TY - GEN
T1 - MAS-based Distributed Load Restoration in Resilient Networked DC Microgrid Systems
AU - Ullah, Md Habib
AU - Park, Jae Do
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
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.
UR - http://www.scopus.com/inward/record.url?scp=85123379227&partnerID=8YFLogxK
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U2 - 10.1109/ECCE47101.2021.9595423
DO - 10.1109/ECCE47101.2021.9595423
M3 - Conference contribution
AN - SCOPUS:85123379227
T3 - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
SP - 707
EP - 712
BT - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Y2 - 10 October 2021 through 14 October 2021
ER -
