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Contribution to the Fault Diagnosis of a Doubly Fed Induction Generator for a Closed-loop Controlled Wind Turbine System Associated with a Two-level Energy Storage System

机译:与双级储能系统相关的双馈感应发电机故障诊断闭环控制风力涡轮机系统的贡献

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摘要

In this article, a contribution to the fault diagnosis of a doubly fed induction generator for a closed-loop controlled wind turbine system associated with a two-level energy storage system using an on-line fault diagnostic technique is proposed. This technique is proposed to detect the rotor fault in the doubly fed induction generator under non-stationary conditions based on the spectral analysis of stator currents of the doubly fed induction generator by an adaptive fast Fourier transform algorithm. Furthermore, to prevent system deterioration, a fractional-order controller with a simple design method is used for the control of the whole wind turbine system. The fractional-order controller ensures that the system is stable in both healthy and faulty conditions. Additionally, to improve the production capacity under wind speed fluctuations and grid demand changes, a two-level energy storage system consisting of a supercapacitor bank and lead-acid batteries is proposed. The obtained simulation results show that the objectives of the fault diagnosis procedure and control strategy are reached.
机译:在本文中,提出了使用在线故障诊断技术对与两级储能系统相关联的闭环控制风力涡轮机系统的双馈感应发电机进行故障诊断的贡献。提出了一种基于自适应快速傅里叶变换算法的双馈感应发电机定子电流频谱分析方法,在非平稳条件下检测双馈感应发电机转子故障。此外,为了防止系统恶化,将具有简单设计方法的分数阶控制器用于整个风力涡轮机系统的控制。分数阶控制器可确保系统在健康状况和故障状况下均稳定。另外,为了提高风速波动和电网需求变化下的生产能力,提出了一种由超级电容器组和铅酸蓄电池组成的二级储能系统。仿真结果表明,达到了故障诊断过程和控制策略的目的。

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