2012 - IEEE SmartGridComm Symposium on The Whole Picture - Sense, Communicate, Compute, Control

Modernization of the electrical power grid involves widespread sensing to gather 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
Reference architecture
Public vs. private networks
Fault tolerant and self-healing design
Networked Control Systems in Smart Grids: Theory, Application, and Practical Issues
Central and distributed control under communication constraints
Stochastic control and optimization for a probabilistic framework for transmission and distribution system operation
Distributed control and optimization for control and coordination within and across microgrids
Low complexity control and communication for energy efficient building operation and management
Distributed sensing, communication, and control for prediction and prevention of cascade failures
Data Requirements
Data standards
Value of Information: What information should be collected, to whom it should be provided, how timely, and at what rate?
Data Management
Smart operation and decision-making
Computational complexity and uncertainty trade-offs in smarts grids
Statistical techniques in analysis of cascaded failures in large interconnected systems
Cognition
Self-organization
Risk assessment and management
Experimental Results of Applying the Entire 'Sense, Communicate, Compute, Control' Chain
Demand response applications
Demand/supply matching
(Plug-in) electrical vehicles
Integrating renewables
Intra-grid applications