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大型风力轮机使用稳定的经济模型进行控制,使用具有状态约束的预测杆技术
Mohamed Abdelkarim Abdelbaky1, Xiangjie Liu2, Guibin Wang3
1College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China; Electrical Power Engineering Department, Faculty of Engineering, Cairo University, Giza 12411, Egypt.
ISA transactions
|September 16, 2025
概括
一个新的经济模型预测控制 (EMPC) 提高了风力轮机在超额定速时的性能. 这种稳定的调度控制策略优化了发电,并确保了变速/调度风力轮机 (VSPWTs) 的系统稳定性.
科学领域:
- 可再生能源系统可再生能源系统
- 控制工程 控制工程 控制工程
- 机械工程 机械工程
背景情况:
- 风力轮机调速控制器面临着超额定速的挑战,包括非线性,稳定性和经济运行.
- 现有的控制器在变化条件下努力平衡功率调节与经济效率.
研究的目的:
- 开发和验证用于在超标风速下运行的变速/转速风力轮机 (VSPWTs) 的新型转速控制策略.
- 为了提高经济表现,并确保闭环稳定,尽管持续的干扰.
主要方法:
- 实施稳定的经济模型预测控制 (EMPC) 技术.
- 将动态经济和跟踪优化集成到一个单一的在线框架中.
- 设计一个最优的线性反控制器,使用受约束的线性矩阵不等式 (LMIs) 来实现稳定性.
主要成果:
- 拟议的EMPC调度控制器与标准和高级控制器相比,表现出优越的性能.
- 使用非线性VSPWT模型和5MWVSPWT模拟器的验证证实了有效性.
- 控制器成功调节了发电机转速,以在风力过大的情况下获得额定功率.
结论:
- 开发的基于EMPC的调度控制策略为VSPWTs提供了强大的和经济上优越的解决方案.
- 这种方法有效地解决了角和状态约束,同时确保了系统的稳定性和经济运行.
- 这些发现突显了EMPC在优化风能捕获和轮机性能方面的潜力.
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