Diagnosis and Location of Internal Short Circuit Faults in Pumped Storage Transformers Using Recurrent Surge Oscillography

In this paper, a fault diagnosis and location method for internal short circuit faults of transformer winding in pumped storage power stations based on recurrent surge oscillography is proposed, and the comprehensive performance of three injection pulses of square wave, lightning pulse and sine pulse is compared. Firstly, the winding structure of the pumped storage transformer is analyzed, and a pulse injection scheme suitable for its structural characteristics is proposed. On this basis, the wave process and response characteristics of the injected pulse under inter-turn and inter-phase short circuit faults are analyzed, and a fault diagnosis scheme is proposed. Furthermore, the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and the novel Teager energy operator (NTEO) are used to obtain the time taken by the injection pulse to reach the fault point, and the precise location of the fault coil is realized by combining the traveling wave theory. Finally, the simulation results show the effectiveness of the proposed fault diagnosis and location method. At the same time, the comparative analysis shows that the comprehensive performance of the square wave pulse is the best.