相关实验视频

Updated: Sep 17, 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

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一个最佳的神经网络设计发电机和稳定器的多机器动力系统,基于推广的火虫算法

Xiujun Nie1, Nan Sun2, Buqin Wang3

  • 1Innovation and Entrepreneurship Institute, Binzhou Polytechnic, Binzhou, 256603, Shandong, China.

Scientific reports
|July 2, 2025
PubMed
概括

本研究介绍了一种优化的人工神经网络 (ANN) 与促进火虫算法 (PFF),用于设计多机器系统中的电力系统稳定器 (PSS). ANN/PFF-PSS有效地减轻振荡,改善电压恢复,提高电力系统的整体稳定性.

关键词:
人工神经网络的人工神经网络动态条件 动态条件无限公交车无限公交车多机器动力系统多机器动力系统网络建模 网络建模在PID控制器控制器中,PID控制器控制器电力系统稳定器 电力系统稳定器推广的火虫算法

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