电力系统人工神经网络约简模型

Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. Pub Date : 2005-12-27 DOI:10.1109/IJCNN.2005.1556314

J. Ramirez

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引用次数: 3

摘要

本文的目的是应用人工神经网络(ANN)来建立电力系统的约简模型，也称为动态等效模型。人工神经网络被训练来帮助构建动态当量，这在电力系统中被认为是一项艰巨的任务。主要目标是在一些相关节点上重现复杂电压。仿真结果证明了该方法的适用性和鲁棒性。

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Power system reduced model by artificial neural networks

This paper is aimed to the application of artificial neural networks (ANN) for constructing a power system reduced model, also termed dynamic equivalent. ANN are trained to help in constructing dynamic equivalents, which is considered a hard task in the context of electrical power systems. The main objective is to reproduce the complex voltage at some relevant nodes. The simulation results prove the applicability and robustness of this innovative approach.

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Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.

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