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相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

98
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
98
Open and closed-loop control systems01:17

Open and closed-loop control systems

652
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...
652
Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

542
Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
542
Feedback control systems01:26

Feedback control systems

288
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...
288
Control Systems: Applications01:25

Control Systems: Applications

578
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
578
Load-frequency control01:28

Load-frequency control

126
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...
126

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相关实验视频

Updated: Jun 7, 2025

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

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协调分布式模型预测控制用于多能源载体系统.

Magda I El-Afifi1,2, Abdelfattah A Eladl3, Magdi M El-Saadawi3

  • 1Electrical Eng. Deparment, Faculty of Engineering, Mansoura University, El-Mansoura, Egypt. magda_ibrahim@nilehi.edu.eg.

Scientific reports
|November 12, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了动态能源中心 (EHs) 的分布式控制系统,以管理可再生能源的整合. 拟议的模型预测控制策略提高了稳定性,优化了性能,尽管能源需求和来源波动.

关键词:
综合热能和电力联合热能和电力.能源中心的能源中心.热是一种热.模型预测控制模型预测控制多种能源系统多种能源系统.

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科学领域:

  • 能源系统工程 能源系统工程
  • 控制理论 控制理论
  • 整合可再生能源的整合

背景情况:

  • 能源中心 (EHs) 对于整合可再生能源 (RESs) 至关重要.
  • 随机的可再生能源和波动的能源需求造成了诸如电压不稳定和复杂的能源管理等挑战.
  • 电力和热负荷的动态响应时间进一步使控制系统复杂化.

研究的目的:

  • 为动态能源枢纽提出一个分布式控制系统.
  • 应对管理可再生能源和需求波动的挑战.
  • 为了优化多载体能源系统的性能.

主要方法:

  • 为动态能源枢纽开发分布式控制系统.
  • 实施分布式模型预测控制 (MPC) 策略.
  • 在多载体系统中考虑RES,负载和运行约束.

主要成果:

  • 拟议的分布式MPC战略有效地管理动态能源中心.
  • 模拟证明了系统能够处理随机的可再生能源和波动的需求的能力.
  • 在基准系统中实现了优化系统性能和稳定性.

结论:

  • 分布式控制系统提供了一个可行的解决方案,用于将可再生能源整合到动态EHs中.
  • 模型预测控制在不确定的条件下优化能源枢纽运行是有效的.
  • 拟议的战略提高了具有高可再生能源透率的能源系统的可靠性和效率.