Sergio Verdú Princeton University
Sergio Verdú is the Eugene Higgins Professor of Electrical Engineering at Princeton University. A member of the Information Sciences and Systems group and the Program in Applied and Computational Mathematics, his research interests are in Information Theory, Data Compression and Transmission. Sergio Verdú received the Telecommunications Engineering degree from the Universitat Politecnica de Barcelona, and the Ph.D. degree in Electrical Engineering from the University of Illinois at Urbana-Champaign. Conducted at the Coordinated Science Laboratory of the University of Illinois, his doctoral research pioneered the field of Multiuser Detection.
Sergio Verdú was elected member of the U. S. National Academy of Engineering and the U. S. National Academy of Sciences. He is the recipient of the Claude E. Shannon Award (the highest award in information theory), and the IEEE Richard W. Hamming Medal. He received the Frederick E. Terman Award from the American Society for Engineering Education, and the IEEE Third Millennium Medal. He received a Doctorate Honoris Causa from the Universitat Politecnica de Catalunya, and was elected corresponding member of the Real Academia de Ingeniería of Spain. He was elected an IEEE Fellow, and is currently Editor-in-Chief of Foundations and Trends in Communications and Information Theory.
Steven H Low Caltech
We are at the cusp of a historical transformation of our power systems into a more sustainable, dynamic, intelligent, and distributed form. Hundreds of millions of distributed energy resources, such as solar panels, wind turbines, electric vehicles, smart buildings, smart appliances, storage devices, and power electronics, that may not only consume, but may also generate, sense, compute, communicate and actuate.
We are interested in the optimization and control of a large network of these resources in a plug-and-play environment of the future. This requires solving power flow equations which is well-known to be hard. The grid, however, solves them in real-time exactly at scale, and we propose to exploit it explicitly to carry out part of our optimization algorithm.
This approach not only improves scalability, but also naturally adapts to evolving network conditions. In this talk, we present two examples.
The first example presents an online algorithm to solve an optimal power flow problem at a slow timescale on a radial network where the controllable devices continuously interact with the network that implicitly computes a power flow solution given a control action. Collectively these devices and the network implement a gradient projection algorithm in real time. We prove that the proposed algorithm converges to a set of local optima and provide sufficient conditions under which it converges to a global optimum. We derive an upper bound on the suboptimality gap of any local optimum. This bound suggests that any local optimum is almost as good as any strictly feasible point.
In the second example, the online algorithm integrates primary frequency regulation, secondary frequency regulation, and congestion management at a fast timescale. The algorithm is distributed in that it requires communication only between neighboring buses. Collectively, the controllable devices and the swing dynamics of the network implement a primal-dual algorithm to rebalance power, restore nominal frequency and inter-area flows, and enforce line limits at a minimum control cost. We prove sufficient conditions under which the algorithm converges to a global optimum.
(Joint work with Changhong Zhao, Enrique Mallada, Lingwen Gan)
Steven H. Low is a Professor of the Department of Electrical Engineering and the Department of Computing & Mathematical Sciences at Caltech. Before that, he was with AT&T Bell Laboratories, Murray Hill, NJ, and the University of Melbourne, Australia. His interests are in communication networks and power networks. Research from his group is accelerating more than 1TB of Internet traffic every second.
He is a Senior Editor of the IEEE Transactions on Control of Network Systems and the IEEE Transactions on Network Science & Engineering, is on the editorial boards of NOW Foundations and Trends in Networking, and in Electric Energy Systems, as well as Journal on Sustainable Energy, Grids and Networks. He received his B.S. from Cornell and PhD from Berkeley, both in EE, and is an IEEE Fellow.
As CISS celebrates its first 50 years, this Plenary Panel will discuss the opportunities and challenges of research in information science and systems in the next five decades
Panelists: Emmanuel Abbe, Paul Cuff, Prateek Mittal
Moderator: Peter Ramadge.