Integrated Networks for Electricity Presents:

Future Green Technologies:
Challenges and Opportunities

Friday, September 6, 2013
Lehigh University|Mountaintop Campus
Iacocca Hall|Wood Dining Room


Workshop Presenters


Sandeep Bala
Sandeep Bala
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Principal Scientist
ABB Corporate Research

Sandeep Bala is currently a Principal Scientist at ABB Corporate Research in Raleigh, North Carolina. Prior to joining ABB, he obtained his Master's and PhD degrees in Electrical Engineering from the University of Wisconsin-Madison, where he worked on the control of power electronic converters in micro-grids. He received his Bachelor's degree in Electrical Engineering from the Indian Institute of Technology, Bombay, India. During his tenure with ABB, Dr Bala has been responsible for research on low and medium voltage power electronics technologies for applications in the future electrical grid. He led the research effort that laid the foundation for the development of a distributed energy storage unit using commercial electric vehicle batteries. His current research interests also include the grid integration of offshore wind and marine renewable energy.

Energy Storage Systems in the Distribution Grids of the Future
Energy storage has long been hailed as the holy grail of the renewable energy industry. It allows the power generated from variable sources to be buffered, thereby enabling smoother operation of the electric network. But this so-called firming of renewable capacity is not the only interesting application of energy storage in the grid. Storage also benefits the distribution grid by enabling improved reliability, efficiency, system utilization, and load factor.Each of these applications imposes a different set of requirements on the characteristics of the energy storage system.

ABB has been involved in distributed electrical energy storage systems for more than a decade. ABB&'s experience ranges over a wide variety of energy storage systems, including battery and flywheel energy storage systems. Recently ABB has been involved in R&D projects with General Motors and Nissan to explore the possibility of reusing aged electric vehicle batteries as the medium for storing energy for the grid. As lithium-ion batteries age, their energy storage capacities fade. Eventually they would not be able to provide enough range for the electric vehicles they are used in, but they could still have enough energy storage capacity to be used in applications where energy density is not critical. Utilizing these lithium-ion batteries to the fullest requires careful design of the battery monitoring and thermal management systems. There remain several open questions that would be addressed only after collecting and analyzing more data.


Rick Blum

Rick Blum (panel moderator)
Professor and Robert W. Wieseman Chair
Electrical and Computer Engineering
Lehigh University

Rick Blum's research focus is on using Signal Processing and Communication theory to solve problems related to smart electrical grid systems. In one set of investigations, his group has been using hypothesis testing to detect failures and intrusions in smart grid systems. A smart electrical grid system implies the use of sensors at many nodes of the network. Each sensor gauges critical quantities and uses communication links to send these measurements to a control center. These measurements should be consistent with accurate mathematical models for these smart grid systems. Here, Prof. Blum's research attempts to detect failures or intrusions by detecting changes in the mathematical model describing the smart grid system that imply physical changes in the system or alteration of measurement packets. The results are new hypothesis testing methods which perform nearly as well as an unachievable optimum genie-based test that knows the exact value of the change in the mathematical model. Recent investigations imply that existing measurement devices, currently installed in the existing grid, can sample fast enough to achieve nearly identical performance to systems which sample much more rapidly in many scenarios of practical interest.

More recently, Prof. Blum has been studying joint design of the communications and the processing typically employed in the networks monitoring a power system. For example, his group has been examining the impact of imperfect communications on power flow calculations. Resource allocation and optimum processing of the original measurements are studied to achieve the most accurate calculations.


Sarah Burlew
Sarah Burlew (panelist)
Manager, Applied Solutions
PJM Interconnection

Sarah Burlew is responsible for sourcing, evaluating, leveraging, and supporting the adoption and implementation of advanced solutions for the operation of the bulk power transmission system and the operation of all related markets.She is also responsible for developing, managing, and leveraging PJM's international relationships.

Previously, Burlew held the position of manager for the Emerging Markets department, within the Market Evolution Division, responsible for leading the development of, and expansion into, emerging PJM market and service offerings. During that time, she also served as Director, Business Development for the PJM subsidiary, PJM Envirotrade, a solar renewable energy certificate auction platform. Prior to that, she was a project leader in the Market Services Division.

Burlew holds a Bachelor of Science in Accounting, with a minor in Marketing, and a Master of Business Administration, both from Villanova University.

PJM Interconnection, founded in 1927, works behind the scenes, coordinating the movement of electricity in all or parts of 13 states and the District of Columbia, making sure there is enough electricity for the 60 million people in our region. PJM coordinates and directs the operation of the region's transmission grid; administers a competitive wholesale electricity market, the world's largest; and plans regional transmission expansion improvements to maintain grid reliability and relieve congestion. Visit learn.pjm.com to learn more about PJM.


