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In collaboration with its partners, The UT Microgrid Team uses a vault of grid data-recordings to conduct electric power research.  The recordings include voltage, current, power factor sampled at intervals between 1 s and 15 minutes.  The grids types range from the civilian sector to the military sector:

Pecan Street

This organization is a major source of original customer energy use and behavioral research data and operates data-intensive field trials open to researchers and member companies. Pecan Street instruments homes and commercial buildings in its research trials with systems that record electricity use from the whole building and individual circuits at intervals ranging from one minute to one second.

Research Assets: Research data on consumer electricity and natural gas use.  The consumer smart grid field trials are accessible to companies interested in proprietary applications, and can access anonymous data on the utility- and customer-side of the utility meter.

Contact: Dr. Robert Hebner, 512.232.1628, r.hebner@cem.utexas.edu


University of Alaska Fairbanks

The University of Alaska Fairbanks, Nome Joint Utility Systems, and The University of Texas Center for Electromechanics (UT-CEM) research study leveraged years of recorded microgrid data.  Nome, AK is a city of ~2,000 people, relying on a microgrid powered by its local diesel power plant.  The Nome microgrid operates reliability despite severe weather conditions, abrupt wind ramp rates, and scarce fuel resources, serving thousands of citizens and its businesses daily and without service interruptions.

Research Assets:  This Research data is among the largest grid-related data assets in the county.  The data from Nome includes several years of recording in 1-sec intervals across its feeders, and in each phase.  The data includes voltage, current, power factor, generation frequency, and wind farm power output.

Contact: Dr. Robert Hebner, 512.232.1628, r.hebner@cem.utexas.edu



UT-ECE

Power Electronics Research Group:

Highly-available Power Supply through Distributed Generation Technologies: Reliability Analysis Framework Based on Operation Under Critical Conditions

The objective of this research is to understand the reliability and availability behavior of microgrids subject to extreme events. The knowledge gained during this research serves to improve microgrids planning and design. Location-dependent infrastructure vulnerabilities are analyzed. This research advances hurricanes characterization by introducing a new measure of their intensity with respect to their effect on power infrastructure and its performance at a local level. The impact of energy storage on microgrid availability and the effect of lifelines on microgrid availability are also studied.

Research Assets: The models developed in this project are validated based on conventional power grids and telecommunication outage information and infrastructure damage information during major natural disasters in the past decade worldwide obtained via field assessments in the aftermath of these extreme events.

Contact Prof. Alexis Kwasinski at akwasins@utexas.edu

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