A Novel Approach for Configuration Identification of Distribution Network Utilizing μPMU Data

摘要

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.