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 Lab. (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):
-
H - ELECTRICITY H02 - GENERATION H02J - CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER
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:
- AC36-08GO28308
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 02/09/2018
- Country of Publication:
- United States
- Language:
- English
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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