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Title: Power system load flexibility forecasting

Abstract

The example embodiments are directed to a system and method for forecasting load flexibility of a power grid. In one example, the method includes receiving temperature values associated with temperature set points of a plurality of loads that are included on a power grid, forecasting a flexibility of the plurality of loads using a polynomial-time mixed-integer non-linear programming (MINLP) optimization based on the received temperature values for the plurality of loads, and outputting information about the forecasted flexibility for display to a display device. The MINLP optimization performs the forecasting of the load flexibility on a fine-grained basis in comparison to conventional methods and is still fast enough that it can be computed in real-time.

Inventors:
; ; ; ;
Issue Date:
Research Org.:
Savant Technologies LLC, East Cleveland, OH (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1893096
Patent Number(s):
11374409
Application Number:
15/477,696
Assignee:
Savant Technologies LLC (East Cleveland, OH)
Patent Classifications (CPCs):
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
DOE Contract Number:  
AR0000698
Resource Type:
Patent
Resource Relation:
Patent File Date: 04/03/2017
Country of Publication:
United States
Language:
English

Citation Formats

Genc, Sahika, Aravind, Deepak, Pan, Yan, Acharya, Naresh, and Baone, Chaitanya Ashok. Power system load flexibility forecasting. United States: N. p., 2022. Web.
Genc, Sahika, Aravind, Deepak, Pan, Yan, Acharya, Naresh, & Baone, Chaitanya Ashok. Power system load flexibility forecasting. United States.
Genc, Sahika, Aravind, Deepak, Pan, Yan, Acharya, Naresh, and Baone, Chaitanya Ashok. Tue . "Power system load flexibility forecasting". United States. https://www.osti.gov/servlets/purl/1893096.
@article{osti_1893096,
title = {Power system load flexibility forecasting},
author = {Genc, Sahika and Aravind, Deepak and Pan, Yan and Acharya, Naresh and Baone, Chaitanya Ashok},
abstractNote = {The example embodiments are directed to a system and method for forecasting load flexibility of a power grid. In one example, the method includes receiving temperature values associated with temperature set points of a plurality of loads that are included on a power grid, forecasting a flexibility of the plurality of loads using a polynomial-time mixed-integer non-linear programming (MINLP) optimization based on the received temperature values for the plurality of loads, and outputting information about the forecasted flexibility for display to a display device. The MINLP optimization performs the forecasting of the load flexibility on a fine-grained basis in comparison to conventional methods and is still fast enough that it can be computed in real-time.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2022},
month = {6}
}

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