Estimating the configuration of the distribution network (DN) is essential for coordinated protection, reliable automation, and robust control applications. This article presents a novel approach to detect the configuration of the DN by acquiring and processing real-time measurement from the optimally placed microphasor measurement unit ($\mu$PMU). Initially, the $\mu$PMU placement problem is formulated subjected to the various working configuration of the distribution network for complete observability. After that, measurements from $\mu$PMU nodes are obtained to develop the problem of identifying the network configuration. Conceptual mechanism behind configuration identification approach is to compare time series measurements with the estimated version. The estimated measurement is derived by adopting load-flow analysis pertaining to different network configurations. Comprehensive testing in 33-node DN under different scenarios viz. nominal load, uncertain variation in load, load ratio effect, and evaluation with a reduced number of measuring devices verifies the effectiveness and robustness of the proposed configuration identification approach.

中文翻译：

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一种利用μPMU数据进行配电网配置识别的新方法

估计配电网络 (DN) 的配置对于协调保护、可靠的自动化和稳健的控制应用至关重要。本文提出了一种通过从最佳放置的微相量测量单元获取和处理实时测量值来检测 DN 配置的新方法。$\mu$PMU）。最初，该$\mu$PMU 放置问题是根据配电网络的各种工作配置制定的，以实现完全可观察性。之后，测量从$\mu$获得 PMU 节点来开发识别网络配置的问题。配置识别方法背后的概念机制是将时间序列测量与估计版本进行比较。估计测量值是通过采用与不同网络配置相关的潮流分析得出的。在不同场景下的 33 节点 DN 中的综合测试，即。标称负载、负载的不确定变化、负载比效应以及减少测量设备数量的评估验证了所提出的配置识别方法的有效性和稳健性。