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相关概念视频

Turbine-Governor Control01:17

Turbine-Governor Control

113
Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
113
Load-frequency control01:28

Load-frequency control

92
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
92
Control of Power Flow01:30

Control of Power Flow

242
There are several methods to control power flow in power systems:
242
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

46
Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures...
46
Open and closed-loop control systems01:17

Open and closed-loop control systems

562
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...
562
Control Systems01:10

Control Systems

959
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...
959

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相关实验视频

Updated: May 10, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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基于多代理增强学习的一次性炉-轮机单元的过程知识引导优化控制.

Bangwu Dai1, Yuqing Chang2, Sheng Xu1

  • 1Taizhou Electric Power Conversion and Control Engineering Technology Research Center, Taizhou University, Taizhou 225300, China.

ACS omega
|April 28, 2025
PubMed
概括

本研究引入了煤炭发电机组的新型分布式控制框架,提高了负载响应速度和控制效率,使用以过程知识为指导的多代理深度强化学习.

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科学领域:

  • 工程 工程师 工程师 工程师
  • 计算机科学 计算机科学
  • 能源系统 能源系统

背景情况:

  • 煤炭发电机组的传统集中优化控制因计算需求而难以缓慢负载响应.
  • 设备中的有限计算能力加剧了快速动态调整的挑战.

研究的目的:

  • 为一次性炉轮机单元开发一个以过程知识为指导的分布式优化控制框架.
  • 为了提高燃煤发电机组负载响应的速度和有效性.

主要方法:

  • 使用集中训练分布式执行多代理深度强化学习 (MADRL) 算法.
  • 建模了协调控制系统作为一个合作的多代理马尔科夫决策过程,将其分为三个子系统.
  • 通过低精度的过程模型来指导MADRL培训,使用分布式模型预测控制 (DMPC) 进行初始行动和行动融合策略.

主要成果:

  • 与现有算法相比,拟议的框架显示了更快的响应速度.
  • 在一次通过炉轮机单元的模拟中实现了优异的控制效果.
  • 在模拟平台上验证有效性.

结论:

  • 流程知识引导的分布式优化控制框架有效地解决了传统方法的局限性.
  • 在过程知识的指导下,MADRL为优化发电厂运营提供了一个有前途的方法.