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}
}
Works referenced in this record:
Evaluation of multiple inverter volt-VAR control interactions with realistic grid impedances
conference, July 2015
- Chakraborty, Sudipta; Hoke, Anderson; Lundstrom, Blake
- 2015 IEEE Power & Energy Society General Meeting
Robust reactive power optimisation and voltage control method for active distribution networks via dual timeāscale coordination
journal, March 2017
- Zheng, Weiye; Wu, Wenchuan; Zhang, Boming
- IET Generation, Transmission & Distribution, Vol. 11, Issue 6
Scalable Optimization Methods for Distribution Networks With High PV Integration
journal, July 2016
- Guggilam, Swaroop S.; Dall'Anese, Emiliano; Chen, Yu Christine
- IEEE Transactions on Smart Grid, Vol. 7, Issue 4
A robust algorithm for Volt/Var control
conference, March 2009
- Saric, Andrija T.; Stankovic, Aleksandar M.
- 2009 IEEE/PES Power Systems Conference and Exposition (PSCE)
Hierarchical Robust Model Predictive Voltage and Var Control with Coordination and Optimization of Autonomous Der Voltage Control
patent-application, May 2017
- Feng, Xiaoming; Kang, Ning
- US Patent Application 15/346880; 20170133849
Automatic Power Generation Control in Micro-Grids
patent-application, March 2017
- Sun, Hongbo; Wang, Zhao
- US Patent Application 14/853252; 20170077700
Evaluation of requirements for Volt/Var control and optimization function in distribution management systems
conference, September 2012
- Rahimi, S.; Marinelli, M.; Silvestro, F.
- 2012 IEEE International Energy Conference (ENERGYCON 2012), 2012 IEEE International Energy Conference and Exhibition (ENERGYCON)
Fast Local Voltage Control Under Limited Reactive Power: Optimality and Stability Analysis
journal, September 2016
- Zhu, Hao; Liu, Hao Jan
- IEEE Transactions on Power Systems, Vol. 31, Issue 5
DC Voltage Droop Control Design for Multiterminal HVDC Systems Considering AC and DC Grid Dynamics
journal, April 2016
- Prieto-Araujo, Eduardo; Egea-Alvarez, Agusti; Fekriasl, Sajjad
- IEEE Transactions on Power Delivery, Vol. 31, Issue 2
Local voltage control in distribution networks: A game-theoretic perspective
conference, September 2016
- Zhou, Xinyang; Tian, Jie; Chen, Lijun
- 2016 North American Power Symposium (NAPS)
Control System for Microgrids for the Production and Distribution of Electric Power Coming from Multiple Production Sources of Different Types, and Control Method Thereof
patent-application, November 2019
- Marchegiani, Gabriele; Frosio, Luisaa; Rosati, DAniele
- US Patent Application 16/474580; 20190341781
MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education
journal, February 2011
- Zimmerman, Ray Daniel; Murillo-Sanchez, Carlos Edmundo; Thomas, Robert John
- IEEE Transactions on Power Systems, Vol. 26, Issue 1