Abstract
The insulated state is one of the most important problems of large power transformer safely running in power system. The most efficient method in monitoring the running transformer’s insulated state is to extract partial discharge (PD) signals in real-time. In this paper, a hardware system of partial discharge online monitoring for large power transformers is presented. In hardware circuit implementation, notice to choose signal sensors, A/D convert unit and filter circuit are reasonably designed, at the same time, large capability storage circuit and the fault diagnosis system are designed.
Highlights
The insulated state is one of the most important problems of large power transformer safely running in power system
In this paper, a powerful system based on digital signal processing is used in partial discharge (PD) online monitoring for large power transformers
The basic structure of online PD monitoring system for large power transformers contains three parts: the current sensor system, the data sampling system based on DSP and the fault diagnosis system
Summary
Transformers are essential and important elements of electric power systems and their protections are critical, The insulated state is one of the most important problems of large power transformer safely running in power system. Supplementary protective systems and methods, which may monitor the variable process of incipient faults online, are needed for power system transformers. Various incipient fault detection techniques, such as dissolved gas analysis and partial discharge analysis have been successfully applied to large power transformer fault diagnosis in past years. Since these techniques have high-cost and some are offline, a low-cost, online incipient fault detection for transformers would be very useful. Online condition monitoring of transformers can give early warning of electrical failure and could prevent catastrophic losses. The paper gives an overview of the whole system, and its constituents are described in detail respectively
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