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Fault Types01:18

Fault Types

108
When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
For line-to-line faults occurring between phases B and C, the...
108
Bus Impedance Matrix01:24

Bus Impedance Matrix

149
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
149
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

239
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:
239
Series R—L Circuit Transients01:22

Series R—L Circuit Transients

126
In a series resistor-inductor (R-L) circuit, closing the switch at the start of the time period simulates a three-phase short circuit, a fault condition where all three phases of an unloaded synchronous machine are short-circuited. When there is no fault impedance and no initial current, the initial voltage is determined by the phase angle of the source voltage.
Using Kirchhoff's Voltage Law (KVL) to analyze this circuit helps determine the total asymmetrical fault current, which consists...
126
Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

114
Determining the subtransient fault current in a power system involves representing transformers by their leakage reactances, transmission lines by their equivalent series reactances, and synchronous machines as constant voltage sources behind their subtransient reactances. In this analysis, certain elements are excluded, such as winding resistances, series resistances, shunt admittances, delta-Y phase shifts, armature resistance, saturation, saliency, non-rotating impedance loads, and small...
114
Electrostatic Boundary Conditions in Dielectrics01:27

Electrostatic Boundary Conditions in Dielectrics

1.3K
When an electric field passes from one homogeneous medium to another, crossing the boundary between the two mediums imparts a discontinuity in the electric field. This results in electrostatic boundary conditions that depend on the type of mediums the field propagates through.
Consider a case where both the mediums across a boundary are two different dielectric materials. Recall that the electric field and electric displacement are proportional and related through the material's...
1.3K

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相关实验视频

Updated: Jul 23, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

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使用Christiano-Fitzgerald随机步行过器进行绝缘体故障预测的数据处理的组方法.

Stefano Frizzo Stefenon1,2, Laio Oriel Seman3, Nemesio Fava Sopelsa Neto4

  • 1Digital Industry Center, Fondazione Bruno Kessler, 38123 Trento, Italy.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
概括
此摘要是机器生成的。

使用Christiano-Fitzgerald随机步行 (CFRW) 和组数据处理 (GMDH) 的新混合方法通过分析泄漏电流,准确地预测电网绝缘体的故障. 这种方法通过早期故障检测来提高电源供应的可靠性.

关键词:
克里斯蒂安·菲茨杰拉德随机步行过器电力电网 电力网 电力网数据处理的组方法数据处理的组方法.泄漏电流的情况时间序列预测时间序列预测

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科学领域:

  • 电气工程 电气工程
  • 材料科学 材料科学 材料科学
  • 数据科学数据科学数据科学

背景情况:

  • 电力供应系统的破坏性故障往往先于分布绝缘体中泄漏电流的增加.
  • 监测绝缘体的健康状况对于保持电力发电网的可靠性至关重要.

研究的目的:

  • 开发和评估一种新的混合方法,用于使用泄漏当前时间序列数据预测受污染的电网绝缘体的故障.
  • 评估克里斯蒂亚诺-菲茨杰拉德随机步行 (CFRW) 过器和组数据处理 (GMDH) 方法用于故障预测的有效性.

主要方法:

  • 开发了一种混合故障预测方法,将Christiano-Fitzgerald随机步行 (CFRW) 过器用于趋势分解和组数据处理 (GMDH) 方法用于时间序列预测.
  • 在高压实验室模拟中,对15kV级绝缘体进行了受控污染,在28小时内记录了泄漏电流,直到闪过.
  • 在减少非线性方面,CFRW过器的性能与使用移动平均线的季节性分解进行了比较.

主要成果:

  • 与使用移动平均线的季节性分解相比,CFRW过器在减少非线性方面表现优异.
  • 拟议的CFRW-GMDH混合方法实现了3.44×10-12的根平均平方误差,用于故障预测.
  • 在预测绝缘器故障方面,CFRW-GMDH方法超过了标准的GMDH和长短期记忆 (LSTM) 模型.

结论:

  • 混合CFRW-GMDH方法是基于泄漏电流数据预测电网绝缘体故障的高效和有前途的工具.
  • 这种方法为电力公司提供了一种可靠的方法来监测绝缘体健康状况并预测故障,从而提高电力供应的可靠性.