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Title: Network-Cognizant Design of Decentralized Volt/VAR Controllers

Abstract

This paper considers the problem of designing decentralized Volt/VAR controllers for distributed energy resources (DERs). The voltage-reactive power characteristics of individual DERs are obtained by solving a convex optimization problem, where given performance objectives (e.g., minimization of the voltage deviations from a given profile) are specified and stability constraints are enforced. The resultant Volt/VAR characteristics are network-cognizant, in the sense that they embed information on the location of the DERs and, consequently, on the effect of reactive-power adjustments on the voltages throughout the feeder. Bounds on the maximum voltage deviation incurred by the controllers are analytically established. Numerical results are reported to corroborate the technical findings.

Authors:
ORCiD logo [1];  [1]; ORCiD logo [1];  [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), NREL Laboratory Directed Research and Development (LDRD)
OSTI Identifier:
1418743
Report Number(s):
NREL/CP-5D00-67620
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference (ISGT), 23-26 April 2017, Washington, D.C.
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; distribution systems; renewable generation; voltage regulation; Volt/VAR control

Citation Formats

Baker, Kyri A, Bernstein, Andrey, Zhao, Changhong, and Dall-Anese, Emiliano. Network-Cognizant Design of Decentralized Volt/VAR Controllers. United States: N. p., 2017. Web. doi:10.1109/ISGT.2017.8086086.
Baker, Kyri A, Bernstein, Andrey, Zhao, Changhong, & Dall-Anese, Emiliano. Network-Cognizant Design of Decentralized Volt/VAR Controllers. United States. doi:10.1109/ISGT.2017.8086086.
Baker, Kyri A, Bernstein, Andrey, Zhao, Changhong, and Dall-Anese, Emiliano. Tue . "Network-Cognizant Design of Decentralized Volt/VAR Controllers". United States. doi:10.1109/ISGT.2017.8086086.
@article{osti_1418743,
title = {Network-Cognizant Design of Decentralized Volt/VAR Controllers},
author = {Baker, Kyri A and Bernstein, Andrey and Zhao, Changhong and Dall-Anese, Emiliano},
abstractNote = {This paper considers the problem of designing decentralized Volt/VAR controllers for distributed energy resources (DERs). The voltage-reactive power characteristics of individual DERs are obtained by solving a convex optimization problem, where given performance objectives (e.g., minimization of the voltage deviations from a given profile) are specified and stability constraints are enforced. The resultant Volt/VAR characteristics are network-cognizant, in the sense that they embed information on the location of the DERs and, consequently, on the effect of reactive-power adjustments on the voltages throughout the feeder. Bounds on the maximum voltage deviation incurred by the controllers are analytically established. Numerical results are reported to corroborate the technical findings.},
doi = {10.1109/ISGT.2017.8086086},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Oct 03 00:00:00 EDT 2017},
month = {Tue Oct 03 00:00:00 EDT 2017}
}

Conference:
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