CPI Research Showcase – April 18, 2016


Join us at the Centre for Power and Information (CPI) Research Showcase, a one-day event hosted at the University of Toronto on April 18, 2016 in Sandford Fleming Building  Room 1105.

The  Centre  for  Power  and  Information  (CPI)  is  a  multidisciplinary  centre  situated  in  the  Edward  S. Rogers  Department  of  Electrical  and  Computer  Engineering  at  the  University  of Toronto  focused  on R&D thrusts related to future power grids. CPI’s mission is to address pressing societal energy issues at an infrastructural level through fundamental research, industry collaboration, and education locally in Ontario  and  worldwide.  As  such,  CPI  is  hosting  a  day  long research  showcase  that  will  explore  and demonstrate  current  advances  in  modern problems  that  include  power  systems,  including  renewable and  storage  integration,  cyber-physical  security  and  control,  forecasting  and  data  analytics,  and demand  response  amongst other  challenges. Five  esteemed  faculty  members  will  present  their research  developments  in  this  area.  Moreover,  a  poster  session  highlighting  the  work  of  graduate students will also take place.

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CPI Research Showcase: Agenda

10:00 - 10:15Welcome address - Professor Kundur
10:15 - 11:15Professor Ben LiangStochastic Optimization of Renewable Integrated Power
11:15 - 11:45Coffee Break - EV Power Train Demo
11:45 - 12:45Professor Josh TaylorRepresenting Storage and Demand Response in Power
System Operations
12:45 - 1:30 Lunch
1:30 - 2:30 Professor Steve MannGrasping Gravitational Waves with the Gravlet Transform: Unlocking the Secrets of Nature with the SWIM (Sequential Wave Imprinting Machine)
2:30 - 3:00Coffee Break - Research Posters & SWIM Demo
3:00 - 4:00Professor Zeb TateSustainability and the Smart Grid
4:00 - 5:00 Professor Deepa KundurCyber-Physical Security of Energy Infrastructure

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Deepa Kundur

Cyber-Physical Security of Energy Infrastructure

Abstract: The scale and complexity of the smart grid, along with its increased connectivity and automation, make the task of its cyber protection challenging. Moreover, grid protection remains daunting to asset owners because of resources limitations. Important questions arise when identifying priorities for design and protection: Which cyber components, if compromised, can lead to significant power delivery disruption? What grid topologies are inherently robust to classes of cyber attack? Is the additional information available through advanced information technology worth the increased security risk? We assert that a key research challenge in addressing these fundamental questions lies in the effective understanding of the cyber-physical synergy of the smart grid. This gives rise to the problem of cyber-physical system security. In this talk, we introduce this emerging problem in the context of the smart grid and present dynamical systems-based frameworks for modeling cyber-physical interactions for vulnerability and risk analysis.

Bio: Deepa Kundur is a Professor and Director of the Centre for Power & Information in The Edward S. Rogers Sr. Department of Electrical & Computer Engineering at the University of Toronto. Her research interests lie at the interface of cyber security, signal processing and complex dynamical networks. She is an author of over 150 journal and conference papers. She serves as General Chair of the Workshop on Communications, Computation and Control for Resilient Smart Energy Systems at ACM e-Energy 2016 and the Communications for the Smart Grid Track of ICC 2017. She has recently served as General Chair for the IEEE GlobalSIP’15 Symposium on Signal and Information Processing for Optimizing Future Energy Systems, the 2015 International Conference on Smart Grids for Smart Cities and the 2015 Smart Grid Resilience (SGR) Workshop at IEEE GLOBECOM 2015. Professor Kundur’s research has received best paper recognitions at numerous venues including the 2015 IEEE Smart Grid Communications Conference and the 2015 IEEE Electrical Power and Energy Conference. She is a Fellow of the IEEE and serves on the Editorial Board of IEEE Spectrum.

Ben Liang

Stochastic Optimization of Renewable Integrated Power Grids

Abstract: Since renewable generation is often intermittent and non-dispatchable, its large-scale integration into the power grid could create additional instability that upsets the balance between energy supply and energy demand. In this talk, we discuss the problem of power balancing in a general renewable-integrated power grid with storage and flexible loads. Aiming at minimizing the long-term system cost, we first present a real-time centralized power balancing solution, taking into account the uncertainty of the renewable generation, loads, and energy prices. We then give a distributed implementation algorithm, which significantly reduces both computational burden and communication overhead. We demonstrate that the proposed algorithm is asymptotically optimal as the storage capacity increases and the ramping constraint of conventional generation loosens. Moreover, the distributed implementation scheme allows fast convergence and enables each renewable generator to make their own decision. Computer simulation further shows that the proposed algorithm can achieve near-optimal performance for a wide range of storage capacity.

Bio: Ben Liang received honors-simultaneous B.Sc. (valedictorian) and M.Sc. degrees in Electrical Engineering from Polytechnic University in Brooklyn, New York, in 1997 and the Ph.D. degree in Electrical Engineering with a minor in Computer Science from Cornell University in Ithaca, New York, in 2001. In the 2001 – 2002 academic year, he was a visiting lecturer and post-doctoral research associate with Cornell University. He joined the Department of Electrical and Computer Engineering at the University of Toronto in 2002, where he is now a Professor. His current research interests are in networked systems and mobile communications. He has served as an editor for the IEEE Transactions on Communications, an editor for the IEEE Transactions on Wireless Communications, and an associate editor for the Wiley Security and Communication Networks journal, in addition to regularly serving on the organizational and technical committees of a number of conferences. He is a senior member of IEEE and a member of ACM and Tau Beta Pi.

