Jove
Visualize
联系我们

相关概念视频

Zones of Protection01:16

Zones of Protection

730
In power systems, the entire setup is divided into protective zones to isolate faults and protect the rest of the network. These zones include generators, transformers, buses, transmission lines, distribution lines, and motors. Each zone can be visualized as a separate room in a house, with each room protected by its own circuit breaker.
Protective zones are defined by closed dashed lines, containing one or more components. A key characteristic of these zones is the strategic placement of...
730
Line Protection with Impedance Relays01:27

Line Protection with Impedance Relays

411
Coordinating time-delay overcurrent relays in complex radial systems and directional overcurrent relays in multi-source transmission loops can be challenging. Impedance relays address these issues by responding to the voltage-to-current ratio, specifically measuring the apparent impedance of a line. These relays become more sensitive during faults as current increases and voltage decreases, thereby reducing the apparent impedance.
Under normal conditions, low load currents keep the measured...
411
Reclosers and Fuses01:26

Reclosers and Fuses

428
Automatic circuit reclosers enhance the protection of distribution circuits by interrupting and auto-reclosing an AC circuit according to a preset sequence. They effectively manage temporary faults on overhead distribution lines, often caused by tree limbs or wildlife, by briefly disrupting service to improve overall reliability. However, contact with reclosers or energized broken conductors on the ground can pose serious hazards.
A comprehensive protection scheme for radial distribution...
428
Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

495
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...
495
Insulation Coordination01:23

Insulation Coordination

537
Insulation coordination is the process of matching electric equipment's insulation strength with protective device characteristics to protect the equipment against expected overvoltages. This selection is based on engineering judgment and cost. Equipment can generally withstand short-duration high transient overvoltages, but repeated tests with identical waveforms can yield inconsistent results. As a result, standard impulse voltage waveforms are used for testing, defined by specific times...
537
Radial System Protection01:23

Radial System Protection

405
Radial systems employ time-delay overcurrent relays to reduce load interruptions. When a fault occurs, the nearest breaker opens first, while upstream breakers remain closed due to longer delay settings. This approach ensures minimal disruption to the rest of the system.
In a radial system with a fault downstream of the third breaker, ideally, only the third breaker will open, isolating the fault and interrupting the load connected beyond it. The second breaker has a longer delay setting,...
405

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

An intelligent protection scheme for DC networks using a machine learning-based multi-agent platform.

Scientific reports·2025
Same author

Development and construction of a portable wind tunnel for investigating wind erosion through the application of photogrammetry techniques.

Scientific reports·2025
查看所有相关文章
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jan 8, 2026

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

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

Published on: February 14, 2025

974

一个基于微电网保护剂的故障分类方案与参数冲击分析.

Saman Esmaeilbeigi1, Hossein Kazemi Karegar2, Abolfazl Najar3

  • 1Department of Electrical Engineering, Shahid Beheshti University, Tehran, Iran. s_esmaeilbeigi@sbu.ac.ir.

Scientific reports
|December 22, 2025
PubMed
概括

本研究介绍了一种基于保护剂 (PA) 的方法,使用混合深度神经网络 (DNN) 进行微电网故障检测和定位 (FDL). 该研究调查了各种参数如何影响FDL准确性,为改进微电网保护策略提供了见解.

关键词:
深度神经网络 (DNN) 是一个深度神经网络.故障检测和定位 (FDL) 是指故障的发现和定位.智能电子设备 (IED) 是一种智能电子设备.微电网.一个微电网.过电流保护 过电流保护参数的影响力参数.保护剂 (PA) 是一种保护剂.

更多相关视频

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
04:35

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

Published on: July 5, 2024

2.3K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

990

相关实验视频

Last Updated: Jan 8, 2026

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

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

Published on: February 14, 2025

974
Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
04:35

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

Published on: July 5, 2024

2.3K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

990

科学领域:

  • 电气工程 电气工程
  • 电力系统 电力系统
  • 人工智能的人工智能

背景情况:

  • 微电网保护在故障识别方面面临着挑战.
  • 过电流保护是常见的,但深度神经网络 (DNN) 提供了更高的准确性.
  • 基于深度学习的故障检测和定位 (FDL) 方案可能对参数变化敏感.

研究的目的:

  • 提出基于保护剂 (PA) 的故障分类方法,使用智能电子设备 (IED) 和微电网的混合DNN.
  • 调查各种参数对基于DNN的FDL系统性能的影响.
  • 对拟议的FDL计划进行全面的敏感性分析.

主要方法:

  • 开发了一个FDL方案,使用两种类型的DNN (单层和混合层) 和PA.
  • 分析了基于超电流的保护场景和参数影响.
  • 对微电网拓,IED,DNN结构,保护方案和数据传输等因素进行了数据和灵敏度分析.

主要成果:

  • 拟议的算法实现了高精度,故障检测率从95.54%到99.96%不等.
  • 故障类型/相位检测精度在95.56%至99.86%之间,故障位置错误在1.27%至6.51%之间.
  • 混合DNN (DNN-2) 始终优于单层DNN (DNN-1),尽管观察到参数灵敏度.

结论:

  • 基于PA的混合DNN方法提高了微电网故障分类和位置准确性.
  • 参数选择和微电网配置显著影响基于DNN的保护方案的性能.
  • 这项研究为利用智能方法优化微电网保护提供了宝贵的见解.