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

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

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

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

Mississippi State University

Research output: Contribution to conference › Paper

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. The proposed DERMS online platform is generalizable to deal with various types of distributed energy resources (DERs), including distributed photovoltaics (PVs), energy storage, electric vehicles, demand response, etc. Comparison results with other control methods on a realistic distribution feeder in Southern California highlight the feasibility as well as benefits for the proposed framework.

Original language	American English
Number of pages	8
State	Published - 2022
Event	IEEE PES Innovative Smart Grid Technologies Conference (ISGT NA) - New Orleans, Louisiana Duration: 24 Apr 2022 → 28 Apr 2022

Conference

Conference	IEEE PES Innovative Smart Grid Technologies Conference (ISGT NA)
City	New Orleans, Louisiana
Period	24/04/22 → 28/04/22

Bibliographical note

See NREL/CP-5D00-83789 for paper as published in proceedings

NLR Publication Number

NREL/CP-5D00-80636

Keywords

distributed energy resources management
distributed PV
local sensitivity factor
optimal power flow

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title = "DERMS Online: A New Voltage Sensitivity-Enabled Feedback Optimization Framework: Preprint",

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. The proposed DERMS online platform is generalizable to deal with various types of distributed energy resources (DERs), including distributed photovoltaics (PVs), energy storage, electric vehicles, demand response, etc. Comparison results with other control methods on a realistic distribution feeder in Southern California highlight the feasibility as well as benefits for the proposed framework.",

keywords = "distributed energy resources 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-5D00-83789 for paper as published in proceedings; IEEE PES Innovative Smart Grid Technologies Conference (ISGT NA) ; Conference date: 24-04-2022 Through 28-04-2022",

year = "2022",

language = "American English",

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TY - CONF

T1 - DERMS Online: A New Voltage Sensitivity-Enabled Feedback Optimization Framework: Preprint

AU - Yao, Yiyun

AU - Ye, Ketian

AU - Zhao, Junbo

AU - Ding, Fei

AU - Giraldez, Julieta

N1 - See NREL/CP-5D00-83789 for paper as published in proceedings

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. The proposed DERMS online platform is generalizable to deal with various types of distributed energy resources (DERs), including distributed photovoltaics (PVs), energy storage, electric vehicles, demand response, etc. Comparison results with other control methods on a realistic 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. The proposed DERMS online platform is generalizable to deal with various types of distributed energy resources (DERs), including distributed photovoltaics (PVs), energy storage, electric vehicles, demand response, etc. Comparison results with other control methods on a realistic distribution feeder in Southern California highlight the feasibility as well as benefits for the proposed framework.

KW - distributed energy resources management

KW - distributed PV

KW - local sensitivity factor

KW - optimal power flow

M3 - Paper

T2 - IEEE PES Innovative Smart Grid Technologies Conference (ISGT NA)

Y2 - 24 April 2022 through 28 April 2022

ER -

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

Abstract

Conference

Bibliographical note

NLR Publication Number

Keywords

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