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 distribu-tion 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 compres-sion 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 algo-rithm,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 recogni-tion methods that rely on single electrical characteristic parameters in both accuracy and robustness.
关键词
配电台区/拓扑识别/同步采集/邻节集合/模糊矩阵
Key words
distribution area/topology identification/synchronous acquisition/neighboring node set/fuzzy matrix
维普
万方数据