Abstract: This project is motivated by the possibility of a small number of autonomous vehicles (AVs) that may soon be present on our roads, and how these vehicles will influence the traffic flow. Specifically, driver assist technologies (often referred to as Society of Automotive Engineers (SAE) level 1 AVs) are already becoming standard features on many vehicles. However, it is still unclear to what extent driver assist features such as adaptive cruise control (ACC) will influence traffic stability.

We study the problem of optimal placement of energy storage devices in a distribution network to minimize network losses. A continuous tree with power flow equations is developed to model the distribution network. We analyze structural properties of the optimal solution when all loads have the same shape. We prove that it is optimal to place storage devices near the leaves of the network away from the substation, and that the scaled storage capacity monotonically increases towards the leaves.

This poster presents a method for detecting and correcting malicious data corruptions in PMU measurements. Detection of malicious injections is formulated as a compressed sensing problem and the actual signals are recovered using an online robust PCA-based algorithm. Different patterns of malicious injection attacks on PMU data are considered and the effect of corruption and reconstruction using the algorithm is analyzed on wide-area mode metering application. The performance of the proposed algorithm has been evaluated with different subspace selection.

Good algorithmic foundations for flight planning on the scale required for managing dense urban drone traffic we can expect to see in the future are currently still missing. This project provides prototype algorithms for managing this dense drone traffic. The project develops a concept for a coordination system that is able to find collision-free paths for a large number of flying unmanned air vehicles of different size and capability. It uses a hierarchical approach, combining centralized and local coordination, to manage complexity for a largescale problem.