基于数字孪生技术的风力发电机电气故障预警
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新疆维吾尔自治区乌鲁木齐市水磨沟区华瑞街777号

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TK83; TP15

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国家重点基础研究发展计划(973计划)


Early warning of electrical faults in wind turbines based on digital twin technology
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The College of Electrical Engineering, Xinjiang Universit

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    摘要:

    由于风机发电机运行工况复杂和工作环境恶劣的问题,为确保风力发电机的安全稳定运行,提出一种基于数字孪生技术的风力发电机全工况运行条件下电气故障预警方法。该方法通过建立风力发电机数字孪生模型,模拟风力发电机复杂运行状态,为电气故障预警提供可靠的虚拟环境;以全工况风速作为输入,监测三相电流变化,为更好的保留数字孪生与实际系统之间残差信息,提出一种增强非线性差分序列距离(S-enhanced Nonlinear Difference Distance, S-NDD)计算方法构建系统状态评价指标;针对复杂多变的风力发电机运行工况,提出一种改进的切比雪夫滑窗自适应动态阈值(Improve Chebyshev Sliding Window Adaptive Dynamic Threshold, ICS-WADT)估计方法设定系统故障预警阈值。结果表明:通过某1.5MW双馈风电机组实际运行数据进行验证,证明所建立的数字孪生模型的高精度和有效性;同时通过监测三相电流的变化实现了对风力发电机电气故障超前预警。可见这一研究为提升风力发电机的可靠性和降低运维成本提供了创新性的解决方案。

    Abstract:

    Due to the problems of complex operating conditions and harsh working environment of wind turbine generators, in order to ensure the safe and stable operation of wind turbine generators, a method of early warning of electrical faults under full operating conditions of wind turbine generators based on digital twin technology is proposed. The method simulates the complex operation state of wind turbine by establishing a digital twin model of wind turbine to provide a reliable virtual environment for electrical fault early warning; the full operating wind speed is used as an input to monitor the three-phase current changes, and an enhanced nonlinear differential sequence distance (S-NDD) calculation method is proposed to construct the system state evaluation indexes in order to better retain the residual information between the digital twin and the actual system; For the complex and variable wind turbine operating conditions, an improved Chebyshev sliding window adaptive dynamic threshold (ICS-WADT) estimation method is proposed to set the system fault warning threshold. The results show that: the actual operation data of a 1.5MW doubly-fed wind turbine is verified to prove the high accuracy and effectiveness of the established digital twin model; at the same time, the monitoring of the three-phase current changes realizes the over-warning of the wind turbine electrical faults. It is concluded that this study provides an innovative solution to improve the reliability of wind turbines and reduce operation and maintenance costs.

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马爱年,高丙朋,郑彪. 基于数字孪生技术的风力发电机电气故障预警[J]. 科学技术与工程, , ():

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  • 收稿日期:2024-02-28
  • 最后修改日期:2024-04-22
  • 录用日期:2024-04-25
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