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相关概念视频

Control of Power Flow01:30

Control of Power Flow

665
There are several methods to control power flow in power systems:
665
Load-frequency control01:28

Load-frequency control

608
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...
608
Turbine-Governor Control01:17

Turbine-Governor Control

916
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...
916
PID Controller01:19

PID Controller

639
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...
639
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

358
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
358
Control Systems01:10

Control Systems

1.8K
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: Jan 13, 2026

A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
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提高燃煤炉的效率,使用新的预测控制方法对关键参数进行预测.

Qinwu Li1,2, Libin Yu1, Tingyu Liu2

  • 1State Key Laboratory of Clean Energy Utilization, Institute of Carbon Neutrality, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, Hangzhou 310027, China.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
概括

一种新的预测控制方法在变量负载条件下提高了燃煤炉的效率. 这种方法提高了燃烧稳定性,并通过精确管理关键运行参数来减少二氧化碳排放.

关键词:
在这里,GRU GRU GRU变压器变压器变压器燃煤炉炉燃烧煤炭燃烧炉的使用方式操作参数优化优化 操作参数优化预测性控制方法 预测性控制方法

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Operation of a 25 KWth Calcium Looping Pilot-plant with High Oxygen Concentrations in the Calciner
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Operation of a 25 KWth Calcium Looping Pilot-plant with High Oxygen Concentrations in the Calciner

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相关实验视频

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科学领域:

  • 炉工程 炉工程
  • 燃烧控制器可以控制燃烧.
  • 实现可再生能源的整合.

背景情况:

  • 可再生能源的整合导致燃煤炉频繁的负载变化.
  • 负载波动导致关键操作参数的偏差,降低效率和稳定性.
  • 现有的控制方法在复杂的可变负载条件下扎.

研究的目的:

  • 开发一种新的预测控制方法,用于在变量负载下精确控制燃煤炉的参数.
  • 在碳中和目标的背景下,提高燃烧稳定性和运营效率.
  • 为了减少能源消耗和二氧化碳排放.

主要方法:

  • 开发了一种合变压器通道循环单位 (GRU) 预测模型,用于高精度预测氧含量,床压和主蒸汽温度.
  • 基于鱼优化算法 (WOA) 的实时优化策略用于协调控制调整.
  • 该方法在24小时的负载周期内在300t/h炉上得到了验证.

主要成果:

  • 合变压器-GRU模型实现了高预测准确度 (例如,氧含量MAE为0.095%).
  • 预测性控制方法显著降低了氧含量 (62.07%),床压 (50.95%) 和主要蒸汽温度 (40.43%) 的波动.
  • 现场验证表明,与传统的控制方法相比,实质性改进.

结论:

  • 新的预测控制方法有效地提高了炉的热效率和在可变负载条件下的蒸汽质量.
  • 该方法提供了估计的每年效率增长约1.77%和显著的二氧化碳排放减少.
  • 这种方法支持可再生能源的稳定整合,同时保持炉性能.