UT Energy Symposium: "Spatio-Temporal Learning for Enhancing the Situational Awareness of Power Grids" with Hao Zhu

The electricity delivery systems are witnessing pressing needs to transform the operational paradigms and integrate new energy resources. At the bulk interconnection scale, the decreasing level of inertia makes it high important to analyze the grid’s dynamic responses. At the local distribution level, the integration of variable distributed energy resources (DERs) is challenged by the lack of observability in residential loads. To address these problems, this talk will present spatio-temporal learning approaches that harness the high-rate, high-accuracy synchrophasor data available for monitoring power grids. First, a statistical cross-correlation approach is developed to study the propagation of oscillations in the interconnected wide-area grids. Second, a subspace learning approach is introduced to reveal the characteristics of DERs such as rooftop solar and electric vehicles at the customer side. These learning approaches can enhance the situational awareness of physical grid resources for improving the security and reliability of energy infrastructure.

Dial-In Information

Please click the Zoom link below to join the webinar: 
https://utexas.zoom.us/s/96723392808

To view the talk on YouTube, there are two options: 

The Webinar will be listed as a video thumbnail with the word “LIVE NOW” in the window. Click on that thumbnail. 

 

Tuesday, February 9, 2021 at 12:30pm to 1:30pm

Virtual Event
Event Type

Science & Tech

Target Audience

Students, Faculty, General Public

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