Статья

On-line partial discharge monitoring and diagnostic system for power transformer

Lin DuDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaLei JiangDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaFuqi LiDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaZhu DehengDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaKexiong TanDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaWu ChengqiElectric Power Corp. (Group), Shenyang 110013, ChinaJin XianheUniversity of Southern California, Los Angeles, CA 90089-0271, USAWang ChangchangUniversity of Southern California, Los Angeles, CA 90089-0271, USATao ChengUniversity of Southern California, Los Angeles, CA 90089-0271, USA

2005en

ABI

Аннотация

This paper introduces a computerized on-line partial discharge (PD) monitoring and diagnostic system for transformers. The system, which is already in use in a power station, uses wide-band active transducers and a data acquisition unit with modularized and exchangeable components. The system software is a power equipment monitoring and diagnostic system, which is based on the component object model, and was developed for monitoring multiple parameters in multiple power supply systems. The statistical characteristics of PDs in power transformers were studied using 7 experimental models for simulating PDs in transformers and 3 models for simulating interfering discharges in air. The discharge features were analyzed using a 3-D pattern chart with a three-layer back-propagation artificial neural network used to recognize the patterns. The results show that PDs in air and oil can be distinguished. The model can be used for interference rejection on-line monitoring of partial discharge in transformers.

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Идентификаторы

DOI: 10.1016/s1007-0214(05)70125-5

Цитирования и источники

Цитирований: 2Использованных источников: 0

Показатели — AkademScholar