A Model-Predictive Hierarchical-Control Framework for Aggregating Residential DERs to Provide Grid Regulation Services: Preprint

Fei Ding; Xin Jin; Harsha Padullaparti; Kumar Utkarsh; Changhong Zhao

A Model-Predictive Hierarchical-Control Framework for Aggregating Residential DERs to Provide Grid Regulation Services: Preprint

National Renewable Energy Laboratory

Research output: Contribution to conference › Paper

Abstract

This paper develops a hierarchical control fram-ework to aggregate and control behind-the-meter distributed energy resources (DERs), which will be ubiquitous in future distribution systems. Even though the increasing penetration of DERs will strain the power networks in terms of voltage regul-ation and coordination issues with existing transmission-level conventional generators, the distribution-level DERs can also be utilized to help provide flexibility to the power network while providing cost savings to the DER owners. Therefore, this paper develops a model-predictive control strategy to determine the available power flexibility, and to utilize the flexibility in an aggregated form to provide grid regulation services. Numerical simulations performed on the IEEE 37-bus test system demonstrate the efficacy of the proposed approach.

Original language	American English
Number of pages	9
State	Published - 2020
Event	2020 IEEE Conference on Innovative Smart Grid Technologies (IEEE ISGT) - Washington, D.C. Duration: 17 Feb 2020 → 20 Feb 2020

Conference

Conference	2020 IEEE Conference on Innovative Smart Grid Technologies (IEEE ISGT)
City	Washington, D.C.
Period	17/02/20 → 20/02/20

Bibliographical note

See NREL/CP-5D00-77340 for paper as published in IEEE proceedings

NLR Publication Number

NREL/CP-5D00-74827

Keywords

behind-the-meter
distributed energy resource
flexibility
hierarchical control
model-predictive

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title = "A Model-Predictive Hierarchical-Control Framework for Aggregating Residential DERs to Provide Grid Regulation Services: Preprint",

abstract = "This paper develops a hierarchical control fram-ework to aggregate and control behind-the-meter distributed energy resources (DERs), which will be ubiquitous in future distribution systems. Even though the increasing penetration of DERs will strain the power networks in terms of voltage regul-ation and coordination issues with existing transmission-level conventional generators, the distribution-level DERs can also be utilized to help provide flexibility to the power network while providing cost savings to the DER owners. Therefore, this paper develops a model-predictive control strategy to determine the available power flexibility, and to utilize the flexibility in an aggregated form to provide grid regulation services. Numerical simulations performed on the IEEE 37-bus test system demonstrate the efficacy of the proposed approach.",

keywords = "behind-the-meter, distributed energy resource, flexibility, hierarchical control, model-predictive",

author = "Fei Ding and Xin Jin and Harsha Padullaparti and Kumar Utkarsh and Changhong Zhao",

note = "See NREL/CP-5D00-77340 for paper as published in IEEE proceedings; 2020 IEEE Conference on Innovative Smart Grid Technologies (IEEE ISGT) ; Conference date: 17-02-2020 Through 20-02-2020",

year = "2020",

language = "American English",

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T1 - A Model-Predictive Hierarchical-Control Framework for Aggregating Residential DERs to Provide Grid Regulation Services: Preprint

AU - Ding, Fei

AU - Jin, Xin

AU - Padullaparti, Harsha

AU - Utkarsh, Kumar

AU - Zhao, Changhong

N1 - See NREL/CP-5D00-77340 for paper as published in IEEE proceedings

PY - 2020

Y1 - 2020

N2 - This paper develops a hierarchical control fram-ework to aggregate and control behind-the-meter distributed energy resources (DERs), which will be ubiquitous in future distribution systems. Even though the increasing penetration of DERs will strain the power networks in terms of voltage regul-ation and coordination issues with existing transmission-level conventional generators, the distribution-level DERs can also be utilized to help provide flexibility to the power network while providing cost savings to the DER owners. Therefore, this paper develops a model-predictive control strategy to determine the available power flexibility, and to utilize the flexibility in an aggregated form to provide grid regulation services. Numerical simulations performed on the IEEE 37-bus test system demonstrate the efficacy of the proposed approach.

AB - This paper develops a hierarchical control fram-ework to aggregate and control behind-the-meter distributed energy resources (DERs), which will be ubiquitous in future distribution systems. Even though the increasing penetration of DERs will strain the power networks in terms of voltage regul-ation and coordination issues with existing transmission-level conventional generators, the distribution-level DERs can also be utilized to help provide flexibility to the power network while providing cost savings to the DER owners. Therefore, this paper develops a model-predictive control strategy to determine the available power flexibility, and to utilize the flexibility in an aggregated form to provide grid regulation services. Numerical simulations performed on the IEEE 37-bus test system demonstrate the efficacy of the proposed approach.

KW - behind-the-meter

KW - distributed energy resource

KW - flexibility

KW - hierarchical control

KW - model-predictive

M3 - Paper

T2 - 2020 IEEE Conference on Innovative Smart Grid Technologies (IEEE ISGT)

Y2 - 17 February 2020 through 20 February 2020

ER -

A Model-Predictive Hierarchical-Control Framework for Aggregating Residential DERs to Provide Grid Regulation Services: Preprint

Abstract

Conference

Bibliographical note

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Keywords

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