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相关概念视频

Feedback control systems01:26

Feedback control systems

307
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
307
Generator Voltage Control01:21

Generator Voltage Control

147
Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
147
Open and closed-loop control systems01:17

Open and closed-loop control systems

732
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
732
Control of Power Flow01:30

Control of Power Flow

266
There are several methods to control power flow in power systems:
266
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

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The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
220
Control Systems01:10

Control Systems

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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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相关实验视频

Updated: Jun 28, 2025

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

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Published on: February 14, 2025

341

基于软演员批评器的虚拟同步发生器参数的自适应控制.

Chuang Lu1, Xiangtao Zhuan1

  • 1School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China.

Sensors (Basel, Switzerland)
|April 13, 2024
PubMed
概括

本研究使用强化学习 (RL) 来优化虚拟同步发生器 (VSG) 控制,减少功率和频率振荡. 这种新的方法提高了稳定性,加快了系统响应时间.

科学领域:

  • 电气工程 电气工程
  • 控制系统 控制系统
  • 人工智能的人工智能

背景情况:

  • 传统的虚拟同步发电机 (VSG) 面临着主动功率和频率振荡的挑战.
  • 现有的控制方法可能会导致长时间的系统短暂或低于最佳性能.

研究的目的:

  • 为VSG控制引入无模型的强化学习 (RL) 优化方法.
  • 为了解决和减轻VSG中的活性功率和频率振荡.
  • 改善短暂反应并减少设置时间.

主要方法:

  • 使用了强化学习代理,作为状态输入具有主动功率和频率响应.
  • 调整了虚拟惯性和缓冲系数,以获得最佳的VSG性能.
  • 在功率和频率偏差的奖励函数中加入了一个设置时间术语.
  • 采用软行为体批评 (SAC) 算法来优化政策.

主要成果:

  • 提出的基于RL的方法有效地抑制了主动功率和频率振荡.
  • 与其他方法相比,显著减少了系统设置时间.
  • 通过SAC算法证明了优越的融合,并避免了政策高估偏差.
关键词:
适应性控制的自适应性控制缓冲系数的缓冲系数是什么强化学习是一种强化学习.柔软的演员 评论家 评论家虚拟惯性的虚拟惯性虚拟同步发电机是一个虚拟的同步发电机.

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相关实验视频

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结论:

  • 无模型的RL方法为VSG稳定性增强提供了有效的解决方案.
  • 在奖励函数中包含一个设置时间项,可以提高暂时性能.
  • 该SAC算法为VSG控制提供了强大的和高效的优化.