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Artificial neural network based dynamic load modeling

机译:基于人工神经网络的动态负荷建模

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摘要

The aim of this research is to investigate the use of artificial neural networks (ANN) with feedback loops for the modeling of power system dynamic loads using field data. In addition to the power demand before the transient, only the phase voltages are assumed available at the recall stage. It is found that the load dynamics can be identified using the ANN developed for the season and the location of the load being emulated. The frequency response of the tested load is also obtained using the achieved ANN model.
机译:这项研究的目的是研究使用带有反馈回路的人工神经网络(ANN),利用现场数据对电力系统动态负载进行建模。除了瞬态之前的功率需求外,在恢复阶段仅假定相电压可用。结果发现,可以使用针对季节开发的ANN和要模拟的负载位置来识别负载动态。还使用获得的ANN模型获得了测试负载的频率响应。

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