相关实验视频

Updated: Jan 12, 2026

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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通过使用机器学习技术,加强微电网中的IP控制

Eman Abo-Elkhair1, Ahmed E B Abu-Elanien2, Gamal M Mahmoud3

  • 1Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt.

Scientific reports
|November 1, 2025
PubMed
概括

机器学习通过动态调整比例整合 (PI) 控制器来增强微网控制. 这提高了可再生能源整合的稳定性和可靠性,优于传统方法.

关键词:
人工神经网络 (ANN) 的人工神经网络机器学习 (ML) 是指机器学习.微电网控制控制的方法强化学习 (RL) 是一种强化学习.可再生能源 (RES) 是一种可再生能源.总波扭曲 (THD) 是指总的波扭曲.

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PI Controller: Design01:24

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Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
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Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
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