利用识别算法对配电系统上的燃料电池装置进行建模

Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521) Pub Date : 2004-05-12 DOI:10.1109/MELCON.2004.1348223

F. Jurado, J. Sáenz, L. Fernández

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引用次数: 7

摘要

为了确定燃料电池对未来配电系统的潜在影响，应该创建燃料电池的动态模型，按顺序减少，并分散在整个测试馈线中。本文提出了一种基于时域仿真计算固体氧化物燃料电池低阶线性系统模型的有效方法。该方法是Box-Jenkins算法，用于从其输入和输出的样本计算线性系统的传递函数。

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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Modeling fuel cell plants on the distribution system using identification algorithms

To determine the potential impacts of fuel cells on future distribution system, dynamic models of fuel cells should be created, reduced in order, and scattered throughout test feeders. This paper presents the implementation of an efficient method for computing low order linear system models of solid oxide fuel cells (SOFCs) from time domain simulations. The method is the Box-Jenkins algorithm for calculating the transfer function of a linear system from samples of its input and output.

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Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521)

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