Energy Sector

event

Visible to the public  CPSR-SG2016
Apr 12, 2016 7:00 am - 6:00 pm CEST

2016 Joint Workshop on Cyber-Physical Security and Resilience in Smart Grids (CPSR-SG2016)

at CPS week 2016

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Visible to the public CPS: Synergy: Plug-and-Play Cyber-Physical Systems to Enable Intelligent Buildings

Abstract:

Despite their importance within the energy sector, buildings have not kept pace with technological improvements and particularly the evolution of intelligent features. A primary obstacle in enabling intelligent buildings is their highly distributed and diverse nature.

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Visible to the public CPS: Synergy: High-Fidelity, Scalable, Open-Access Cyber Security Testbed for Accelerating Smart Grid Innovations & Deployments

Cybersecurity and resiliency of the power grid is of paramount importance to national security and economic well-being. CPS security testbeds are enabling technologies that provide realistic experimental platforms for the evaluation and validation of security technologies within controlled environments. In this regard, the following are the key objectives of the project:

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Visible to the public CPS: Breakthrough: Collaborative: Securing Smart Grid by Understanding Communications Infrastructure Dependencies

Overview: The existence of complex interactions and interdependencies in cyber-physical critical infrastructures is well known, but a poorly understood phenomena. As an example, a smart grid (SG) is dependent on the cyber infrastructure for advanced metering, data collection/analytics and control, and this dependency brings in serious security and vulnerability implications.

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Visible to the public WARP: Wide Area Resilient Protection

Abstract:

Protective relays play a crucial role in steering the dynamics of the electric grid during stressed system conditions. However, as some blackout logs have shown, relay mis-operations during stressed conditions can trigger a cascade eventually leading to a blackout. Currently, there is no way to correct such mis-operations, should they occur. We propose the use of wide-area information to supervise relay operation, especially those attached to generator units and critical transmission lines.

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Visible to the public Advanced peak demand forcast and battery dispatch algorithms to integrate storage-based demand response with BAS

Abstract:

Large scale applications of cyber physical systems (CPS) such as commercial buildings with Building Automation System (BAS)-based demand response (DR) can play a key role in alleviating demand peaks and associated grid stress, increased electricity unit cost, and carbon emissions. However, benefits of BAS alone are often limited because their demand peak reduction cannot be maintained long enough without unduly affecting occupant comfort.

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Visible to the public Smart Power Systems of the Future: Foundations for Understanding Volatility and Improving Operational Reliability

Abstract:

GRID 2020: The power grid in the U.S. and many regions of the world is undergoing changes because of new technologies and government mandates. It is believed that smart meters and a smarter grid will lead to more efficient use of our infrastructure. In addition, increased renewable energy integration will provide power at low cost.

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Visible to the public Achieving High-Resolution Situational Awareness in Ultra-Wide-Area Cyber-Physical Systems

Abstract:

Motivation: Energy infrastructure is a critical underpinning of modern society. To ensure its reliable operation, a nation-wide or continent-wide situational awareness system is essential to provide high-resolution understanding of the system dynamics such that proper actions can be taken in real-time in response to power system disturbances and to avoid cascading blackouts. The power grid represents a typical highly dynamic cyber-physical system (CPS).

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Visible to the public CPS: Breakthrough: Toward Revolutionary Algorithms for Cyber-Physical Systems Architecture Optimization

Abstract:

One of the challenges for the future cyber-physical systems is the exploration of large design spaces. Genetic algorithms (GAs), which embody a simplified computational model of the mutation and election mechanisms of natural evolution, are known to be effective for design optimization. However, the traditional formulations are limited to choosing values for a predetermined set of parameters within a given fixed architecture.