This project designs algorithms for the integration of plug-in hybrid electric vehicles (PEVs) into the power grid. Specifically, the project will formulate and solve 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.

The objective of this research is to create tools to manage uncertainty in the design and certification process of safety-critical aviation systems.  The research focuses on three innovative ideas to support this objective. First, probabilistic techniques will be introduced to specify system-level requirements and bound the performance of dynamical components.  These will reduce the design costs associated with complex aviation systems consisting of tightly integrated components produced by many independent engineering organizations.

The major goal of this project is to investigate ecient, economic ways to integrate renewable energy resources.

This project is focused on the fundamental research in establishing a foundational framework towards the development of an autonomous Cyber-Physical System (CPS) through distributed computation in a Networked Control Systems (NCS) paradigm. Specific attention is focused on an application where the computational, and communication challenges are unique due to the sheer dimensionality of the physical system. An example of such CPS is the smart power grid, which includes large-scale deployment of distributed and networked Phasor Measurement Units (PMUs) and wind energy resources.

We investigate the ability of a collection of deferrable energy loads to behave as a battery; that is, to absorb and release energy in a controllable fashion up to fixed and predetermined  limits on volume, charge rate and discharge rate. We derive bounds on the battery capacity that can be realized and show  that there are fundamental trade-offs between battery parameters.

The poster provides a general overview of the motivation for testbeds, and summarizes the high-level objectives of the project. Then, the poster outlines a conceptual architecture of how a layered testbed architecture could be extended to realize federated testbeds. Followed by this, the poster provides a high-level conceptual architecture of the remote access framework developed as part of the project. The poster also provides some details on the various tasks performed as part of the remote access framework.

Having a shared and accurate sense of time is critical to distributed Cyber-Physical Systems (CPS) and the Internet of Things (IoT). Thanks to decades of research in clock technologies and synchronization protocols, it is now possible to measure and synchronize time across distributed systems with unprecedented accuracy. However, applications have not benefited to the same extent due to limitations of the system services that help manage time, and hardware-OS and

The smart grid is a large-scale, societal-level hybrid cyber-physical system with tight coupling between cyber and physical components.  Ensuring availability and reliability of power requires maintaining stability of the power grid even as increasing demand and uncertain renewable power sources push the power system close to its operation limit.  In addition, the cyber-enabled grid has multiple entry points, leaving it highly susceptible to cyber attacks by malicious adversaries.

It's common in controller design to assume that the controller reads the sensors and writes to the actuators at the same time instant. This assumption is often violated in practice because the controller executes its code sequentially on a microprocessor. If the microprocessor is "fast enough," often the controller will still work. However, if the sensing and control are done by two different devices that must communicate across a network, the resulting timing uncertainty due to network delays and clock offsets will often destabilize the controller.