DERMS Online: A New Voltage Sensitivity-Enabled Feedback Optimization Framework

Yiyun Yao; Ketian Ye; Junbo Zhao; Fei Ding; Julieta Giraldez

doi:10.1109/ISGT50606.2022.9817506

DERMS Online: A New Voltage Sensitivity-Enabled Feedback Optimization Framework

Yiyun Yao, Ketian Ye, Junbo Zhao, Fei Ding, Julieta Giraldez

Power Systems Engineering

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

4 Scopus Citations

Abstract

This paper proposes a distributed energy resource management system (DERMS) solution by developing a new voltage sensitivity-enabled feedback optimization framework. The key idea is to adopt a measurement feedback scheme to reformulate the original nonlinear optimization into a linear programming (LP) problem via perturb-and-observe-based voltage sensitivity analysis. The proposed solution eliminates the dependence on load knowledge and can be implemented online thanks to an efficient open-source solver for LP problems. Comparison results with other control methods on a real distribution feeder in Southern California highlight the feasibility as well as benefits for the proposed framework.

Original language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/ISGT50606.2022.9817506 https://doi.org/10.1109/ISGT50606.2022.9817506
State	Published - 2022
Event	2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022 - New Orleans, United States Duration: 24 Apr 2022 → 28 Apr 2022

Conference

Conference	2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
Country/Territory	United States
City	New Orleans
Period	24/04/22 → 28/04/22

Bibliographical note

See NREL/CP-5D00-80636 for preprint

NREL Publication Number

NREL/CP-5D00-83789

Keywords

distributed energy resource management
Distributed PV
local sensitivity factor
optimal power flow

UN SDGs

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

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Yao, Y., Ye, K., Zhao, J., Ding, F., & Giraldez, J. (2022). DERMS Online: A New Voltage Sensitivity-Enabled Feedback Optimization Framework. Paper presented at 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022, New Orleans, United States. https://doi.org/10.1109/ISGT50606.2022.9817506, https://doi.org/10.1109/ISGT50606.2022.9817506

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abstract = "This paper proposes a distributed energy resource management system (DERMS) solution by developing a new voltage sensitivity-enabled feedback optimization framework. The key idea is to adopt a measurement feedback scheme to reformulate the original nonlinear optimization into a linear programming (LP) problem via perturb-and-observe-based voltage sensitivity analysis. The proposed solution eliminates the dependence on load knowledge and can be implemented online thanks to an efficient open-source solver for LP problems. Comparison results with other control methods on a real distribution feeder in Southern California highlight the feasibility as well as benefits for the proposed framework.",

keywords = "distributed energy resource management, Distributed PV, local sensitivity factor, optimal power flow",

author = "Yiyun Yao and Ketian Ye and Junbo Zhao and Fei Ding and Julieta Giraldez",

note = "See NREL/CP-5D00-80636 for preprint; 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022 ; Conference date: 24-04-2022 Through 28-04-2022",

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Yao, Y, Ye, K, Zhao, J, Ding, F & Giraldez, J 2022, 'DERMS Online: A New Voltage Sensitivity-Enabled Feedback Optimization Framework', Paper presented at 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022, New Orleans, United States, 24/04/22 - 28/04/22. https://doi.org/10.1109/ISGT50606.2022.9817506, https://doi.org/10.1109/ISGT50606.2022.9817506

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AU - Yao, Yiyun

AU - Ye, Ketian

AU - Zhao, Junbo

AU - Ding, Fei

AU - Giraldez, Julieta

N1 - See NREL/CP-5D00-80636 for preprint

PY - 2022

Y1 - 2022

N2 - This paper proposes a distributed energy resource management system (DERMS) solution by developing a new voltage sensitivity-enabled feedback optimization framework. The key idea is to adopt a measurement feedback scheme to reformulate the original nonlinear optimization into a linear programming (LP) problem via perturb-and-observe-based voltage sensitivity analysis. The proposed solution eliminates the dependence on load knowledge and can be implemented online thanks to an efficient open-source solver for LP problems. Comparison results with other control methods on a real distribution feeder in Southern California highlight the feasibility as well as benefits for the proposed framework.

AB - This paper proposes a distributed energy resource management system (DERMS) solution by developing a new voltage sensitivity-enabled feedback optimization framework. The key idea is to adopt a measurement feedback scheme to reformulate the original nonlinear optimization into a linear programming (LP) problem via perturb-and-observe-based voltage sensitivity analysis. The proposed solution eliminates the dependence on load knowledge and can be implemented online thanks to an efficient open-source solver for LP problems. Comparison results with other control methods on a real distribution feeder in Southern California highlight the feasibility as well as benefits for the proposed framework.

KW - distributed energy resource management

KW - Distributed PV

KW - local sensitivity factor

KW - optimal power flow

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Y2 - 24 April 2022 through 28 April 2022

ER -

DERMS Online: A New Voltage Sensitivity-Enabled Feedback Optimization Framework

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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