Patents by Inventor Andrew W. Kirby

Andrew W. Kirby has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11467213
    Abstract: A defect detector can receives voltage data characterizing a three-phase voltage for each of a plurality of feeder lines. The defect detector generates an alert indicating that a potential defect exists at a switch upstream of the plurality of feeder lines in response to the voltage data indicating (i) a drop in two or more phases of voltage at a given feeder line of the plurality of feeder lines occurred within a predetermined amount of time of toggling of the switch or (ii) a drop in two or more phases of voltage on at least two or more feeder lines of the plurality of feeder lines has occurred.
    Type: Grant
    Filed: February 3, 2020
    Date of Patent: October 11, 2022
    Assignee: FLORIDA POWER & LIGHT COMPANY
    Inventors: Robert A. Baker, Nerva Kenol, Andrew W. Kirby, Jacob Benator, Michelet Orange, Clive K C Leung, Charles E. Orr, Justin D Klocman, Benny P. Pazhayattil
  • Patent number: 11361236
    Abstract: A storm damage response system includes a storm ensemble database that stores ensemble forecast models associated with respective potential storm paths of a given storm across a geographic area and an equipment database that stores equipment data associated with location and characteristics of power-providing equipment in the geographic area. A storm damage model algorithm generates a storm response plan comprising an operational procedure for repairing or maintaining power transmission and distribution electric systems to mitigate storm damage impact based on generating a probabilistic model for each of the ensemble forecast models based on the equipment data and calculating a statistical impact value associated with the probabilistic model based on an aggregate of iterative probabilistic simulations for the respective ensemble forecast model. The storm response plan can be generated based on the relative statistical impact value of the probabilistic model of each of the ensemble forecast models.
    Type: Grant
    Filed: April 9, 2018
    Date of Patent: June 14, 2022
    Assignee: FLORIDA POWER & LIGHT COMPANY
    Inventors: Brick Rule, Iliana M. Rentz, Timothy D. Drum, William M. Dorr, Paul R. Hynes, Jeffrey D. Dubs, Andrew W. Kirby, Steven J. Palmieri, Eduardo R. Devarona
  • Publication number: 20210239760
    Abstract: A defect detector can receives voltage data characterizing a three-phase voltage for each of a plurality of feeder lines. The defect detector generates an alert indicating that a potential defect exists at a switch upstream of the plurality of feeder lines in response to the voltage data indicating (i) a drop in two or more phases of voltage at a given feeder line of the plurality of feeder lines occurred within a predetermined amount of time of toggling of the switch or (ii) a drop in two or more phases of voltage on at least two or more feeder lines of the plurality of feeder lines has occurred.
    Type: Application
    Filed: February 3, 2020
    Publication date: August 5, 2021
    Inventors: Robert A. Baker, Nerva Kenol, Andrew W. Kirby, Jacob Benator, Michelet Orange, Clive KC Leung, Charles E. Orr, Justin D Klocman, Benny P. Pazhayattil
  • Publication number: 20190311280
    Abstract: A storm damage response system includes a storm ensemble database that stores ensemble forecast models associated with respective potential storm paths of a given storm across a geographic area and an inventory database that stores inventory data associated with location and characteristics of power-providing equipment and characteristics of a consumer population in the geographic area. A storm damage model algorithm generates a storm response plan comprising an operational procedure for repairing or maintaining power transmission and distribution electric systems to mitigate storm damage impact based on generating a probabilistic model for each of the ensemble forecast models based on the inventory data and calculating a statistical impact value associated with the probabilistic model based on an aggregate of iterative probabilistic simulations for the respective ensemble forecast model.
    Type: Application
    Filed: April 9, 2018
    Publication date: October 10, 2019
    Inventors: Brick Rule, Iliana M. Rentz, Timothy D. Drum, William M. Dorr, Paul R. Hynes, Jeffrey D. Dubs, Andrew W. Kirby, Steven J. Palmieri, Eduardo R. Devarona