Mooi Choo Chuah
Mooi Choo Chuah (panel moderator)
Associate Professor and CompE Co-Director
Computer Science & Engineering
Lehigh University

Mooi Choo Chuah, associate professor of computer science and engineering, runs the Wireless Infrastructure and Network Security Laboratory (WiNSLab) at Lehigh University. She is also the Co-Director of Lehigh's Computer Engineering program. Chuah is an expert on future wireless data system design. Her research group designs next generation internet features and security solution for heterogeneous networked systems. Her research interests related to smartgrid include designing next generation integrated information and power system that incorporates future internet features, security design for future integrated power systems e.g. features that enable secure sharing of power system measurements, communication and network protocols to facilitate smartgrid operations (e.g., demand response system, automatic control of voltage and frequency using PMU measurements.) Her research is supported by the U.S. National Science Foundation (NSF), the Defense Advanced Research Projects Agency (DARPA), the Army Research Laboratory (ARL), Cisco etc.


Marija Illic

Marija Ilic
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Professor, Electrical and Computer Engineering
Carnegie Mellon University

Marija Ilic received her Doctor of Science Degree in Systems Science and Mathematics at Washington University in St. Louis, MO, in 1980, and all other degrees in Electrical Engineering at the University of Belgrade, Serbia. She is currently a Professor at Carnegie Mellon University, Pittsburgh, PA, with a joint appointment in the Electrical and Computer Engineering and Engineering and Public Policy departments. She is the Director of the Electric Energy Systems Group (EESG), eesg.ece.cmu.edu. She is also the Honorary Chaired Professor for Control of Future Electricity Network Operations at Delft University of Technology in Delft, The Netherlands. She was an Assistant Professor at Cornell University, Ithaca, NY, and tenured Associate Professor at the University of Illinois at Urbana-Champaign. She was then a Senior Research Scientist in the Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, from 1987 to 2002. She has 30 years of experience in teaching and research in the area of electrical power system modeling and control. Her main interest is in the systems aspects of operations, planning, and economics of the electric power industry. She has co-authored several books in her field of interest. Prof. Ilic is an IEEE Fellow.

Graph-Theoretic Formulationsfor Line Flow Monitoring and Optimization in Smart Grids
In this talk we present a new formulation ofpower flow problem in terms of line flow calculations for both radial and meshed networks. Problem formulations, conditions for numerical stability of these new algorithms and, in particular,distributed implementations will be presented. Examples of practical applications of these new methods for integrating FACTS, distributed series reactors (DSRs), dynamic line ratings (DLRs) to enable feasible and efficient power delivery in smart grids are given. In the second part of this talk we present a recently introduced an exactmesh-to-tree graph transformation necessary to enable use of flow optimization methods currently used for transportation networks. Examples of using this transformation for securemonitoring of power loop flows in multi-area large scale grids are presented. In summary, the talk offers new formulations in terms of flow variables instead of commonly used injection variables.


Kate Edwards
Kate Edwards (panelist)
Manager, Advanced Technology Group
Ocean Power Technologies, Inc.

As manager of OPTís Advanced Technology Group, Dr. Edwards leads the team in quantitative assessments of the design and performance of PowerBuoy systems, including statistical evaluation of loading; power output estimates based on modeling and tank testing; improved control of the power takeoff for power optimization; and assessment of survival and operational criteria. Previously at the Applied Physics Laboratory at the University of Washington, Dr. Edwards performed statistical and mathematical analysis of oceanographic time series and performed research on air-sea interaction. As a postdoctoral researcher at the University of Washington, she analyzed data from oceanographic measurement programs. Her Ph.D. thesis in Physical Oceanography concerned the enhanced drag at coastal obstacles experienced by winds along the U. S. West Coast. Prior to graduate school, Dr. Edwards performed an analysis of the domestic petroleum industry as a research assistant at ICF, Inc. She received her Ph.D. degree from Scripps Institute of Oceanography and her B.A. degree from Wesleyan University.

Scott Fisher
Scott Fisher (panelist)
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Director, Alternative Energy Services
NRG Energy, Inc.

Scott Fisher is currently Director, Alternative Energy Services at NRG Energy, Inc., based in Princeton, NJ. In that role, Mr. Fisher leads several distributed generation-based initiatives in the areas of solar, energy storage, including NRG's joint venture with the University of Delaware to commercialize vehicle to grid technology. Previously, he led NRG's successful efforts to secure federal funding for its renewable development and clean coal projects, and served in NRG's plant operations group. Mr. Fisher's prior experience includes corporate management consulting at Booz & Co, as well as 5 years at Public Service Enterprise Group (PSEG), New Jersey's largest utility. While at PSEG, he worked in a variety of roles, including in corporate strategy, project management, and plant operations. In addition to working at NRG, Mr. Fisher is currently an Adjunct Professor at Columbia University's Earth Institute. He has an MBA from the Yale School of Management and holds a BA from Vassar College.


Michael Reed
Michael C. Reed
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Program Manager/Chief Engineer, Water Power Program
U.S. Department of Energy

Michael C. Reed currently serves as the Program Manager and Chief Engineer for the U.S. Department of Energy's Water Power Program, within the Wind and Water Power Technologies Office. He is responsible for managing DoE research, development, test and evaluation (RDT&E) efforts for both marine and hydrokinetic (MHK) and hydropower technologies. He has a B.S. in Marine Engineering (U.S. Merchant Marine Academy) and an M.S. in Environmental Science (Johns Hopkins University). In his previous roles with the U.S. Navy and engineering consulting firms, he has focused on the development of advanced marine power and propulsion systems.

