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相关概念视频

Zones of Protection01:16

Zones of Protection

194
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...
194
Power System Distribution01:25

Power System Distribution

243
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...
243
Electrical Power01:07

Electrical Power

3.1K
Electric power is the product of current and voltage, represented in units of joules per second, or watts. For example, cars often have one or more auxiliary power outlets with which you can charge a cell phone or other electronic devices. These outlets may be rated at 20 amps and 12 volts, so that the circuit can deliver a maximum power of 240 watts. Consider a 25 Watt bulb and a 60 Watt bulb. The conversion of electrical energy produces heat and light, while the kinetic energy lost by the...
3.1K
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

110
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...
110
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

216
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:
216
Pilot and Numeric Relaying01:21

Pilot and Numeric Relaying

88
Pilot relaying is a type of differential protection used in power systems. It compares electrical quantities at the terminals of equipment via a communication channel instead of direct relay interconnection. This method is essential for transmission lines where the terminals are far apart, typically up to 80 km for lines with 69 to 115 kV ratings. Four types of communication channels are used for pilot relaying:
88

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相关实验视频

Updated: Jul 13, 2025

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

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Published on: February 14, 2025

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基于人工智能的安全电网协议,用于智慧城市.

Adel Sulaiman1, Bharathiraja Nagu2, Gaganpreet Kaur2

  • 1Department of Computer Science, College of Computer Science, and Information Systems, Najran University, Najran 61441, Saudi Arabia.

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

本研究介绍了一种基于人工智能的方法,使用长短期内存 (LSTM) 和循环神经网络 (RNN) 来提高智能电网的安全性和效率. 该方法有效地检测电网中的网络威胁,改善数据管理和隐私.

关键词:
网络安全 网络安全边缘云辅助的边缘云.电网 电网 电网 电网 电网经常性的神经网络.有保障的电网安全.智慧城市是智慧城市.

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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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相关实验视频

Last Updated: Jul 13, 2025

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科学领域:

  • 电气工程 电气工程
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 现代电力系统越来越复杂,集成了众多智能电网组件,产生大量数据.
  • 传统计算与智能电网数据作斗争,需要人工智能驱动的解决方案来有效管理和安全.
  • 网络攻击对智能电网的稳定性和效率构成重大威胁.

研究的目的:

  • 使用LSTM和RNN开发基于AI的模型,以增强智能电网的动态特性.
  • 区分正常的系统变化和实时网络威胁,包括来自修订编码方案 (RES) 的网络威胁.
  • 为安全和高效的消费者电力数据共享提出联合学习战略.

主要方法:

  • 开发LSTM和RNN模型,以适应性地捕捉时间变化的能源系统属性.
  • 实施联合学习策略,支持边缘云,以共享消费者数据,优先考虑隐私和通信效率.
  • 为能源数据所有者 (EDO) 和能源服务运营设计优化问题,考虑非独立和相同分布的 (IID) 数据效应.

主要成果:

  • 拟议的LSTM基于RNN的结构有效地识别了假数据注入攻击 (FDIA) 和其他网络威胁.
  • 模拟表明,该方法成功地鼓励EDO使用高质量的本地模型,提高能源服务提供商的支付并减少延迟.
  • 与其他测试模型相比,LSTM模型的训练时间更长,训练损失更高,但实现了有效的威胁检测.

结论:

  • 开发的基于人工智能的方法,特别是使用LSTM RNN,为检测智能电网中复杂的网络威胁提供了强大的解决方案.
  • 联合学习策略确保了消费者隐私,同时实现了高效的数据利用,以改善电网运行.
  • 该方法提高了智能电网的安全性,效率和数据管理能力,以应对不断变化的威胁和数据复杂性.