Network-Cognizant Design of Decentralized Volt/VAR Controllers

Kyri Baker; Andrey Bernstein; Emiliano Dall-Anese; Changhong Zhao

doi:10.1109/ISGT.2017.8086086

Network-Cognizant Design of Decentralized Volt/VAR Controllers

Kyri Baker, Andrey Bernstein, Emiliano Dall-Anese, Changhong Zhao

Power Systems Engineering

Research output: Contribution to conference › Paper › peer-review

6 Scopus Citations

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.

Original language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/ISGT.2017.8086086 https://doi.org/10.1109/ISGT.2017.8086086
State	Published - 26 Oct 2017
Event	2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 - Washington, United States Duration: 23 Apr 2017 → 26 Apr 2017

Conference

Conference	2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017
Country/Territory	United States
City	Washington
Period	23/04/17 → 26/04/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

NREL Publication Number

NREL/CP-5D00-67620

Keywords

Distribution systems
Renewable generation
Volt/VAR control
Voltage regulation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

Cite this

@conference{d61e4242050d4ec5a876d3d68c64d88e,

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.",

keywords = "Distribution systems, Renewable generation, Volt/VAR control, Voltage regulation",

author = "Kyri Baker and Andrey Bernstein and Emiliano Dall-Anese and Changhong Zhao",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017 ; Conference date: 23-04-2017 Through 26-04-2017",

year = "2017",

month = oct,

day = "26",

doi = "10.1109/ISGT.2017.8086086",

language = "American English",

}

TY - CONF

T1 - Network-Cognizant Design of Decentralized Volt/VAR Controllers

AU - Baker, Kyri

AU - Bernstein, Andrey

AU - Dall-Anese, Emiliano

AU - Zhao, Changhong

PY - 2017/10/26

Y1 - 2017/10/26

N2 - 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.

AB - 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.

KW - Distribution systems

KW - Renewable generation

KW - Volt/VAR control

KW - Voltage regulation

UR - http://www.scopus.com/inward/record.url?scp=85040197570&partnerID=8YFLogxK

U2 - 10.1109/ISGT.2017.8086086

DO - 10.1109/ISGT.2017.8086086

M3 - Paper

AN - SCOPUS:85040197570

T2 - 2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017

Y2 - 23 April 2017 through 26 April 2017

ER -

Network-Cognizant Design of Decentralized Volt/VAR Controllers

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this