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相关概念视频

Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

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Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
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Design Example: Calculating Safe Diameter for Wind-Exposed Disc01:17

Design Example: Calculating Safe Diameter for Wind-Exposed Disc

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Assessing safety in wind-exposed installations is crucial to preventing potential failures. This example explores the calculation and design adjustments needed to mount a circular disc on a building facade, where wind forces are a primary concern. A 4-meter diameter disc was initially designed as an aesthetic feature facing winds at a velocity of 25 meters per second, with an air density of 1.25 kilograms per cubic meter. Given these conditions, the drag force on the disc was determined using...
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Wind Turbine Machine Models01:24

Wind Turbine Machine Models

85
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
85
The Swing Equation01:21

The Swing Equation

229
The Swing Equation is a fundamental tool in power system dynamics, especially for analyzing the behavior of generating units like three-phase synchronous generators. This equation emerges from applying Newton's second law to the rotor of a generator, encompassing factors such as inertia, angular acceleration, and the interplay between mechanical and electrical torques.
In a steady-state operation, the mechanical torque (Τm) supplied to the generator is balanced by the electrical torque...
229
Moment-of-Momentum Equation01:09

Moment-of-Momentum Equation

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The moment-of-momentum equation is a critical tool for analyzing the torque produced by the rotating blades of a wind turbine. This equation is derived by applying Newton's second law to a fluid particle, which states that the rate of change of linear momentum is equal to the external force acting on the particle.
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Turbine-Governor Control01:17

Turbine-Governor Control

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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...
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相关实验视频

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Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
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一种基于能源模式因素的新优化方法,用于评估风力发电应用的韦布尔参数.

Ghulam Abbas1, Arshad Ali2, Mohamed Tahar Ben Othman3

  • 1Department of Electrical Engineering, The University of Lahore, Lahore, 54000, Pakistan.

Scientific reports
|January 3, 2025
PubMed
概括

一种新方法,即新型优化能源模式因子方法 (NOEPFM),准确估计风速数据参数,以评估风能潜力. 与现有方法相比,这种方法提供了更好的适应性.

关键词:
能源效率 能源效率 能源效率能源模式因子 (EPF) 是指能源模式因子.这里是NOEPFM.优化优化 优化优化统计指标 统计指标韦布尔的参数参数风速数据 风速数据 风速数据

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科学领域:

  • 可再生能源可再生能源是可再生能源.
  • 气象学 天气学
  • 统计建模 统计建模

背景情况:

  • 风能是重要的绿色能源.
  • 准确的风速数据分析对于评估风力发电潜力至关重要.
  • 韦布尔分布 (WD) 通常用于风速数据,需要准确的参数估计 (形状k和尺度c).

研究的目的:

  • 提出并验证一种新的优化能源模式因子方法 (NOEPFM) 来从风速数据中确定韦布尔分布参数.
  • 将NOEPFM的性能与现有的能量模式因子 (EPF) 方法进行比较.

主要方法:

  • 该研究介绍了NOEPFM,使用信任区域狗腿算法.
  • NOEPFM应用于巴基斯坦南部旁遮普邦四个城市的风速数据.
  • 绩效使用良性适应指数进行评估:RMSE,MAE,R,CoE和MaxAE.

主要成果:

  • 与传统的基于EPF的方法相比,NOEPFM证明了对风速数据集的优越适应.
  • 提出的方法在估计韦布尔分布参数 (k 和 c) 中显示出高准确度.

结论:

  • NOEPFM是计算风力发电潜力的可行和增强的方法.
  • 该方法为准确的风能资源评估提供了可靠的工具.