DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: System and method to characterize and identify operating modes of electric loads

Abstract

A system characterizes and identifies one of a plurality of different operating modes of a number of electric loads. The system includes a processor; a voltage sensor providing a voltage signal for one of the electric loads to the processor; a current sensor providing a current signal for the one electric load to the processor; and a routine executed by the processor and structured to characterize the different operating modes using steady state and voltage-current trajectory features determined from the voltage and current signals, and to identify a particular one of the different operating modes based on a plurality of operating mode membership functions of the steady state and voltage-current trajectory features.

Inventors:
; ;
Issue Date:
Research Org.:
Eaton Intelligent Power Ltd., Dublin (Ireland)
Sponsoring Org.:
USDOE
OSTI Identifier:
1771641
Patent Number(s):
10837989
Application Number:
16/728,768
Assignee:
Eaton Intelligent Power Limited (Dublin, IE)
Patent Classifications (CPCs):
G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
DOE Contract Number:  
EE0003911
Resource Type:
Patent
Resource Relation:
Patent File Date: 12/27/2019
Country of Publication:
United States
Language:
English

Citation Formats

Yang, Yi, Madane, Mayura Arun, and Zambare, Prachi Suresh. System and method to characterize and identify operating modes of electric loads. United States: N. p., 2020. Web.
Yang, Yi, Madane, Mayura Arun, & Zambare, Prachi Suresh. System and method to characterize and identify operating modes of electric loads. United States.
Yang, Yi, Madane, Mayura Arun, and Zambare, Prachi Suresh. Tue . "System and method to characterize and identify operating modes of electric loads". United States. https://www.osti.gov/servlets/purl/1771641.
@article{osti_1771641,
title = {System and method to characterize and identify operating modes of electric loads},
author = {Yang, Yi and Madane, Mayura Arun and Zambare, Prachi Suresh},
abstractNote = {A system characterizes and identifies one of a plurality of different operating modes of a number of electric loads. The system includes a processor; a voltage sensor providing a voltage signal for one of the electric loads to the processor; a current sensor providing a current signal for the one electric load to the processor; and a routine executed by the processor and structured to characterize the different operating modes using steady state and voltage-current trajectory features determined from the voltage and current signals, and to identify a particular one of the different operating modes based on a plurality of operating mode membership functions of the steady state and voltage-current trajectory features.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {11}
}

Works referenced in this record:

Nonintrusive load disaggregation computer program to estimate the energy consumption of major end uses in residential buildings
journal, September 2000


Classification, Filtering, and Identification of Electrical Customer Load Patterns Through the Use of Self-Organizing Maps
journal, November 2006


A Novel Method to Construct Taxonomy Electrical Appliances Based on Load Signaturesof
journal, January 2007


Power signature analysis
journal, March 2003


Self-organizing classification and identification of miscellaneous electric loads
conference, July 2012

  • Du, L.; He, D.; Yang, Y.
  • 2012 IEEE Power & Energy Society General Meeting. New Energy Horizons - Opportunities and Challenges, 2012 IEEE Power and Energy Society General Meeting
  • https://doi.org/10.1109/PESGM.2012.6343927

Arc fault circuit interrupter
patent, April 2008


Perceptive system including a neural network
patent, November 1998


Nonintrusive appliance load monitoring
journal, January 1992


Transient event detector for use in nonintrusive load monitoring systems
patent, January 1996


Multiprocessing transient event detector for use in a nonintrusive electrical load monitoring system
patent, February 1998


Design a Neural Network for Features Selection in Non-intrusive Monitoring of Industrial Electrical Loads
conference, April 2007


PSO & neural-network based signature recognition for harmonic source identification
conference, November 2009


Load Signature Study—Part I: Basic Concept, Structure, and Methodology
journal, April 2010


Device for preventive detection of faults with identification of the type of load
patent, June 2000


Nonintrusive monitoring of electric loads
journal, January 1999


Neural-Network-Based Signature Recognition for Harmonic Source Identification
journal, January 2006


Non-intrusive appliance monitor apparatus
patent, August 1989


Nonintrusive Load Monitoring and Diagnostics in Power Systems
journal, July 2008


Automatic electric load identification in self-configuring microgrids
conference, September 2009


Artificial neural networks in measurements
journal, March 1998


An Empirical Investigation of V-I Trajectory Based Load Signatures for Non-Intrusive Load Monitoring
journal, March 2014


Using appliance signatures for monitoring residential loads at meter panel level
journal, January 1991


A review of identification and monitoring methods for electric loads in commercial and residential buildings
conference, September 2010


Arc fault circuit interrupter for a compressor load
patent, September 2007


Nonintrusive appliance load monitoring: Review and outlook
journal, February 2011