Florida Power & Light Company

David L Herlong, Ii

Eric Davis Schwartz

Ronald A Capute

Andres Gomez

Giovanni Herazo

Carmen J Seppy

Alexandra J Hayes

Michael A Gonzalez

Prashant R Kansakar

Lakshmi R Penmetsa

Bryan J Olnick

Peter Maciej Kowalow

Kirk C Suscella, Jr

A system and method for adjusting estimated number of customers affected by an electrical power distribution network incident. Incident reports indicating a number of affected customers and an incident definition for incidents occurring over an accumulation time are accumulated, where each incident report. For each incident report, a signature is determined based on characterizing respective incidents and includes respective characteristics of the incidents associated with each incident report. A subject incident report is received subsequent to the accumulation time. A signature is determined for the subject incident report. Similar incident reports that have signatures similar to the subject incident are identified. A composite estimated number of affected customers for the subject incident is determined based on the associated numbers of affected customers for each similar incident report. An initial estimate of customers affected by the subject incident is adjusted based on the composite estimated number of affected customers.

Proactive power outage impact adjustments via machine learning

Systems and methods to combine line fault location probabilities. A first and second location probability distribution are received for a location of an line fault along an electrical line based upon at least electrical current measurements reported by a first electrical current monitor at a first location and at least a second electrical current measurements reported by a second electrical current monitor at a second location. The second electrical current measurements being made within a time interval of the first electrical current measurements. A composite location probability distribution is determined for the location of the line fault along the electrical line based on an algorithm processing the first location probability distribution and the second location probability distribution. The composite location probability distribution is provided.

Composite fault mapping

Systems and methods to provide composite fault maps. A first event report is received from a system indicating a first set of location probability distributions of a first event. A second event report is received from a second system that is a different type than the first system indicating a second set of location probability distributions of a second event that is different from the first event. Based upon data in the received reports, the first event is determined to be associated with the second event. A composite fault map is determined that includes composite location likelihood values for the first event and the second event, the composite fault map being determined based on assembling the first set of location probability distributions and the second set of location probability distributions. The the composite fault map is provided to a different process.

Identifying and presenting related electrical power distribution system events

Systems and methods to determine events that are associated with one another. Reports of a first, second, and third events are received. Based upon data associated with the first and second event, a determination is made that the first event is associated with the second event. Based upon data associated with the first event and the third event, a determination is made that the first event is not associated with the third event. A presentation is created indicating that the first and second events are related to the second event and that the first and third events are not related. The presentation is presented to a different process.

Growing community of inventors

Juno Beach, FL, United States of America

David L Herlong, Ii