Leading Technologies and DoE Efforts in Ocean Wave Energy
There are tremendous energy resources contained in the world's oceans. An emerging set of innovative technologies are currently under development around the world to tap into the mechanical (hydrokinetic), thermal, and osmotic power potential contained in this largely untapped resource. Collectively termed ocean energy, or marine and hydrokinetic (MHK) technologies, the U.S. Department of Energy is supporting a broad portfolio of research, development, test and evaluation (RDT&E) activities to help realize the potential of these emerging technologies as another clean energy portfolio option for our Nation. This presentation will provide an overview of the leading technologies and DoE's efforts to advance the technology readiness of these systems.


Jason Hoffman
Jason Hoffman (panelist)
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Senior Engineer
Ecoult Energy Storage Solutions

Jason Hoffman is an Engineer at Ecoult located in Lyon Station PA. He received his B.S in Electrical Engineering from Bucknell University in 2005 and his M.S. in Electrical Engineering from Penn State University in 2007. Prior to joining Ecoult Jason worked in the electric utility and wind industries.


Lee Slezak (panelist)
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Program Manager, Vehicle Technologies
U.S. Department of Energy

Lee Sezlak currently serves as Vehicle Technologies Program Manager for the Department of Energy.


Lang Tong
Dr. Lang Tong
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Irwin and Joan Jacobs Professor in Engineering
Director, Power Systems Engineering Research Center
Cornell University


Lang Tong is the Irwin and Joan Jacobs Professor in Engineering at Cornell University, Ithaca, New York. He is also the Cornell site director for the Power System Engineering Research Center (PSERC). Lang Tong's current research focuses on inference, optimization, and economic problems in energy and power systems. He received the B.E. degree in Automation from Tsinghua University, Beijing, China, in 1985, and M.S. and Ph.D. degrees in electrical engineering in 1987 and 1991, respectively, from the University of Notre Dame, Notre Dame, Indiana. He was a Postdoctoral Research Affiliate at the Information Systems Laboratory, Stanford University in 1991. He was the 2001 Cor Wit Visiting Professor at the Delft University of Technology and held visiting positions at Stanford University and the University of California at Berkeley. Lang Tong is a Fellow of IEEE. He received the 1993 Outstanding Young Author Award from the IEEE Circuits and Systems Society, the 2004 best paper award from IEEE Signal Processing Society, and the 2004 Leonard G. Abraham Prize Paper Award from the IEEE Communications Society. He is also a coauthor of seven student paper awards. He received Young Investigator Award from the Office of Naval Research. He was a Distinguished Lecturer of the IEEE Signal Processing Society.

Retail Pricing for Demand Response in an Uncertain and Dynamic Environment
The problem of optimizing dynamic electricity retail price for residential consumers is considered. A two stage retail market structure is modeled as a Stackelberg game between the retailer and the consumers. We characterize the region of achievable trade-off between consumer surplus and retail profit by a day ahead dynamic pricing (DADP) scheme. It is shown that this region is characterized by a concave and non-increasing Pareto front, and each point on the Pareto front corresponds to an equilibrium in the dynamic game with a particular payoff function. Any consumer surplus-retail profit pair above the Pareto front is not attainable by any dynamic pricing scheme. Effects of renewable energy are also considered.


Dean S. David Wu
S. David Wu
Dean and Iacocca Professor
P.C. Rossin College of Engineering and Applied Science
Lehigh University

S. David Wu is Dean of the P.C. Rossin College of Engineering and Applied Science at Lehigh University, where he holds the Lee A. Iacocca endowed chair. Dr. Wu was appointed Dean of the Engineering College in 2004. A well-known scholar in operations research, he specializes in optimization, game theory, and statistical analysis. He has received significant support for his research from the National Science Foundation (NSF), Department of Defense (DOD), Semiconductor Research Corporation (SRC), and Sandia National Laboratories. Professor Wu's work in the high-tech industry has been widely recognized and cited, including Best Paper Awards, finalist for the 2009 Daniel H. Wagner Prize for Excellence in Operations Research Practice, and extensive media coverage. His work has been tested and implemented at firms such as Intel, Infineon, Freescale, Lucent, HP, and IBM. A fellow of IIE, Wu has published more than 100 scholarly papers and served as editor or editorial board member on more than a handful of journals in his field. His work was published in journals such as Operations Research, Management Science, and Naval Research Logistics and he co-edited the best-selling book Handbook of Quantitative Supply Chain Analysis (Springer/Kluwer) with David Simchi-Levi and Max Shen. Dean Wu has served on various national and international panels such as the NSF, the Science Foundation of Ireland, and the Research Grant Council of Hong Kong. He currently serves on the board of overseers for Dartmouth College's Thayer School of Engineering, and the engineering advisory board for the Hong Kong University of Science and Technology (HKUST). He received his M.S. and Ph.D. from the Pennsylvania State University in 1987. He was a visiting professor at the University of Pennsylvania, and HKUST.