New York Scientific Data Summit 2022: Data-Driven Discovery in Science and Industry

Session

Energy Transmission

20 Oct 2022, 14:25

This summit will be held as a virtual event.

Conveners

Energy Transmission

• Xie Le (Texas A&M University)
• Kiyeob Lee (Texas A&M University)

29. A Synchrophasor Data-Driven Method for Forced Oscillation Localization Under Resonance Conditions

Tong Huang (San Diego State University)

20/10/2022, 14:25

Abstract: In this talk, I will present a data-driven algorithm for locating the source of forced oscillations and suggests a physical interpretation for the method. By leveraging the sparsity of forced oscillations along with the low-rank nature of synchrophasor data, the problem of source localization under resonance conditions is cast as computing the sparse and low-rank components using...

30. Quantum Network: from lab to distant nodes

Gabriella Carini (Brookhaven National Laboratory)

20/10/2022, 14:55

Abstract: The BNL – SBU (Brookhaven National Laboratory – Stony Brook University) team has built one of the longest and most advanced quantum networks with 98 miles already operational (since 2020) and a recent expansion to 161 miles and five nodes covering Long Island from the two campuses to New York City. Additionally, some of this infrastructure has become available to the community as...

31. Unsupervised Methods for Estimating Behind-the-Meter Solar Generation and EV Charging Traces

Yue Zhao (Stony Brook University, Department of Electrical and Computer Engineering)

20/10/2022, 15:25

Abstract: With the rapidly evolving penetration of distributed solar generation and electric vehicles (EVs) in power distribution systems, a major issue that utilities face is the lack of visibility into the behaviors of these behind-the-meter (BTM) distributed energy resources (DERs). Knowing the BTM DER behaviors can greatly enhance utilities’ system planning and operation efficacy. In...

32. Online Learning and Distributed Control of Residential Demand Response

Xin Chen (Massachusetts Institute of Technology)

20/10/2022, 15:55

Abstract: With the increase in renewable energy generation and the rapid growth of peak loads, the grid is facing a serious challenge in maintaining power balance. Demand response (DR), which incentivizes end-users to adjust their loads to meet the need of power supply, is an economical and sustainable solution to mitigate this problem. For load service entities (LSEs), the main challenges...

34. Data-driven Learning and Control for Resilient Power Grids

Sivaranjani Seetharaman (Purdue University)

20/10/2022, 16:25

Abstract: Disruptive technological advances in computing, sensing and communication technologies over the last decade have opened up opportunities for smart cities where large-scale cyber-physical infrastructure networks like the power grid can be efficiently monitored, controlled and managed in real-time. However, traditional control techniques do not scale well to such large-scale...