Symposium Co-chairs

Pei Zhang, Carnegie Mellon University, USA
Le Xie, Texas A&M University, USA, lxie@ece.tamu.edu
Yannick Phulpin, EDF, France

Scope and Motivation

Modernization of the electrical power grid involves widespread sensing to gather fine-grained real-time information. Ubiquitous communications links are then needed to relay the data to be processed in the computing centers and to convey the control signals back to the grid components. While the innovative smart grid infrastructure is envisioned to increase the efficiency and reliability of grid operations, the increased complexity of the new system has to be addressed. How should the current system and market operation paradigms change to facilitate incorporation of all these elements with heterogeneous characteristics? How can we take advantage of communication and information technology to develop sophisticated control and optimization techniques with reasonable computational complexity to mitigate the effects of the induced uncertainties? This symposium focuses on the holistic issues in smart grid communications.

Topics of Particular Interest

This symposium invites prospective authors to submit papers that address the aforementioned issues in their generality or in one of the specific contexts listed below:

• Infrastructure

  1. Fine-grain building energy monitoring and control

  2. Reference architecture

  3. Public vs. private networks

  4. Fault tolerant and self-healing design

• Modeling and Control in Smart Grids: Theory, Application, and Practical Issues

1. Central and distributed control under communication constraints
2. Stochastic control and optimization for a probabilistic framework for transmission and distribution system operation
3. Distributed control and optimization for control and coordination within and across microgrids
4. Low complexity control and communication for energy efficient building operation and management
5. Distributed sensing, communication, and control for prediction and prevention of cascade failures
6. Data-driven and physics-based modeling of emerging smart grid behaviors

• Data Requirements

1. Data standards
2. Value of Information: What information should be collected, to whom it should be provided, how timely, and at what rate?

• Data Management

1. Innovative operation and decision-making approaches in smarts grids
2. Computational complexity and uncertainty trade-offs in smarts grids
3. Statistical techniques in analysis of cascaded failures in large interconnected systems
4. Cognition
5. Self-organization
6. Risk assessment and management

• Experimental Results of Applying the Entire 'Sense, Communicate, Compute, Control' Chain

1. Cyber-physical building energy monitoring and control
2. Demand response applications
3. Demand/supply matching
4. (Plug-in) electrical vehicles
5. Integrating renewables
6. Intra-grid application

Technical Program Committee (TPC) Members

Francois Bouffard                                            McGill University
Jiaqi Liang                                                        ABB Research
Xing Wang                                                        Alstom
Andy Sun                                                          The Georgia Institute of Technology
Ning Lu                                                             North Carolina State University
Marcelo Elizondo                                            Pacific Northwest National Laboratory
Yunhe Hou                                                       The University of Hong Kong
Qinglai Guo                                                      Tsinghua University, Beijing
Hao Zhu                                                            University of Illinois Urbana-Champaign
Damien Ernst                                                   University of Liège
Carlos Moreira                                                INESC TEC
Philippe Daguzan                                           ERDF
Romain Couillet                                              Supélec
Walid Saad                                                      University of Miami
Sebastien Grenard                                         EDF R&D,
Emanuele Ciapessoni                                   RSE
Constantinos Papadias                                 AIT
Georges Kariniotakis                                     Armines, Ecole des Mines de Paris
Vincent Mazauric                                           Schneider Electric
Bruno Prestat                                                  EPRI
Pierre Pinson                                                  DTU
Julija Vasiljevska                                           JRC
Florin Capitanescu                                        University of Luxembourg
Bob Iannucci                                                  Carnegie Mellon University
Trevor Pering                                                 Google
Catherine Huang                                           Intel
Saman A. Zonouz                                          University of Miami

Submission Guidelines

Submission deadlines and format requirements are the same for all symposia, see here.
Paper submission needs to be performed through EDAS: http://edas.info/N13823