杨斌;杜文娟;王海风;

• 1:华北电力大学电气与电子工程学院

摘要(Abstract)：

为了适应电力电子化发展的趋势,同时在建模时考虑电力电子逆变器的高频开关状态的影响,提出了一种基于长短期记忆网络(longshort-termmemory,LSTM)的虚拟同步发电机数据驱动建模方法。通过简化虚拟同步发电机的数学机理模型,着重关注各电气量之间的数据映射关系,构建基于LSTM网络的数据驱动模型,实现了由当前时刻电气量预测下一时刻输出的动态建模。为了验证所提模型的有效性,通过搭建仿真模型,对比了不同神经网络方法以及理论方法的差异性。仿真结果表明,所提模型能够反映虚拟同步机不同运行工况下的动态特性,具有良好的稳定性与泛化性,为电力电子化建模提供了一种有效的解决思路。

关键词(KeyWords)： 虚拟同步发电机;数据驱动;长短期记忆网络;等效建模

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 杨斌;杜文娟;王海风;

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参考文献(References)：

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