Method and system employing finite state machine modeling to identify one of a plurality of different electric load types
Abstract
A system is for a plurality of different electric load types. The system includes a plurality of sensors structured to sense a voltage signal and a current signal for each of the different electric loads; and a processor. The processor acquires a voltage and current waveform from the sensors for a corresponding one of the different electric load types; calculates a power or current RMS profile of the waveform; quantizes the power or current RMS profile into a set of quantized state-values; evaluates a state-duration for each of the quantized state-values; evaluates a plurality of state-types based on the power or current RMS profile and the quantized state-values; generates a state-sequence that describes a corresponding finite state machine model of a generalized load start-up or transient profile for the corresponding electric load type; and identifies the corresponding electric load type.
- Inventors:
- Issue Date:
- Research Org.:
- EATON CORPORATION, Cleveland, OH (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1288657
- Patent Number(s):
- 9410996
- Application Number:
- 13/908,263
- Assignee:
- EATON CORPORATION (Cleveland, OH)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01D - MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y04 - INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS Y04S - SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- DOE Contract Number:
- EE0003911
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2013 Jun 03
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 42 ENGINEERING
Citation Formats
Du, Liang, Yang, Yi, Harley, Ronald Gordon, Habetler, Thomas G., and He, Dawei. Method and system employing finite state machine modeling to identify one of a plurality of different electric load types. United States: N. p., 2016.
Web.
Du, Liang, Yang, Yi, Harley, Ronald Gordon, Habetler, Thomas G., & He, Dawei. Method and system employing finite state machine modeling to identify one of a plurality of different electric load types. United States.
Du, Liang, Yang, Yi, Harley, Ronald Gordon, Habetler, Thomas G., and He, Dawei. Tue .
"Method and system employing finite state machine modeling to identify one of a plurality of different electric load types". United States. https://www.osti.gov/servlets/purl/1288657.
@article{osti_1288657,
title = {Method and system employing finite state machine modeling to identify one of a plurality of different electric load types},
author = {Du, Liang and Yang, Yi and Harley, Ronald Gordon and Habetler, Thomas G. and He, Dawei},
abstractNote = {A system is for a plurality of different electric load types. The system includes a plurality of sensors structured to sense a voltage signal and a current signal for each of the different electric loads; and a processor. The processor acquires a voltage and current waveform from the sensors for a corresponding one of the different electric load types; calculates a power or current RMS profile of the waveform; quantizes the power or current RMS profile into a set of quantized state-values; evaluates a state-duration for each of the quantized state-values; evaluates a plurality of state-types based on the power or current RMS profile and the quantized state-values; generates a state-sequence that describes a corresponding finite state machine model of a generalized load start-up or transient profile for the corresponding electric load type; and identifies the corresponding electric load type.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {8}
}
Works referenced in this record:
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A review of identification and monitoring methods for electric loads in commercial and residential buildings
conference, September 2010
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