Artificial Intelligence and Agent based Modeling for Power System Engineering

D. Kim
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Abstract

The fields of power electronics and fuel cells have emerged as key players in the development of sustainable power sources. The prevailing demand for fuel cells is projected to increase as they become the principal source of energy for portable electronics. A high-efficiency converter is a crucial component of the whole system and an absolute must for this specific use case. This is because the converter has a huge impact on the portability of the system as a whole in terms of size, efficiency, cost, and reliability. Choosing appropriate converter architecture is a key and important aspect of increasing the network of fuel cells for embedded systems since the converters alone accomplishes such as significant role in determining the overall efficiency of the system in this study, we take a look at the many topologies configurations of AC inverters and DC converters that are employed in the installation of fuel cells for autonomous and portable. The techniques of switching used in fuel cell energy conditioning are also analyzed in this research. The current issue with DC converters and AC inverters is also discussed at the end of this paper.
基于人工智能和Agent的电力系统工程建模
电力电子和燃料电池领域已经成为可持续能源发展的关键参与者。随着燃料电池成为便携式电子设备的主要能源,预计对燃料电池的普遍需求将会增加。高效的转换器是整个系统的关键组成部分,对于这个特定的用例来说是绝对必须的。这是因为转换器在大小、效率、成本和可靠性方面对整个系统的可移植性有巨大的影响。选择合适的转换器架构是增加嵌入式系统燃料电池网络的一个关键和重要方面,因为转换器本身在决定系统的整体效率方面发挥着重要作用。在本研究中,我们将研究用于自主和便携式燃料电池安装的交流逆变器和直流转换器的许多拓扑配置。本文还对燃料电池能量调节中的开关技术进行了分析。本文最后还讨论了直流变换器和交流逆变器目前存在的问题。
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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