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Distributed and Asynchronous Active Fault Management for Networked Microgrids

delete2020-09-01
delete26
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OA
AI
W
Wenfeng Wan
M
Mikhail A. Bragin
B
Bing Yan
Y
Yanyuan Qin
J
Jason Philhower
P
Peng Zhang *
P
Peter B. Luh
DOI:10.1109/TPWRS.2020.2976044delete
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摘要

摘要

En 中文
A distributed and asynchronous active fault management (DA-AFM) method is developed to manage networked microgrids' (NMs) performance under balanced or unbalanced grid faults. The DA-AFM aims to (1) enable NMs' fast fault ride-through capabilities, (2) limit the total fault contributions by coordinating heterogeneous microgrids in the NM system, and (3) deploy software-defined networks (SDN) to ensure highly resilient AFM. The problem is formulated in an optimization form that can incorporate various fault management objectives and constraints in a programmable and flexible fashion. The scalability and resiliency of the DA-AFM system are guaranteed by adopting an SDN-enabled distributed and asynchronous surrogate Lagrangian relaxation (DA-SLR) algorithm, which avoids single point of failure, preserves privacy, and eliminates the idle waiting of other subproblems. Case studies are performed on a six-microgrid NM system to validate the effectiveness and efficacy of DA-AFM. Testing results show that DA-AFM has excellent convergence performance, supports plug-and-play, is resilient to communication delay and failures, meets real-time requirements and is scalable.
Keyword:
Microgrids
Fault currents
Power system stability
Optimization
Real-time systems
Delays
Scalability
Networked microgrids
active fault management
distributed optimization
Software-Defined Networking
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IEEE Transactions on Power Systems 封面图
IEEE Transactions on Power Systems
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7.2
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被引数:
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Rochester Institute of Technology
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state university of new york (suny) system
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University of Connecticut
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