基于模式检测信息的离散时间马尔科夫跳跃功率系统的容错控制
Shen Zhang1, Wenhao Zhang1, Lei Su1
1School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China.
ISA transactions
|January 9, 2026
概括
本研究介绍了一个隐藏的马尔科夫跳跃模型,用于电力系统的故障耐受性控制. 它确保系统稳定性和H无限性性能,尽管控制器故障和数据不完整.
科学领域:
- 电气工程 电气工程
- 控制理论 控制理论
- 电力系统 电力系统
背景情况:
- 在电力系统中,很难获得准确的模式数据.
- 断路器开关现象是复杂的模型.
- 控制器故障和不完整的信息在电力系统控制中带来了挑战.
研究的目的:
- 为马尔科夫跳跃动力系统开发一个耐故障的控制策略.
- 为了应对不完整的模式信息和控制器故障的挑战.
- 为了确保随机稳定性和H-无限性性能.
主要方法:
- 建立一个隐藏的马尔科夫跳跃动力系统模型.
- 引入耐故障控制策略.
- 利用部分未知的概率矩阵.
- 利亚普诺夫稳定理论的应用.
主要成果:
- 足够的条件为随机稳定性和H-无限性性能推导.
- 在不完整的模式信息下证明稳定的运行.
- 在同步故障下,在单机无限总线动力系统中验证控制设计.
结论:
- 提出的耐故障控制策略有效地保持了稳定的运行.
- 隐藏的马尔科夫跳跃模型成功地处理了动力系统中的不确定性.
- 该方法确保了系统对控制器故障和数据不完整性的弹性.
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