikiyo
Toyota Technological Institute, Japan
Title: Certificates for Robust Stability in Transmission Power Grids under Network Changes
Prof. Nesimi Ertugrul
School of Electrical and Electronic Engineering, The University of Adelaide, Australia
Title: Battery Storage Technologies, Applications and Trend in Renewable Energy
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