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Title: Network-cognizant voltage droop control

Abstract

The present disclosure provides techniques for network-cognizant droop control in power systems, such as a power distribution system. An example device includes a processor configured to determine, based on (i) a model representing a structure of a power system that includes a plurality of energy resources and (ii) an indication of predicted uncontrollable power injections in the power system, for each controllable energy resource in the plurality of energy resources, a respective value of a first droop coefficient and a respective value of a second droop coefficient. The processor may be further configured to cause at least one controllable energy resource in the plurality of energy resources to modify an output power of the at least one energy resource based on the respective value of the first droop coefficient and the respective value of the second droop coefficient.

Inventors:
; ;
Issue Date:
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1735306
Patent Number(s):
10784682
Application Number:
15/892,730
Assignee:
Alliance for Sustainable Energy, LLC (Golden, CO)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Patent
Resource Relation:
Patent File Date: 02/09/2018
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats

Baker, Kyri Alysa, Bernstein, Andrey, and Dall'Anese, Emiliano. Network-cognizant voltage droop control. United States: N. p., 2020. Web.
Baker, Kyri Alysa, Bernstein, Andrey, & Dall'Anese, Emiliano. Network-cognizant voltage droop control. United States.
Baker, Kyri Alysa, Bernstein, Andrey, and Dall'Anese, Emiliano. Tue . "Network-cognizant voltage droop control". United States. https://www.osti.gov/servlets/purl/1735306.
@article{osti_1735306,
title = {Network-cognizant voltage droop control},
author = {Baker, Kyri Alysa and Bernstein, Andrey and Dall'Anese, Emiliano},
abstractNote = {The present disclosure provides techniques for network-cognizant droop control in power systems, such as a power distribution system. An example device includes a processor configured to determine, based on (i) a model representing a structure of a power system that includes a plurality of energy resources and (ii) an indication of predicted uncontrollable power injections in the power system, for each controllable energy resource in the plurality of energy resources, a respective value of a first droop coefficient and a respective value of a second droop coefficient. The processor may be further configured to cause at least one controllable energy resource in the plurality of energy resources to modify an output power of the at least one energy resource based on the respective value of the first droop coefficient and the respective value of the second droop coefficient.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {9}
}

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