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Power system interconnection of Fuel Cell Energy Sources at the Distribution Level using artificial neural networks

机译:使用人工神经网络的配电级燃料电池能源动力系统互连

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摘要

One of the most popular fuel cell is the Proton Exchange Membrane (PEM), it has been reviewed and specially promoted, that it has been progressively acknowledged to make it able to work with a high degree of efficiency at lower temperature condition. In this paper, the analysis are focused on the configuration of a system consisting a direct assembly between the shunt active power filter and the (PEM) fuel cells, this system is used to supply the power system with the PEM power, under its fixed power conditions. The use of artificial neural network (ANN) as a control system of the inverter results the multi-operation inverter, the proposed design is not only able of delivering the fuel cell power to the electrical network, but will also act as a parallel active power filter (PAPF) to mitigate the unwanted harmonics current caused by the non-linear loads and regulate reactive power. The results indicate that this system is able to prevent the harmonics effect and strengthen the overall capacity of the utility grid.
机译:质子交换膜(PEM)是最流行的燃料电池之一,它已经过审查和特别推广,已逐渐得到认可,以使其能够在较低温度条件下高效工作。在本文中,分析着重于一个系统的配置,该系统包括一个在并联有源功率滤波器和(PEM)燃料电池之间直接组装的系统,该系统用于在固定功率下为PEM供电。条件。使用人工神经网络(ANN)作为逆变器的控制系统可实现多操作逆变器,所提出的设计不仅能够将燃料电池电力输送到电网,而且还可以用作并联有功功率滤波器(PAPF),以减轻非线性负载引起的有害谐波电流并调节无功功率。结果表明,该系统能够防止谐波影响并增强公用电网的整体容量。

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