相关实验视频

Updated: Jun 10, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

253

一种基于人工神经网络的新选择和减小技术,用于单一源供电的高增益切换电容合多级逆变器,用于可再生能源应用

Anand Kumar Thangapandi1, Amit Kumar2, Durgalakshmi Karthigeyan1

  • 1Department of Electrical and Electronics Engineering, Dr. Mahalingam College of Engineering and Technology (Autonomous), India.

Heliyon
|October 15, 2024
PubMed
概括

本研究介绍了一种用于可再生能源的新型高增益多级逆变器 (MLI),使用更少的组件实现高电压增益. 人工神经网络 (ANN) 用于显著减少总波扭曲 (THD).

关键词:
多级逆变器多级逆变器脉冲宽度调制脉冲宽度调制开关电容器的电容器已经切换.总的波扭曲 总的波扭曲电压提升能力的电压提升能力.

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