Energy Sector

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Visible to the public Architectural and Algorithmic Solutions for Large-Scale PEV Integration into Power Grids

Submitted by Vijay Gupta on Mon, 10/28/2013 - 4:26pm. Contributors:

Abstract:

Electrification of the transportation market offers revenue growth for utility companies and automobile manufacturers, lower operational costs for consumers, and benefits to the environment. However, even moderate penetration of PEVs will stress the power grid. This project formulates and solves optimization problems critical to various entities in the PEV ecosystem -- PEV owners, commercial charging station owners, aggregators, and distribution companies -- at the distribution / retail level.

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Visible to the public CEEMS – Cyber Enabled Energy Management of Structures

Submitted by Tyrone Vincent on Mon, 10/28/2013 - 3:52pm. Contributors:

Abstract:

This project focuses on modern buildings as a natural expression of a cyber--physical system, with many features that are typical to such systems. Modern buildings exhibit a tight integration of sensing, computation, and actuation within multiple physical domains. For example, larger buildings usually contain a sensor network, with a variety of sensors that measure power flow, temperature, relative humidity, carbon monoxide and carbon dioxide.

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Visible to the public SMARTER -Smart Manager for Adaptive and Real-Time decisions in building clustERs

Submitted by Tong Wu on Mon, 10/28/2013 - 3:36pm. Contributors:

Abstract:

Traditionally, buildings have been viewed as mere energy consumers; however, with the new power grid infrastructure and distributed energy resources, buildings can not only consume energy, but they can also output energy. As a result, this project removes traditional boundaries between buildings in the same cluster or between the cluster and power grids, transforming individual smart buildings into NetZero building clusters enabled by cyber-support tools.

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Visible to the public Boolean Microgrid

Submitted by mazumder on Mon, 10/28/2013 - 2:37pm. Contributors:

Abstract:

The Boolean Microgrid (BM) emulates the Internet by supplying discrete power and discrete data over a network link that follows Boolean logic and is not continuous as in a conventional 60-Hz-ac or dc microgrid. BM is thus a highly integrated cyber-physical system (CPS) that features the convergence of control, communication and the physical plant.

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Visible to the public Preserving Confidentiality of Sensitive Information in Power System Models

Submitted by parmesh on Fri, 10/25/2013 - 11:20am. Contributors:

Abstract:

The electric power grid is a critical national infrastructure that is increasing vulnerable to malicious physical and cyber attacks. To alleviate the likelihood such attacks, national security policy severely restricts the disclosure of sensitive information such as grid topology and operational parameters. In addition, there is also a critical need to foster cooperation among the growing number of participants in a microgrid-enabled electric marketplace.

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

Submitted by dahleh on Fri, 10/25/2013 - 10:27am. Contributors:

Abstract:

This project addresses architectural considerations in the design and operation of future power grids. This includes the consideration of sophisticated sensing, communication, and actuation capabilities on the system's reliability, price volatility, and economic and environmental efficiency.

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Visible to the public The Open-Source TEXPLORE Code Release for Reinforcement Learning on Robots

Submitted by Matteo Leonetti on Fri, 10/25/2013 - 9:59am. Contributors:

Abstract:

Reinforcement Learning (RL) is a paradigm for learning decision- making tasks that could enable cyber-physical systems (CPS) to learn and adapt to situations on-line. For an RL algorithm to be practical for CPS control tasks, it must learn in very few samples, while continually taking actions in real-time. In addition, the algorithm must learn effi- ciently in the face of noise, sensor/actuator delays and continuous state features. We describe TEXPLORE, a model-based RL method that ad- dresses these issues.