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Low-voltage distribution network topology identification method based on characteristic current

机译:基于特征电流的低压配电网拓扑识别方法

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The correct topology relationship is very important in low-voltage distribution network. The traditional topology identification method is not only low in accuracy and interference, but also low in efficiency. In order to solve this problem, a topology recognition method of low-voltage distribution network based on characteristic current is proposed, which aims to identify the topology of low-voltage substation accurately and efficiently by using intelligent sensing terminal, TMR high-sensitivity sensor and injecting characteristic current. Firstly, a low-voltage distribution network architecture based on intelligent sensing terminal and TMR sensor is constructed. Then, the theoretical basis of TMR sensor and characteristic current applied in station topology identification is analyzed. Finally, a practical example shows that the proposed method has high accuracy and strong tolerance, which is of great significance to improve the accuracy of user information identification, reduce the workload and reduce the cost.
机译:正确的拓扑关系在低压配电网中非常重要。传统的拓扑识别方法不仅低于准确性和干扰,效率也很低。为了解决这个问题,提出了一种基于特征电流的低压配电网拓扑识别方法,其目的是通过使用智能传感终端,TMR高灵敏度传感器和识别低压变电站的拓扑结构。注入特征电流。首先,构造了基于智能感测终端和TMR传感器的低压分布网络架构。然后,分析了TMR传感器的理论基础和应用于站拓扑识别中的特性电流。最后,一个实际的例子表明,该方法具有高精度和强的耐受性,这对于提高用户信息识别的准确性,降低工作量并降低成本具有重要意义。

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