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

机译:利用人工神经网络电力系统互连燃料电池能量源

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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:其中一个最流行的燃料电池是质子交换膜(PEM),它已被审查和专门促进,即它已经逐步承认,使其能够在较低的温度条件下以高效率工作。在本文中,分析专注于组成的系统的配置,该系统在分流有源电力滤波器和(PEM)燃料电池之间,该系统用于将电力系统提供电力系统,在其固定功率下状况。使用人工神经网络(ANN)作为逆变器的控制系统,使得多功能逆变器,所提出的设计不仅能够将燃料电池电力提供给电网,而且还可充当并行有功功率过滤器(PAPF)以缓解非线性负载引起的不需要的谐波电流,并调节无功功率。结果表明,该系统能够防止谐波效应并加强实用电网的整体能力。

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