Research on a topology identification method for distribution areas using multi-dimensional electrical characteristic parameters

To address the issues of low accuracy and stability in traditional topology recognition methods that rely on single electrical characteristic parameters， a new method for topology identification in distribution areas using multi-dimensional electrical characteristic parameters is proposed. Firstly， synchronization of node time within distribution areas is achieved by compensating for the absolute time broadcast by the beacon and the transmission delay of the beacon. Secondly， by using synchronous node data acquisition and edge processing， an efficient data compression mechanism is established to enable the efficient collection and transmission of multi-dimensional characteristic parameters. Additionally， by monitoring surrounding nodes， a neighboring node set is created to reduce the scope of topology calculations. Finally， the paper proposes a topology identification method based on the fuzzy matrix algorithm， utilizing voltage， current， and power characteristic parameters， and validates it with examples. The results demonstrate that the proposed method achieves an accuracy of over 94.12%， surpassing traditional topology recognition methods that rely on single electrical characteristic parameters in both accuracy and robustness.