Reduced Model for Power System State Estimation Using Artificial Neural Networks
Reduced Model for Power System State Estimation Using Artificial Neural Networks
复制标题
使用人工神经网络的电力系统状态估计的简化模型
DOI：
10.1109/greentech.2013.69
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
M. Musavi
中科院分区：
文献类型：
--
作者：
Amamihe Onwuachumba;Yunhui Wu;M. Musavi
本文提出了一种利用人工神经网络进行电力系统状态估计的新方法。该方法不需要对网络的可观测性进行分析，并且使用的测量变量比传统方法少。这种方法已成功地实现了6节点和18节点电力系统，并提供了结果。
In this paper a new technique using artificial neural networks for power system state estimation is presented. This method does not require network observability analysis and uses fewer measurement variables than conventional techniques. This approach has been successfully implemented on 6-bus and 18-bus power systems and the results are provided.