公开(公告)号：US10180466B2

公开(公告)日：2019-01-15

申请号：US15413547

申请日：2017-01-24

Applicant: Southern Company

Inventor： Robert D. King ,  Joshua Ashcraft ,  Jamie R. Meaders ,  Tommy Jamison, Jr. ,  Ravikanth C. Paruchuri ,  Wesley M. Granade ,  Mitch A. Cason ,  Derl W. Rhoades ,  Brandon Lundy

IPC: G01R31/40 ,  G01R19/04

Abstract: An exemplary embodiment of the present invention provides a method for determining root causes of issues in an electrical grid. The method includes receiving local data from each of a plurality of meters. The local data may be indicative of voltage levels measured by the plurality of meters. The method also includes identifying abnormalities in the received local data. An abnormality is indicated by local data indicative of a voltage level that is outside of a predetermined range of acceptable levels. The method further includes associating each of the identified abnormalities with a respective meter and a geographic location of the respective meter and analyzing each of the identified abnormalities according to a predetermined set of evaluation factors to determine a root cause.

公开(公告)号：US20180210038A1

公开(公告)日：2018-07-26

申请号：US15413547

申请日：2017-01-24

Applicant: Southern Company

Inventor： Robert D. King ,  Joshua Ashcraft ,  Jamie R. Meaders ,  Tommy Jamison, Jr. ,  Ravikanth C. Paruchuri ,  Wesley M. Granade ,  Mitch A. Cason ,  Derl W. Rhoades ,  Brandon Lundy

IPC: G01R31/40 ,  G01R19/04

CPC classification number: G01R31/40 ,  G01R19/04 ,  G01R31/088 ,  G06Q50/06 ,  H02J13/00

Abstract: An exemplary embodiment of the present invention provides a method for determining root causes of issues in an electrical grid. The method includes receiving local data from each of a plurality of meters. The local data may be indicative of voltage levels measured by the plurality of meters. The method also includes identifying abnormalities in the received local data. An abnormality is indicated by local data indicative of a voltage level that is outside of a predetermined range of acceptable levels. The method further includes associating each of the identified abnormalities with a respective meter and a geographic location of the respective meter and analyzing each of the identified abnormalities according to a predetermined set of evaluation factors to determine a root cause.