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相关概念视频

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

303
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
303
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

167
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
167
Network Function of a Circuit01:25

Network Function of a Circuit

407
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
407
Linear time-invariant Systems01:23

Linear time-invariant Systems

441
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
441
Power System Distribution01:25

Power System Distribution

321
Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
The transmission system is designed...
321
Multimachine Stability01:25

Multimachine Stability

235
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
235

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对于时间敏感网络 (TSN) 的零触摸动态配置管理框架.

Junhui Jiang1, Shanyu Jin1, Xinghan Li1

  • 1College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.

Entropy (Basel, Switzerland)
|June 26, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了工业5.0.0中时间敏感网络 (TSN) 零触摸配置的动态框架. 延迟意识最短路径搜索 (DASPS) 算法显著提高了工业自动化调度成功率.

关键词:
工业5.0 工业 5.0 工业 5.0 工业 5.0 工业时间敏感的网络.动态配置管理的动态配置管理.

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科学领域:

  • 工业自动化 工业自动化
  • 网络工程 网络工程
  • 网络物理系统 网络物理系统

背景情况:

  • 工业5.0需要先进的自动化,具有零触摸配置功能.
  • 智能制造中的动态网络环境需要灵活和适应性的解决方案.
  • 时间敏感网络 (TSN) 对于实时的工业数据传输至关重要.

研究的目的:

  • 为TSN提出一个动态配置管理框架.
  • 在动态的工业网络中应对灵活性和适应性挑战.
  • 为工业5.0环境增强零触摸配置.

主要方法:

  • 为TSN开发零触摸配置模型的开发.
  • 整合了一个延迟感知最短路径搜索 (DASPS) 算法.
  • 引入路径作为评估系统适应性的指标.

主要成果:

  • 拟议的框架允许在2.67毫秒内重新配置网络.
  • 达斯普斯实现了70.22%的调度成功率,明显超过SPS (22.23%).
  • 路径分析表明,在链路故障后,具有强大的自我修复能力.

结论:

  • 该框架有效地适应动态网络变化,确保实时数据传输.
  • DASPS算法提高了TSN中的调度成功率.
  • 该系统具有强大的自我修复能力,对于工业自动化至关重要.