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    Florida Power & Light Assigned Patent for Ensemble Forecast Storm Damage Response System for Critical Infrastructure


    June 15, 2022 - Targeted News Service

     

      ALEXANDRIA, Va., June 15 -- Florida Power and Light, Juno Beach, Florida, has been assigned a patent (No. 11,361,236, initially filed April 9, 2018) developed by nine co-inventors for "ensemble forecast storm damage response system for critical infrastructure." The co-inventors are Brick Rule, Port Charlotte, Florida, Iliana M. Rentz, Miramar, Florida, Timothy D. Drum, Wellington, Florida, William M.Dorr, Jupiter, Florida, Paul R. Hynes, Jupiter, Florida, Jeffrey D. Dubs, North Palm Beach, Florida, Andrew W. Kirby, Jupiter, Florida, Steven J. Palmieri, Plantation, Florida, and Eduardo R. Devarona, Jupiter, Florida.

      The full-text of the patent can be found at https://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=11,361,236.PN.&OS=PN/11,361,236&RS=PN/11,361,236

      The abstract states: "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."

      Written by Jayanti Behera; edited by Biyat Pragnya Rout.

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