谐波阶数跟踪分析:一种新的感应发电机故障诊断方法

Á. Sapena-Bañó, J. Martínez-Román, J. Pérez-Cruz, M. Pineda-Sánchez, J. Roger-Folch, M. Riera-Guasp, R. Puche-Panadero
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引用次数: 5

摘要

考虑到意外故障对风电场盈利能力的负面影响,改进的风力涡轮机故障诊断技术是一个越来越受关注的领域。基于发电机电流监测的新诊断技术最近得到了发展,但尽管电流监测与振动监测相比具有优势,但它们的应用仍然无关紧要。在某种程度上,这种情况可能是由于风力发电组对相对较高的计算能力的需求,以及信号的使用,这些信号产生的大量数据难以传输到控制中心,在控制中心可以对它们进行处理。本文介绍了一种旨在解决这些问题的方法。本文提出了一种基于监测发电机电流的新型故障诊断方法。该方法以谐波阶数为自变量,对故障分量进行跟踪分析。这种方法可以在低成本的数字器件中实现;所得到的模式非常简单,因为无论基本频率如何变化,它们的形状都是相同的,因此,即使是非专业人员也很容易解释。此外,这些模式的特点是参数数量非常少,这使得它们很容易传输到远程控制中心。这种新方法在理论上是合理的,并通过实验室试验得到了验证。
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Harmonic order tracking analysis: A novel method for the diagnosis of induction generators
Improved fault diagnostic techniques in wind turbines is a field of growing interest, given the negative impact that unexpected breakdowns have on the profitability of wind farms. New diagnostic techniques based on generator currents monitoring have recently been developed, but their use is still irrelevant despite the advantages that current monitoring presents versus monitoring vibrations. In part, this situation can be due to the needs of relatively high computing power not available in the wind-groups and also, to the use of signals that generate volumes of data difficult to transfer to control centers, where they could be processed. This paper introduces a methodology that aims to solve these problems. In this paper a novel diagnostic method based on monitoring the generator currents is proposed. This approach is based on the tracking analysis of the fault components using the harmonic order as independent variable. This approach can be implemented in low cost digital devices; the resultant patterns are very simple, since their shape is the same no matter the changes in the fundamental frequency and thus, are easily interpretable even by non-qualified persons. Moreover these patterns are characterized by a very low number of parameters, which make easy their transmission to remote control centers. This new approach is theoretically justified and validated by laboratory tests.
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