相关实验视频

Updated: Sep 13, 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

615

一个新的数据驱动的NLMPC战略技术经济微电网管理与电池储能在不确定性下

Elnaz Yaghoubi1, Elaheh Yaghoubi2, Mehdi Zareian Jahromi3

  • 1Faculty of Engineering, Department of Electrical and Electronics Engineering, Karabuk University, Karabuk, Turkey. elnaz.yaquobi@gmail.com.

Scientific reports
|August 1, 2025
PubMed
概括

本研究介绍了一种数据驱动的非线性模型预测控制 (NLMPC) 框架,使用高斯过程回归 (GPR) 来优化微电网 (MG) 与能源存储系统 (ESS) 的运行. 该方法通过准确建模动态和处理不确定性,显著降低成本并提高电压稳定性.

关键词:
数据驱动的数据驱动.储能储能是指储能过程中的能量.微电网就是一个微电网.非线性MPC是指非线性的MPC.实时实时的时间.不确定性 不确定性

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