基于特征电流的低压配电网拓扑识别方法

Xuanping Lai, Min Cao, Siyang Liu, Chenjun Sun
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引用次数: 1

摘要

在低压配电网中,正确的拓扑关系是非常重要的。传统的拓扑识别方法不仅精度低、干扰大,而且效率低。为了解决这一问题,提出了一种基于特征电流的低压配电网拓扑识别方法,该方法旨在利用智能传感终端、TMR高灵敏度传感器和注入特征电流,准确高效地识别低压变电站的拓扑结构。首先,构建了基于智能传感终端和TMR传感器的低压配电网体系结构;然后,分析了TMR传感器和特征电流在车站拓扑识别中应用的理论基础。最后,通过实例验证了该方法具有较高的准确率和较强的容错性,对提高用户信息识别的准确性、减少工作量和降低成本具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-voltage distribution network topology identification method based on characteristic current
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.
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