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Distributed controllers have a ubiquitous presence in the electric power grid and play a prominent role in its daily operation. The failure or malfunction of distributed controllers is a serious threat whose mechanisms and consequences are not currently well understood and planned against. For example, if certain controllers are maliciously compromised by an adversary, they can be manipulated to drive...
Historically, the structure of an Artificial Neural Network (ANN) has been defined through trial-and-error or excessive computation leading to reduced accuracy and increased training time, respectively. For many disciplines, especially power systems, models must both be accurate and support fast computations in order to be viable for large-scale use. These requirements often render poorly structured...
An augmented DC power flow (augDC-PF) method is proposed that achieves both speed and accuracy compared to existing linear algorithms. Many applications necessitate both but are limited by the trade-off that exists within traditional power flow methods. Speed focused algorithms such as DC power flow involve severe approximations that result in an imprecise solution. The augDC-PF method is derived...
While cyber-physical systems are widely deployed and known to be difficult to analyze due to their increasing complexity, the number of sophisticated attacks against them have been constantly growing. This necessitates semi-automated intrusion response and recovery capabilities for timely termination of ongoing attacks and effective recovery of the infrastructural normal and safe operations. In this...
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