Reliability assessment method of wind power DC collection system based on MLFTA-SMC

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.

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Publication Details

Journal
Scientific Reports
Published
2024-10-25
DOI
https://doi.org/10.1038/s41598-024-76570-z
Citations
5
Primary Topic
HVDC Systems and Fault Protection
Type
article
Field-Weighted Citation Impact
1.04

Funders

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article

Reliability assessment method of wind power DC collection system based on MLFTA-SMC

Xueyan Bai, Junjie Hou, Yanfang Fan
5 citations
Scientific Reports
HVDC Systems and Fault Protection
1.04
article

Reliability assessment method of wind power DC collection system based on MLFTA-SMC

Xueyan Bai, Junjie Hou, Yanfang Fan
article en
5 citations

Abstract

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.

Scientific ReportsVol. 14(1)
Xinjiang University (CN)
Xinjiang University
Affordable and clean energy
Openalex Percentile: Top 23%
HVDC Systems and Fault Protection
1.04
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