基于人工神经网络的电力系统状态估计简化模型

2013 IEEE Green Technologies Conference (GreenTech) Pub Date : 2013-04-04 DOI:10.1109/GREENTECH.2013.69

Amamihe Onwuachumba, Yunhui Wu, M. Musavi

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引用次数: 13

摘要

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。该方法不需要网络可观测性分析，并且比传统技术使用更少的测量变量。该方法已在6总线和18总线电源系统上成功实现，并给出了结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Reduced Model for Power System State Estimation Using Artificial Neural Networks

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.

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2013 IEEE Green Technologies Conference (GreenTech)

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