Jove
Visualize
联系我们
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

相关概念视频

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

107
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...
107
Zones of Protection01:16

Zones of Protection

167
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...
167
Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

83
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...
83
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

129
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...
129
Line Protection with Impedance Relays01:27

Line Protection with Impedance Relays

79
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...
79
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

191
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:
191

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

Cross-attention-based multimodal fusion for early diabetic retinopathy detection.

Scientific reports·2026
Same author

Exploring Deep Learning Models for Small Histopathology Datasets: Segmentation and Classification of Glomerular Crescent Lesions with Ablation, Interpretability, and Calibration Analyses.

Interdisciplinary sciences, computational life sciences·2026
Same author

Exploration of Household Socioeconomic Factors Related to Fertility and Child Mortality in Pakistan.

American journal of human biology : the official journal of the Human Biology Council·2026
Same author

A LangChain-facilitated conversational approach to cataract disease: A pilot study with large language models.

Digital health·2026
Same author

Towards a cybersecure and privacy enhanced smart grid: A blockchain enabled federated learning framework.

PloS one·2026
Same author

Correction: NIDD-enabled lightweight intrusion detection for effective DDoS mitigation in 5G and beyond.

Scientific reports·2026
Same journal

DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions.

PeerJ. Computer science·2026
Same journal

Alzheimer's disease detection using a quantum deep neural network with Haralick feature extraction and simulated annealing optimization.

PeerJ. Computer science·2026
Same journal

Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network.

PeerJ. Computer science·2026
Same journal

An anomaly detection model for multivariate time series with anomaly perception.

PeerJ. Computer science·2026
Same journal

Retraction: A wormhole attack detection method for tactical wireless sensor networks.

PeerJ. Computer science·2026
Same journal

Evaluation of mental disorder with prioritization of its type by utilizing the bipolar complex fuzzy decision-making approach based on Schweizer-Sklar prioritized aggregation operators.

PeerJ. Computer science·2026
查看所有相关文章

相关实验视频

Updated: Jun 27, 2025

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

524

针对使用大数据和人工智能的智能电网攻击的安全风险模型.

Yazeed Yasin Ghadi1, Tehseen Mazhar2, Khursheed Aurangzeb3

  • 1Computer Science and Software Engineering Department, Al Ain University, Abu Dhabi, United Arab Emirates.

PeerJ. Computer science
|April 30, 2024
PubMed
概括
此摘要是机器生成的。

智能电网需要先进的网络安全. 人工智能和大数据提供灵活的解决方案来检测新的威胁,并提高对网络攻击的安全性.

关键词:
人工智能的人工智能是人工智能.自动化分销网络的自动化分销网络.大数据就是大数据.区块链 区块链 区块链 区块链网络安全 网络安全网络安全风险 网络安全风险深度学习是一种深度学习.机器学习 机器学习方法 方法 方法智能电网是一个智能电网.

更多相关视频

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

335
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K

相关实验视频

Last Updated: Jun 27, 2025

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

524
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

335
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K

科学领域:

  • 电气工程 电气工程
  • 计算机科学 计算机科学
  • 网络安全 网络安全

背景情况:

  • 电力基础设施的现代化需要智能电网 (SG) 的发展.
  • 现有的安全技术难以满足智能电网严格的网络安全需求.
  • 对不断发展的网络威胁进行有效的防御需要新的方法和技术.

研究的目的:

  • 探索人工智能 (AI),机器学习 (ML) 和深度学习 (DL) 的应用,以加强智能电网网络安全.
  • 识别和分析针对智能电网的各种网络攻击载体.
  • 讨论人工智能和大数据在智能电网安全方面的挑战和潜力.

主要方法:

  • 利用AI,ML和DL进行灵活的数据评估和风险识别.
  • 采用具有适应性行为的机器学习模型来检测新奇和意想不到的攻击.
  • 整合新的和现有的数据集与机器学习和预测分析,以提高安全性.

主要成果:

  • 人工智能和大数据使我们能够更深入地了解智能电网当前的网络安全环境.
  • 机器学习有助于识别新的和不可预见的网络威胁.
  • 将大数据与人工智能相结合,为智能电网安全挑战提供了可行的解决方案.

结论:

  • 人工智能和大数据对于解决智能电网中复杂的网络安全问题至关重要.
  • 对人工智能和大数据应用的进一步研究可以显著增强智能电网的弹性.
  • 该研究强调了这些技术超越智能电网的潜力,包括医疗保健.