Distribution Synchrophasors and the Power of Big Data

Date(s):

Location:
Booker Conference Room #2512, Jacobs School of Engineering, 9500 Gilman Dr, La Jolla, San Diego, California 92093

Sponsored By:
Truong Nguyen

Speaker(s):
Dr. Hamed Mohsenian-Rad
Dr. Hamed Mohsenian-Rad

Abstract:

Synchrophasor measurements have recently offered an unprecedented level of visibility in power distribution infrastructure. These are GPS-time-referenced single-phase or three-phase voltage and current phasor measurements on medium and low voltage distribution circuits, at two or more readings per AC cycle. Distribution synchrophasor data is a prominent example of "Big Data" in power systems. However, data availability is only a necessary but not a sufficient step to build an enhanced operational intelligence that is required by the future distribution grid. Data must be furnished with useful analytics to translate said data into actionable information. In this talk, we explore some of the opportunities to leverage distribution synchrophasor data, combined with data-driven analytics, in order to help electrical distribution system planners and operators to get out in front of problems as they evolve.


Speaker Bio:
Synchrophasor measurements have recently offered an unprecedented level of visibility in power distribution infrastructure. These are GPS-time-referenced single-phase or three-phase voltage and current phasor measurements on medium and low voltage distribution circuits, at two or more readings per AC cycle. Distribution synchrophasor data is a prominent example of "Big Data" in power systems. However, data availability is only a necessary but not a sufficient step to build an enhanced operational intelligence that is required by the future distribution grid. Data must be furnished with useful analytics to translate said data into actionable information. In this talk, we explore some of the opportunities to leverage distribution synchrophasor data, combined with data-driven analytics, in order to help electrical distribution system planners and operators to get out in front of problems as they evolve.

Contact:
Travis Spackman
TSpackman@ucsd.edu