The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 14, 2022
Filed:
Apr. 09, 2018
Florida Power & Light Company, Juno Beach, FL (US);
Brick Rule, Port Charlotte, FL (US);
Iliana M. Rentz, Miramar, FL (US);
Timothy D. Drum, Wellington, FL (US);
William M. Dorr, Jupiter, FL (US);
Paul R. Hynes, Jupiter, FL (US);
Jeffrey D. Dubs, North Palm Beach, FL (US);
Andrew W. Kirby, Jupiter, FL (US);
Steven J. Palmieri, Plantation, FL (US);
Eduardo R. Devarona, Jupiter, FL (US);
FLORIDA POWER & LIGHT COMPANY, Juno Beach, FL (US);
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.