Abstract

The inter-turn short circuit is a common fault in the synchronous generator. This fault is not easily detected at early stage. However, with the development of the fault, it will pose a threat to the safe operation of the generator. To detect the inter-turn short circuit of rotor winding, the feasibility of identifying the stator branch characteristics of synchronous generator during inter-turn short circuit was analyzed. In this paper, an on-line fault identification method based on Volterra kernel identification is presented. This method uses the stator branch voltage and stator unbalance branch current collected from the generator as input and output signals of the series model. Recursive batch least squares method is applied to calculate the three kernels of Volterra series. When the generator is in normal state or fault state, the Volterra kernel will change accordingly. Through the identification of the time-domain kernel of the nonlinear transfer model, the inter-turn short circuit fault of the synchronous generator is diagnosed. The correctness and effectiveness of this method is verified by using the data of fault experimental synchronous generator.

Highlights

  • Rotor winding inter-turn short circuit fault is a typical fault in synchronous generator.Synchronous generator has the characteristics of complex structure, high voltage and large workload.In addition, the rotor of the generator is in a state of rotational vibration for a long time, is more prone to failure

  • When the inter-turn short circuit occurs in the rotor winding of large synchronous generator, it will result in the increase of excitation current and the intensification of rotor vibration [3,4]

  • The stator unbalance branch current will be generated when inter-turn short circuit fault rotor winding occurs in synchronous generator, which can be used as a standard for fault diagnosis

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Summary

Introduction

Rotor winding inter-turn short circuit fault is a typical fault in synchronous generator. The stator unbalance branch current will be generated when inter-turn short circuit fault rotor winding occurs in synchronous generator, which can be used as a standard for fault diagnosis. The fault of rotor winding inter-turn short circuit is identified by identifying the difference of Volterra kernel function between the nonlinear system of stator branch voltage and branch current under normal or fault conditions. Inter-turn short circuit fault will lead to changes of three-order Volterra kernels of stator branch current, so the diagnosis method proposed in this paper can reflect the fault situation from three dimensions and has high diagnostic accuracy. Analyzing Volterra kernel variation of stator branch current of synchronous generator provides important conclusions for early diagnosis of inter-turn short circuit fault

Kernel Identification Algorithm for Volterra Series
Basic Theory of Volterra Series
Kernel Identification of Volterra Series
Calculation of Stator Unbalanced Branch Current
The Experiment of Inter-turn Short Circuit Fault
Figure
Volterra
Tables and
Absolute
Findings
Conclusions
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