Research on Topology Identification Method of Distribution Network Based on Multi-Source Data Fusion
Aiming at the current problem of low utilization of multi-source fusion data in distribution network topology identification,a method of distribution network topology identification based on multi-source data fusion is proposed.Firstly,a multi-source data time scale alignment method is designed.Secondly,a pseudo-measurement data generation method based on linear extrapolation is proposed to improve the data accuracy of the topology identification method.Finally,a discretized and linearized optimal topology identification method for multi-source data fusion distribution networks is established.In the experimental stage,the IEEE 33 feeder system is used as an example to validate the proposed method.The text results show that the topology identification accuracy of the proposed method is 70.98%when the real-time measurement error of the node injected power data is 30%and the pseudo-measurement error is 5%,which is an improvement of 5.86%over the no-fusion method.The proposed method has a certain guiding role in improving the accuracy of topology identification in distribution network.
Distribution networkTopology identificationData fusionDiscretizationLinearization
NETL
NSTL
万方数据
