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A 'Binocular' Method for Detecting Faults in Electrical Distribution Networks with Distributed Generation

机译:分布式发电配电网故障的“双目”检测方法

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The increase in the number of renewable energy generating facilities has transformed the electricity distribution network into a Distributed Generation (DG) system. This has given rise to a new monitoring scenario for protective devices already installed across radial distribution networks, which may execute unexpected and inappropriate protective actions that cause loss of supply to consumers. These devices are affected by the new condition of the electricity distribution network, as network currents vary. A common practice is to use electrical impedance-based fault localizers. This work describes a novel method for fault detection in radial networks with DG, which does not require knowing the electrical impedances of the lines that compose the network. The method only requires input data regarding the short circuit currents provided by the main feeder and the DG units in the area in which a fault has occurred. This information is sufficient to allow the area where the fault lies to be identified. The underlying idea is that the measurement of the current at two points provides a binocular view of the fault, thus allowing its location to be pinpointed. The method was tested using the IEEE 13-node test feeder system, locating different types of faults in different areas of a simulated radial network.
机译:可再生能源发电设施数量的增加已将配电网络转变为分布式发电(DG)系统。这就产生了一种新的监视方案,该监视方案适用于已在整个径向配电网络中安装的保护设备,该保护设备可能会执行意外的和不适当的保护措施,从而导致向消费者的供电中断。随着网络电流的变化,这些设备会受到配电网络新状况的影响。通常的做法是使用基于电阻抗的故障定位器。这项工作描述了一种使用DG的径向网络故障检测的新方法,该方法不需要知道组成网络的线路的电阻抗。该方法仅需要输入与发生故障的区域中的主馈线和DG单元提供的短路电流有关的数据。该信息足以允许识别故障所在的区域。其基本思想是,在两个点上对电流进行测量可提供故障的双目视图,从而可以精确定位其位置。该方法使用IEEE 13节点测试馈线系统进行了测试,可以在模拟径向网络的不同区域中定位不同类型的故障。

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