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Reliability assessment method of wind power DC collection system based on MLFTA-SMC
by
Bai, Xueyan
, Hou, Junjie
, Fan, Yanfang
in
639/166/987
/ 639/4077/909
/ Accuracy
/ Alternative energy sources
/ Comprehensive importance
/ Efficiency
/ Electricity distribution
/ Humanities and Social Sciences
/ Mathematical models
/ MLFTA-SMC
/ multidisciplinary
/ Reliability
/ Science
/ Science (multidisciplinary)
/ Topology
/ Turbines
/ Wind farms
/ Wind power
/ Wind power DC collection system
2024
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Reliability assessment method of wind power DC collection system based on MLFTA-SMC
by
Bai, Xueyan
, Hou, Junjie
, Fan, Yanfang
in
639/166/987
/ 639/4077/909
/ Accuracy
/ Alternative energy sources
/ Comprehensive importance
/ Efficiency
/ Electricity distribution
/ Humanities and Social Sciences
/ Mathematical models
/ MLFTA-SMC
/ multidisciplinary
/ Reliability
/ Science
/ Science (multidisciplinary)
/ Topology
/ Turbines
/ Wind farms
/ Wind power
/ Wind power DC collection system
2024
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Do you wish to request the book?
Reliability assessment method of wind power DC collection system based on MLFTA-SMC
by
Bai, Xueyan
, Hou, Junjie
, Fan, Yanfang
in
639/166/987
/ 639/4077/909
/ Accuracy
/ Alternative energy sources
/ Comprehensive importance
/ Efficiency
/ Electricity distribution
/ Humanities and Social Sciences
/ Mathematical models
/ MLFTA-SMC
/ multidisciplinary
/ Reliability
/ Science
/ Science (multidisciplinary)
/ Topology
/ Turbines
/ Wind farms
/ Wind power
/ Wind power DC collection system
2024
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Reliability assessment method of wind power DC collection system based on MLFTA-SMC
Journal Article
Reliability assessment method of wind power DC collection system based on MLFTA-SMC
2024
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Overview
Wind power DC collection system, as a crucial component of wind farms, plays a vital role in ensuring the safe and stable operation of the entire wind farm. This paper proposes a reliability assessment method for wind power DC collection systems based on MLFTA-SMC. Firstly, it analyzes the topology and key equipment of wind power DC collection systems. Secondly, based on the topology of different wind power DC collection systems, it constructs multi-level fault tree models to calculate the comprehensive importance of different events, thus providing data support for subsequent reliability assessment. Then, it utilizes the MLFTA-SMC method to assess and analyze the reliability of different wind power DC collection system topologies. Finally, taking a 100 MW wind farm in Northwest China as an example, the proposed reliability assessment method is verified through simulation. The results indicate that this method exhibits good effectiveness and superiority.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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