Network-Cognizant Voltage Droop Control for Distribution Grids

Baker, Kyri; Bernstein, Andrey; Dall'Anese, Emiliano; Zhao, Changhong

doi:10.1109/TPWRS.2017.2735379

Title: Network-Cognizant Voltage Droop Control for Distribution Grids

Abstract

Our paper examines distribution systems with a high integration of distributed energy resources (DERs) and addresses the design of local control methods for real-time voltage regulation. Particularly, the paper focuses on proportional control strategies where the active and reactive output-powers of DERs are adjusted in response to (and proportionally to) local changes in voltage levels. The design of the voltage-active power and voltage-reactive power characteristics leverages suitable linear approximation of the AC power-flow equations and is network-cognizant; that is, the coefficients of the controllers embed information on the location of the DERs and forecasted non-controllable loads/injections and, consequently, on the effect of DER power adjustments on the overall voltage profile. We pursued a robust approach to cope with uncertainty in the forecasted non-controllable loads/power injections. Stability of the proposed local controllers is analytically assessed and numerically corroborated.

Authors:

Baker, Kyri ^[1]; Bernstein, Andrey ^[2]; Dall'Anese, Emiliano ^[2]; Zhao, Changhong ^[2]

Univ. of Colorado, Boulder, CO (United States). College of Engineering and Applied Science
National Renewable Energy Lab. (NREL), Golden, CO (United States)

Publication Date:: Mon Aug 07 00:00:00 EDT 2017

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Electricity (OE)

OSTI Identifier:: 1399351

Report Number(s):: NREL/JA-5D00-67753
Journal ID: ISSN 0885-8950

Grant/Contract Number:: AC36-08GO28308; AC02-05CH11231

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Power Systems

Additional Journal Information:: Journal Volume: 33; Journal Issue: 2; Journal ID: ISSN 0885-8950

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION; volt/VAR; voltage regulation; distribution grids; inverters

Citation Formats


                    Baker, Kyri, Bernstein, Andrey, Dall'Anese, Emiliano, and Zhao, Changhong. Network-Cognizant Voltage Droop Control for Distribution Grids.  United States: N. p., 2017. 
Web.  doi:10.1109/TPWRS.2017.2735379.

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                    Baker, Kyri, Bernstein, Andrey, Dall'Anese, Emiliano, & Zhao, Changhong. Network-Cognizant Voltage Droop Control for Distribution Grids.  United States.  https://doi.org/10.1109/TPWRS.2017.2735379

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                    Baker, Kyri, Bernstein, Andrey, Dall'Anese, Emiliano, and Zhao, Changhong. Mon .  
"Network-Cognizant Voltage Droop Control for Distribution Grids".  United States.  https://doi.org/10.1109/TPWRS.2017.2735379.  https://www.osti.gov/servlets/purl/1399351.

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@article{osti_1399351,

  title        = {Network-Cognizant Voltage Droop Control for Distribution Grids},

  author       = {Baker, Kyri and Bernstein, Andrey and Dall'Anese, Emiliano and Zhao, Changhong},

  abstractNote = {Our paper examines distribution systems with a high integration of distributed energy resources (DERs) and addresses the design of local control methods for real-time voltage regulation. Particularly, the paper focuses on proportional control strategies where the active and reactive output-powers of DERs are adjusted in response to (and proportionally to) local changes in voltage levels. The design of the voltage-active power and voltage-reactive power characteristics leverages suitable linear approximation of the AC power-flow equations and is network-cognizant; that is, the coefficients of the controllers embed information on the location of the DERs and forecasted non-controllable loads/injections and, consequently, on the effect of DER power adjustments on the overall voltage profile. We pursued a robust approach to cope with uncertainty in the forecasted non-controllable loads/power injections. Stability of the proposed local controllers is analytically assessed and numerically corroborated.},

  doi          = {10.1109/TPWRS.2017.2735379},

  journal      = {IEEE Transactions on Power Systems},

  number       = 2,

  volume       = 33,

  place        = {United States},

  year         = {Mon Aug 07 00:00:00 EDT 2017},

  month        = {Mon Aug 07 00:00:00 EDT 2017}

}

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Works referencing / citing this record:

Stochastic Optimization of PQ Powers at the Interface between Distribution and Transmission Grids
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Title: Network-Cognizant Voltage Droop Control for Distribution Grids

Abstract

Citation Formats

Stochastic Optimization of PQ Powers at the Interface between Distribution and Transmission Grids journal, October 2019

Stochastic Optimization of PQ Powers at the Interface between Distribution and Transmission Grids
journal, October 2019