电力线通信在智能电网中起到了愈发重要的作用.除了传输信息以外,对电力线网络自身结构的感知也是电力线通信的重要功能之一.通过将电力线网络建模为一个树型网络,同时充分利用电力线通信"通过电网"的特性,恢复电力线网络拓扑结构的能力成为可能.利用电力线网络的信道模型,通过节点之间信号的收发实现了电力线网络拓扑结构的估计.先后利用了矩阵束方法和动态重建方法,仿真结果显示,两种方法可以高概率地正确恢复网络结构,并且高精度地对电力线网络拓扑结构的细节进行恢复.
Power line communication (PLC) is playing a more and more important role in the smart grid (SG). Apart from conveying information, to reconstruct the topology of the network is also very critical. By modeling the power line network as a tree structure and making full use of the property of "through the network" of PLC signal, it is possible to get the knowledge of the topology of network. The PLC channel model was considered and the topology of PLC network was reconstructed by taking advantage of the signal of the transmitter and receiver. The algorithm of matrix pencil and dynamic network reconstruction algorithm was performed. The simulation results show that both algorithms can reconstruct the network topology accurately with a high probability.