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相关概念视频

Distribution Reliability and Automation01:25

Distribution Reliability and Automation

105
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...
105
Secondary Distribution01:25

Secondary Distribution

80
Secondary distribution systems provide electrical energy at the utilization voltage levels from distribution transformers to customer meters. Typical secondary voltages in the United States include 120/240 V for residential use, 208Y/120 V for residential and commercial use, and 480Y/277 V for industrial and high-rise commercial use.
In residential areas, 120/240 V single-phase, three-wire service is commonly used for lighting, outlets, and large appliances. Urban areas with high-density loads...
80
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

167
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:
167
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

94
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
94
Electrical Power01:07

Electrical Power

3.0K
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...
3.0K
Power System Distribution01:25

Power System Distribution

226
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...
226

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相关实验视频

Updated: Jun 3, 2025

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

243

向数据驱动的电力管理:多区域统一的数据和知识图.

Vid Hanžel1, Blaž Bertalanič2, Carolina Fortuna2

  • 1Jozef Stefan Institute, Ljubljana, 1000, Slovenia. vid.hanzel@gmail.com.

Scientific data
|January 9, 2025
PubMed
概括

这项研究解决了对家庭电力消费数据的需求,以应对气候变化. 它介绍了一个新的多区域数据集和知识图,以实现更好的分析和数据驱动的能源效率政策.

科学领域:

  • 能源政策 能源政策
  • 数据科学数据科学数据科学
  • 环境科学 环境科学

背景情况:

  • 全球电力消耗量正在增加,原因是人口和技术.
  • 住宅部门占全球电力使用量的25%,提供了显著的效率潜力.
  • 缺乏统一的,多区域的家庭数据阻碍了气候变化缓解努力.

研究的目的:

  • 引入家庭电力消耗的标准化,多区域数据集.
  • 为增强数据分析和互操作性开发一个RDF知识图.
  • 促进能源部门的数据驱动政策和商业发展.

主要方法:

  • 汇编了来自多个地区的公开可用的家庭电力消费数据.
  • 将标准化数据转化为统一的格式,以确保可访问性.
  • 开发了一个资源描述框架 (RDF) 知识图,以结构化和语境化消费数据.

主要成果:

  • 创建了一个新的家庭电力消费的多区域数据集.
  • 建立了一个RDF知识图,将消费数据与家庭财产联系起来.
  • 启用机器学习应用程序,如分类和需求预测.

结论:

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  • 新的数据集和知识图表解决了能源研究中的关键数据缺口.
  • 结构化数据支持能源利益相关者进行先进的分析和知情决策.
  • 促进与现有的开放知识库的互操作性,以获得更广泛的影响.