Distributed Energy Management for Networked Microgrids with Hardware-in-the-Loop Validation

Guodong Liu; Maximiliano F. Ferrari; Thomas B. Ollis; Aditya Sundararajan; Mohammed Olama; Yang Chen

doi:10.3390/en16073014

Distributed Energy Management for Networked Microgrids with Hardware-in-the-Loop Validation

Guodong Liu, Maximiliano F. Ferrari, Thomas B. Ollis, Aditya Sundararajan, Mohammed Olama, Yang Chen

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

For the cooperative operation of networked microgrids, a distributed energy management considering network operational objectives and constraints is proposed in this work. Considering various ownership and privacy requirements of microgrids, utility directly interfaced distributed energy resources (DERs) and demand response, a distributed optimization is proposed for obtaining optimal network operational objectives with constraints satisfied through iteratively updated price signals. The alternating direction method of multipliers (ADMM) algorithm is utilized to solve the formulated distributed optimization. The proposed distributed energy management provides microgrids, utility-directly interfaced DERs and responsive demands the opportunity of contributing to better network operational objectives while preserving their privacy and autonomy. Results of numerical simulation using a networked microgrids system consisting of several microgrids, utility directly interfaced DERs and responsive demands validate the soundness and accuracy of the proposed distributed energy management. The proposed method is further tested on a practical two-microgrid system located in Adjuntas, Puerto Rico, and the applicability of the proposed strategy is validated through hardware-in-the-loop (HIL) testing.

Original language	English
Article number	3014
Journal	Energies
Volume	16
Issue number	7
DOIs	https://doi.org/10.3390/en16073014
State	Published - Apr 2023

Funding

This research is based upon work supported by the U.S. Department of Energys Office of Energy Efficiency and Renewable Energy (EERE) under the Solar Energy Technologies Office (SETO) Award Number DE-EE0002243-2144. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan (accessed on 1 March 2023)).

Keywords

alternating direction method of multipliers (ADMM)
distributed optimization
energy management
hardware-in-loop (HIL)
networked microgrids

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10.3390/en16073014

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title = "Distributed Energy Management for Networked Microgrids with Hardware-in-the-Loop Validation",

abstract = "For the cooperative operation of networked microgrids, a distributed energy management considering network operational objectives and constraints is proposed in this work. Considering various ownership and privacy requirements of microgrids, utility directly interfaced distributed energy resources (DERs) and demand response, a distributed optimization is proposed for obtaining optimal network operational objectives with constraints satisfied through iteratively updated price signals. The alternating direction method of multipliers (ADMM) algorithm is utilized to solve the formulated distributed optimization. The proposed distributed energy management provides microgrids, utility-directly interfaced DERs and responsive demands the opportunity of contributing to better network operational objectives while preserving their privacy and autonomy. Results of numerical simulation using a networked microgrids system consisting of several microgrids, utility directly interfaced DERs and responsive demands validate the soundness and accuracy of the proposed distributed energy management. The proposed method is further tested on a practical two-microgrid system located in Adjuntas, Puerto Rico, and the applicability of the proposed strategy is validated through hardware-in-the-loop (HIL) testing.",

keywords = "alternating direction method of multipliers (ADMM), distributed optimization, energy management, hardware-in-loop (HIL), networked microgrids",

author = "Guodong Liu and Ferrari, \{Maximiliano F.\} and Ollis, \{Thomas B.\} and Aditya Sundararajan and Mohammed Olama and Yang Chen",

note = "Publisher Copyright: {\textcopyright} 2023 by the authors.",

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month = apr,

doi = "10.3390/en16073014",

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AU - Liu, Guodong

AU - Ferrari, Maximiliano F.

AU - Ollis, Thomas B.

AU - Sundararajan, Aditya

AU - Olama, Mohammed

AU - Chen, Yang

PY - 2023/4

Y1 - 2023/4

N2 - For the cooperative operation of networked microgrids, a distributed energy management considering network operational objectives and constraints is proposed in this work. Considering various ownership and privacy requirements of microgrids, utility directly interfaced distributed energy resources (DERs) and demand response, a distributed optimization is proposed for obtaining optimal network operational objectives with constraints satisfied through iteratively updated price signals. The alternating direction method of multipliers (ADMM) algorithm is utilized to solve the formulated distributed optimization. The proposed distributed energy management provides microgrids, utility-directly interfaced DERs and responsive demands the opportunity of contributing to better network operational objectives while preserving their privacy and autonomy. Results of numerical simulation using a networked microgrids system consisting of several microgrids, utility directly interfaced DERs and responsive demands validate the soundness and accuracy of the proposed distributed energy management. The proposed method is further tested on a practical two-microgrid system located in Adjuntas, Puerto Rico, and the applicability of the proposed strategy is validated through hardware-in-the-loop (HIL) testing.

AB - For the cooperative operation of networked microgrids, a distributed energy management considering network operational objectives and constraints is proposed in this work. Considering various ownership and privacy requirements of microgrids, utility directly interfaced distributed energy resources (DERs) and demand response, a distributed optimization is proposed for obtaining optimal network operational objectives with constraints satisfied through iteratively updated price signals. The alternating direction method of multipliers (ADMM) algorithm is utilized to solve the formulated distributed optimization. The proposed distributed energy management provides microgrids, utility-directly interfaced DERs and responsive demands the opportunity of contributing to better network operational objectives while preserving their privacy and autonomy. Results of numerical simulation using a networked microgrids system consisting of several microgrids, utility directly interfaced DERs and responsive demands validate the soundness and accuracy of the proposed distributed energy management. The proposed method is further tested on a practical two-microgrid system located in Adjuntas, Puerto Rico, and the applicability of the proposed strategy is validated through hardware-in-the-loop (HIL) testing.

KW - alternating direction method of multipliers (ADMM)

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KW - energy management

KW - hardware-in-loop (HIL)

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JO - Energies

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ER -

Distributed Energy Management for Networked Microgrids with Hardware-in-the-Loop Validation

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Keywords

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