基于MLFTA-SMC的风力发电直流采集系统的可靠性评估方法
Xueyan Bai1, Yanfang Fan2, Junjie Hou1
1School of Electrical Engineering, Xinjiang University, Urumqi, 830000, China.
Scientific reports
|October 25, 2024
概括
本研究引入了一种新的方法,用于评估风力发电直流采集系统的可靠性,使用多级故障树分析和状态空间模型检查 (MLFTA-SMC). 拟议的方法提高了风电场运营的安全性和稳定性.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 系统可靠性 系统可靠性
背景情况:
- 风力发电直流收集系统对于风电场运行至关重要.
- 评估这些系统的可靠性对于稳定的能源发电至关重要.
- 现有的方法可能无法完全捕捉这些系统的复杂性.
研究的目的:
- 为风力发电直流收集系统提出一种新的可靠性评估方法.
- 提高风电场的安全性和稳定的运行.
- 为评估系统可靠性提供卓越的方法.
主要方法:
- 风力发电直流收集系统拓和关键设备的分析.
- 构建多级断层树模型用于事件重要性计算.
- 应用MLFTA-SMC方法进行可靠性评估.
主要成果:
- 拟议的MLFTA-SMC方法有效评估不同直流收集系统拓的可靠性.
- 通过故障树模型计算各种事件的综合重要性.
- 在一座100兆瓦的风电场上的模拟验证了该方法的有效性.
结论:
- MLFTA-SMC方法在风力发电直流采集系统可靠性评估方面表现出显著的有效性和优势.
- 这些发现支持风电场的运行安全性和稳定性得到改善.
- 这种方法为未来可再生能源系统的可靠性研究提供了坚实的框架.
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