MAS-based Distributed Load Restoration in Resilient Networked DC Microgrid Systems

Md Habib Ullah; Jae Do Park

doi:10.1109/ECCE47101.2021.9595423

MAS-based Distributed Load Restoration in Resilient Networked DC Microgrid Systems

Md Habib Ullah
, Jae Do Park

School of Science, Engineering & Technology (Harrisburg)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Extreme events such as faults, cyber-physical attacks, and natural disasters have a widespread impact on the electrical system infrastructure, leading to extensive power outages or blackouts. These events can cause temporary or permanent damages to the power systems and seriously compromise the system's resiliency. A quick restoration strategy for the systems' critical loads after extreme events is crucial to ensure resilient operation. This paper presents a fast load restoration (LR) approach for multi-agent-system-based networked DC microgrid systems with distributed energy resources. The overall restoration problem is designed with a weighted sum optimization technique that consists of operational costs, load pickup costs, and optimum power-flow-related costs. It was solved in a distributed manner by applying Alternating Direction Method of Multipliers (ADMM) algorithm through multi-agent communications. The effectiveness of the developed LR technique is verified by applying it to a networked MG system of 4 single-bus DC MGs.

Original language	English (US)
Title of host publication	2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	707-712
Number of pages	6
ISBN (Electronic)	9781728151359
DOIs	https://doi.org/10.1109/ECCE47101.2021.9595423
State	Published - 2021
Event	13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Virtual, Online, Canada Duration: Oct 10 2021 → Oct 14 2021

Publication series

Name	2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

Conference

Conference	13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Country/Territory	Canada
City	Virtual, Online
Period	10/10/21 → 10/14/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/ECCE47101.2021.9595423

Cite this

Ullah, M. H., & Park, J. D. (2021). MAS-based Distributed Load Restoration in Resilient Networked DC Microgrid Systems. In 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings (pp. 707-712). (2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE47101.2021.9595423

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title = "MAS-based Distributed Load Restoration in Resilient Networked DC Microgrid Systems",

abstract = "Extreme events such as faults, cyber-physical attacks, and natural disasters have a widespread impact on the electrical system infrastructure, leading to extensive power outages or blackouts. These events can cause temporary or permanent damages to the power systems and seriously compromise the system's resiliency. A quick restoration strategy for the systems' critical loads after extreme events is crucial to ensure resilient operation. This paper presents a fast load restoration (LR) approach for multi-agent-system-based networked DC microgrid systems with distributed energy resources. The overall restoration problem is designed with a weighted sum optimization technique that consists of operational costs, load pickup costs, and optimum power-flow-related costs. It was solved in a distributed manner by applying Alternating Direction Method of Multipliers (ADMM) algorithm through multi-agent communications. The effectiveness of the developed LR technique is verified by applying it to a networked MG system of 4 single-bus DC MGs.",

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Ullah, MH & Park, JD 2021, MAS-based Distributed Load Restoration in Resilient Networked DC Microgrid Systems. in 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings. 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 707-712, 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021, Virtual, Online, Canada, 10/10/21. https://doi.org/10.1109/ECCE47101.2021.9595423

MAS-based Distributed Load Restoration in Resilient Networked DC Microgrid Systems. / Ullah, Md Habib; Park, Jae Do.
2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. p. 707-712 (2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Ullah, Md Habib

AU - Park, Jae Do

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N2 - Extreme events such as faults, cyber-physical attacks, and natural disasters have a widespread impact on the electrical system infrastructure, leading to extensive power outages or blackouts. These events can cause temporary or permanent damages to the power systems and seriously compromise the system's resiliency. A quick restoration strategy for the systems' critical loads after extreme events is crucial to ensure resilient operation. This paper presents a fast load restoration (LR) approach for multi-agent-system-based networked DC microgrid systems with distributed energy resources. The overall restoration problem is designed with a weighted sum optimization technique that consists of operational costs, load pickup costs, and optimum power-flow-related costs. It was solved in a distributed manner by applying Alternating Direction Method of Multipliers (ADMM) algorithm through multi-agent communications. The effectiveness of the developed LR technique is verified by applying it to a networked MG system of 4 single-bus DC MGs.

AB - Extreme events such as faults, cyber-physical attacks, and natural disasters have a widespread impact on the electrical system infrastructure, leading to extensive power outages or blackouts. These events can cause temporary or permanent damages to the power systems and seriously compromise the system's resiliency. A quick restoration strategy for the systems' critical loads after extreme events is crucial to ensure resilient operation. This paper presents a fast load restoration (LR) approach for multi-agent-system-based networked DC microgrid systems with distributed energy resources. The overall restoration problem is designed with a weighted sum optimization technique that consists of operational costs, load pickup costs, and optimum power-flow-related costs. It was solved in a distributed manner by applying Alternating Direction Method of Multipliers (ADMM) algorithm through multi-agent communications. The effectiveness of the developed LR technique is verified by applying it to a networked MG system of 4 single-bus DC MGs.

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Ullah MH, Park JD. MAS-based Distributed Load Restoration in Resilient Networked DC Microgrid Systems. In 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 707-712. (2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings). doi: 10.1109/ECCE47101.2021.9595423

MAS-based Distributed Load Restoration in Resilient Networked DC Microgrid Systems

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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