Steve Mann

Grasping Gravitational Waves with the Gravlet Transform: Unlocking the Secrets of Nature with the SWIM (Sequential Wave Imprinting Machine)

Abstract: I will describe a very simple augmented reality device that I invented, designed, and built, at the age of 12, back in the 1970s to measure the speed of light or sound, and, more interestingly, to cancel its propagatory effect on travelling waves.  The device consists of a linear array of light sources that is waved back and forth to reveal otherwise hidden sensory capacity of “smart” devices all around us.  The light sources are controlled by a wearable computer system driven by a signal receiver to make sound waves, radio waves, and sensory capacity visible through “persistence of exposure” on the human retina or photographic film.  I will begin with the concept I call “sitting waves” in which the speed of the wave is taken from it, so that it “sits” still.  Whereas standing waves are well-known, and are the sum of waves travelling in opposite directions, the new “sitting waves” concept arises from the product of waves travelling in the same direction, one of which arises from a local oscillator of a superheterodyne receiver.  The device is of fundamental simplicity and can be built for less than $10 in less than on hour, as outlined in my Instructable: http://www.instructables.com/id/Imprint-Invisible-Sound-and-Radio-Waves-Onto-Your-/ I will also outline metasensing which is the sensing of sensors and the sensing of their capacity to sense, as well as the “BugBot”, a bug-sweeping robot based on the principle of a lock-in camera and lock-in aremac. We’ll also present recent work on visualization of waves in the context of both information and power, energy, and action, for example, visualization of gravitational waves as in another recent Instructable: http://www.instructables.com/id/Grasping-Gravitational-Waves-Augmented-Reality-Rob/

Bio: Steve Mann has been recognized as “the father of wearable computing” (IEEE ISSCC 2000) and “the father of augmented reality (AR)” for his invention of “Digital Eye Glass” (EyeTap) and mediated reality (predecessor of AR). He also invented the Chirplet Transform, Comparametric Equations, and HDR (High Dynamic Range)imaging (U.S. Pat. 5828793). He received his PhD from MIT in 1997, and is a tenured professor at the University of Toronto. Mann is also the inventor of the hydraulophone, the world’s first musical instrument to make sound from vibrations in liquids, giving rise to a new theory of reverse kinematics and mechanics based on the time-integral of displacement, for which Mann coined the term “absement”. Mann has authored more than 200 publications, books and patents, and his work and inventions have been shown at the Smithsonian Institute, National Museum of American History, The Science Museum, MoMA, Stedelijk Museum (Amsterdam), and Triennale di Milano.

Zeb Tate

Sustainability and the Smart Grid

Abstract: The shift in electricity generation–from conventional, fuel-based plants to a variety of renewable generation technologies–presents significant challenges for reliable operation of the power grid. For example, uncertainties in the forecasts of wind and solar plants can limit the ability of power grid operators to identify potential reliability problems on the network and take preemptive action. In addition, the replacement of high-inertia generators (e.g., coal plants) with low-inertia generators (e.g., PV) can lead to greater frequency fluctuations on the network. Two research projects will be presented that address these challenges: (1) a new tool that allows grid operators to identify transmission line overloads that may arise due to forecast errors in renewable generation, and (2) a controller for grid-connected storage that reduces transient under-frequency events and automatic load shedding.

Bio: Zeb Tate joined the Department of Electrical and Computer Engineering at the University of Toronto in 2008 after completing his Ph.D. at the University of Illinois at Urbana-Champaign. His research focuses on combining advanced telemetry, data processing, and visualization techniques to facilitate renewable integration and improve power system reliability.

Josh Taylor

Representing Storage and Demand Response in Power System Operations

Abstract: Flexibility from energy storage and flexible load aggregations is essential to renewable energy integration. Presently, high costs and awkward regulatory rules hinder the broad adoption of storage in power systems. In this talk, we present the financial storage right, a new market mechanism that widens the economic viability of energy storage. Financial storage rights enable storage to participate in electricity markets in the same manner as transmission lines, and further enables risk-averse market participants to hedge against nodal price volatility resulting from storage congestion. In the second part of this talk, we develop a new framework for concisely representing load aggregations in a way that can be incorporated into power system operations and markets. The framework operates by approximating the Minkowski sum of loads represented by polytopes as another low- dimensional polytope.

Bio: Josh A. Taylor received the B.S. degree from Carnegie Mellon University in 2006, and the S.M. and Ph.D. degrees from the Massachusetts Institute of Technology in 2008 and 2011, all in Mechanical Engineering. From 2011 to 2012, he was a postdoctoral researcher in Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is currently an assistant professor in the Department of Electrical and Computer Engineering at the University of Toronto and the Associate Director of the Institute for Sustainable Energy. His current research focuses on control and economics of electric power systems.