Investigation into the development of a new ANN-based relay for detecting loss of mains of embedded generation
Investigation into the development of a new ANN-based relay for detecting loss of mains of embedded generation
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研究开发一种新的基于 ANN 的继电器，用于检测嵌入式发电电源的断电
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
G. Weller
中科院分区：
文献类型：
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作者：
S. Salman;D. J. King;G. Weller
提出了一种新的检测电源丢失(LOM)的方法，它构成了嵌入式发电机(EG)的基本保护要求之一。它特别考虑了当EG与部分公用事业负荷“孤岛”的情况，该负荷的容量接近发电机的容量。该方法基于人工神经网络(ANN)的应用。使用不同的训练和测试数据以及不同的数据表示方式，研究了不同的ANN结构。开发的ANN网络只需要从三相电压和电流信号的瞬时值进行采样输入，就可以实现非常高的正确分类。应用该方法还发现，基于人工神经网络的继电保护不仅能够正确地对EG和“孤岛”负荷具有匹配能力时的LOM情况进行分类，而且能够区分LOM和平行线丢失，这是以前报道的一个难题。
This paper proposes a new method for detecting loss of mains (LOM), which constitutes one of the principle protection requirements for an embedded generator (EG). It particularly consider the case when the EG is "islanded" with part of the utility load which has a capacity close to that of the generator. The proposed method is based on the application of artificial neural network (ANN). Various ANN architectures, using different training and test data and different ways of presenting the data were investigated. It was possible to achieve a very high correct classification from the developed ANN network which only requires sampled inputs from the instantaneous values of three phase voltages and currents signals. Using this proposed method it has also been found that the ANN-based relay not only correctly classified the LOM cases when an EG and the "islanded" load have matching capacities, but also able to differentiate between the LOM and loss of parallel line which previously reported as being a difficult problem.