ICA在分布式能源系统故障检测中的应用研究

The research of independent component analysis on fault detection on distributed energy system

分布式能源系统的故障检测,因其可以减少巨大的经济损失而非常重要.局部放电现象是引起分布式能源系统的击穿性故障的主要原因之一.本文针对系统中的局部放电问题,提出了一种改进的独立变量分析(ICA)故障检测法,通过实验证明该方法可以迅速识别局部放电的类型和发生位置,简单有效,为分布式能源系统故障检测研究提供了一种有效途径.

Detection of faults in distributed energy system before the eventual breakdown of the system is very important as it can reduce the costs incurred from equipment failures. Partial discharge is one of the main causes of breakdown of distributed energy system. This paper proposed an improved method for fault detection. The experimental results demonstrate that this method not only is easy to apply but also can quickly identify the type and the location of partial discharge activities. This paper supplies a feasible method for the detection of faults in the distributed energy system.