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相关概念视频

Zones of Protection01:16

Zones of Protection

760
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...
760
Masking and Demasking Agents01:19

Masking and Demasking Agents

3.4K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
3.4K
Line Protection with Impedance Relays01:27

Line Protection with Impedance Relays

438
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...
438
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

392
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
392
Transformers in Distribution System01:27

Transformers in Distribution System

498
Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
498
Multimachine Stability01:25

Multimachine Stability

545
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
545

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相关实验视频

Updated: Jan 16, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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基于机器学习的多代理平台的直流网络智能保护方案.

Saman Esmaeilbeigi1, Hossein Kazemi Karegar2, Amirhossein Akbarisharif3

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

Scientific reports
|September 26, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新型的多代理人工智能系统,用于保护DC微电网 (DCMGs). 先进的方案精确地分类和定位故障,提高电网稳定性和安全性.

关键词:
电流微电网是 DC 的微电网.决策树 决策树是一个决策树.深度神经网络是一种深度神经网络.故障检测 检测故障检测错误的位置 错误的位置基于多代理保护的多代理保护.支持矢量机器的支持矢量机器.

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

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相关实验视频

Last Updated: Jan 16, 2026

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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:

  • 直流微电网 (DCMGs) 的集成正在增加,由于基于逆变器的发电,这带来了独特的保护挑战.
  • 传统的保护方法对于DCMG的独特故障电流特性是不够的.

研究的目的:

  • 为直流微电网 (DCMGs) 提出一种基于多种代理的新型保护方案.
  • 开发和评估三种不同的人工智能驱动的故障分类和定位方法.

主要方法:

  • 设计了一个包含设备,变电站和系统层的多代理系统.
  • 机器学习算法 (SVM,DT) 和深度神经网络 (DNN) 用于故障分类和定位.
  • 模拟使用DIGSILENT,MATLAB和Python (TensorFlow/Keras) 进行.

主要成果:

  • 拟议方案在故障检测和定位方面表现出高效率.
  • 这三种故障分类方法实现了精确的故障识别和精确的故障位置.
  • 深度神经网络显示了对故障分类的增强训练能力.

结论:

  • 开发的多剂保护方案对DCMGs有效.
  • 基于AI的故障检测,分类和定位方法是可靠和准确的.
  • 这项研究证实了人工智能在保护现代电力系统方面的潜力.