Fault location method based on structure‐preserving state estimation for distribution networks.

The development and application of information and communication technology in distribution networks (DNs) brings new and abundant measurement data, and this has inspired many solutions for the monitoring, protection and control application of DNs. Against this background, a novel fault location method based on structure‐preserving state estimation (SPSE) is proposed to enhance the fault location performance of DNs. A SPSE model that reflects the change in the network topology during fault incidents is constructed by combining classical measurement equations with newly introduced topology equations. Then, a unified faulted structure‐preserving topology model that eliminates the influence of uncertain fault location point is presented. According to the calculated measurement residual indices and the equivalent fault current for each state estimation (SE) section, the location of the fault is determined. Considering different fault scenarios in a distribution network, the performance of the proposed method is tested by using MATLAB software. Moreover, the factors of sensor accuracy, the bad data and data missing issues are considered. The test results demonstrate that the method can precisely determine the real location of fault and has good robustness to possible data anomalies. [ABSTRACT FROM AUTHOR]