Modernized electrical grid automated to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity.
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2018 Social Justice and Equity in the Engineering of Smart and Connected Communities Workshop Report
PI: Radha Poovendran
Professor and Chair, Dept. of Electrical and Computer Engineering University of Washington, Seattle.
Email: rp3@uw.edu
forum
2018 Social Justice and Equity in the Engineering of Smart and Connected Communities Workshop Report
PI: Radha Poovendran
Professor and Chair, Dept. of Electrical and Computer Engineering University of Washington, Seattle.
Email: rp3@uw.edu
event
1st ACM International Conference on Embedded Systems for Energy-Efficient Buildings
co-located with ACM SenSys 2014
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Dear CPS community,
The NYU Tandon school of engineering is glad to announce a search for a new cluster of tenure-track faculty in urban science and engineering -- See the announcement below.
If you are at the CPS PI meeting, and want to find out more, please come by and talk to me during the coffee break or at poster # 224.
best,
Juan
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(Apologies for cross posting, please redistribute)
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Optimal Power Flow (OPF) is a crucial part of the Energy Management System (EMS) as it determines individual generator outputs that minimize generation cost while satisfying transmission, generation, and system-level operating constraints. OPF relies on a core EMS routine, namely state estimation, which computes system states, principally bus voltages/phase angles at the buses. However, state estimation is vulnerable to false data injection attacks in which an adversary can alter certain measurements to corrupt the estimator's solution without being detected.
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Advanced metering infrastructure (AMI) is a critical part of a modern smart grid that performs the bidirectional data flow of sensitive power information such as smart metering data and control commands. The real-time monitoring and control of the grid are ensured through AMI. While smart meter data helps to improve the overall performance of the grid in terms of efficient energy management, it has also made the AMI an attractive target of cyberattackers with a goal of stealing energy.
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State estimation is very important for securely, reliably, and efficiently maintaining a power grid. If state estimation is not protected, an attacker can compromise meters or communication systems and introduce false measurements, which can evade existing Bad Data Detection (BDD) algorithms and lead to incorrect state estimation. This kind of attack is stealthy and widely known as an Undetected False Data Injection (UFDI) attack.
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Submitted by Anonymous on Mon, 01/28/2019 - 2:02pm
