Phase identification using statistical analysis
Abstract
A device includes at least one processor configured to determine, based on (i) a first plurality of time-varying electrical measurements corresponding to a feeder head of a power distribution network having a plurality of phases and (ii) a second plurality of time-varying electrical measurements corresponding to a node in the power distribution network, and using statistical analysis, a predicted phase, from the plurality of phases, that corresponds to the node. The processor may be configured to use ranked correlation coefficients (such as the Kendall rank correlation coefficient) to determine the predicted phase and may use principle component analysis. The processor is also configured to cause at least one device of the power distribution network to modify operation based at least on part on the predicted phase.
- Inventors:
- Issue Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1893018
- Patent Number(s):
- 11355930
- Application Number:
- 16/905,490
- Assignee:
- Alliance for Sustainable Energy, LLC (Golden, CO)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01R - MEASURING ELECTRIC VARIABLES
H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
- DOE Contract Number:
- AC36-08GO28308; CRD-17-712
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 06/18/2020
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Veda, Santosh Sambamoorthy, Dhulipala, Surya Chandan, Baggu Data Venkata Satya, Murali Mohan, and Padullaparti, Harsha Vardhana. Phase identification using statistical analysis. United States: N. p., 2022.
Web.
Veda, Santosh Sambamoorthy, Dhulipala, Surya Chandan, Baggu Data Venkata Satya, Murali Mohan, & Padullaparti, Harsha Vardhana. Phase identification using statistical analysis. United States.
Veda, Santosh Sambamoorthy, Dhulipala, Surya Chandan, Baggu Data Venkata Satya, Murali Mohan, and Padullaparti, Harsha Vardhana. Tue .
"Phase identification using statistical analysis". United States. https://www.osti.gov/servlets/purl/1893018.
@article{osti_1893018,
title = {Phase identification using statistical analysis},
author = {Veda, Santosh Sambamoorthy and Dhulipala, Surya Chandan and Baggu Data Venkata Satya, Murali Mohan and Padullaparti, Harsha Vardhana},
abstractNote = {A device includes at least one processor configured to determine, based on (i) a first plurality of time-varying electrical measurements corresponding to a feeder head of a power distribution network having a plurality of phases and (ii) a second plurality of time-varying electrical measurements corresponding to a node in the power distribution network, and using statistical analysis, a predicted phase, from the plurality of phases, that corresponds to the node. The processor may be configured to use ranked correlation coefficients (such as the Kendall rank correlation coefficient) to determine the predicted phase and may use principle component analysis. The processor is also configured to cause at least one device of the power distribution network to modify operation based at least on part on the predicted phase.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2022},
month = {6}
}
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