Event-triggered mechanism based robust fault-tolerant control for networked wind energy conversion system
2022-03-17
【论文推荐】河海大学 霍志红等：基于事件触发机制的网络化风能转换系统鲁棒容错控制
本文对存在传感器和执行器故障的变速风能转换系统，提出了一种基于事件触发通信机制的鲁棒容错控制方法。建立了具有事件触发机制的非线性风能转换系统Takagi-Sugeno模糊模型模型。通过李雅普诺夫稳定性分析理论，给出了具有事件触发机制的风能转换系统鲁棒容错控制器的参数化表达式。与现有的风能转换系统容错控制方法相比，该方案显著降低了网络数据包的传输压力，提高了系统的鲁棒性和可靠性。以变速恒频双馈风力发电机组为例，考虑系统模型的不确定性，分析了具有事件触发机制的风能转换系统容错控制。数值模拟结果验证了所提容错控制方法的有效性。
Event-triggered mechanism based robust fault-tolerant control for networked wind energy conversion system
基于事件触发机制的网络化风能转换系统鲁棒容错控制
Zhihong Huo, Chang Xu
(College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, P. R. China)
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Abstract
Keywords
Event-triggered mechanism (ETM), Wind energy conversion system (WECS), Fault-tolerant control (FTC), Takagi-sugeno (T-S) fuzzy model.
Fig.1 Networked wind energy conversion system
Fig.2 WECS based on event-triggered communication mechanism
Fig.3 Data transmission trigger rule for WECS
Fig.4 ETM Based WECS Block diagram
Fig.5 Wind turbine response of Δβref in Case 1 (dotted line) and Case 2 (solid line)
Fig.6 Wind turbine response of ΔTg,ref in Case 1 (dotted line) and Case 2 (solid line)
Fig.7 Wind turbine response of electrical power in Case 1 (dotted line) and Case 2 (solid line)
Fig.8 Wind turbine response of rotor speed in Case 1 (dotted line) and Case 2 (solid line)
Fig.9 Wind turbine response of Δβref in Case 3 (dotted line) and Case 4 (solid line)
Fig.10 Wind turbine response of ΔTg,ref in Case 3 (dotted line) and Case 4 (solid line)
Fig.11 Wind turbine response of electrical power in Case 3 (dotted line) and Case 4 (solid line)
Fig.12 Wind turbine response of rotor speed in Case 3 (dotted line) and Case 4 (solid line)
Fig.13 Release instants and release intervals for Cases 3 and Cases 4
本文引文信息
Zhihong Huo, Chang Xu (2022) Event-triggered mechanism based robust fault-tolerant control for networked wind energy conversion system. Global Energy Interconnection, 5(1):55-65
霍志红，许昌（2022）基于事件触发机制的网络化风能转换系统鲁棒容错控制. 全球能源互联网（英文），5(1):55-65
Biographies
Zhihong Huo
received her bachelor and master degree from Wuhan University and Ph.D. from Huazhong University of Science and Technology. She is working in College of Energy and Electrical Engineering, Hohai University, Nanjing, China. Her research interests includes networked power system load frequency control, wind turbine robust control.
Chang Xu
received his bachelor and master degree from Northeast University and Ph.D. from Southeast University. He is working in College of Energy and Electrical Engineering, Hohai University, Nanjing, China. His research interests includes power system load frequency control, analysis and design of wind turbine control system.
编辑：王彦博
审核：王 伟
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